Zheng, D.; Shen, G.; Wang, B.; Dai, G.; Lin, F.; Hu, J.; Ye, J.; Fang, S.; Hao, Z.; Wang, X.; et al. The analytical model is established based on the following assumptions: (3) Neglected conductivity and eddy-current effects; The magnetic field solution domain of the motor can be divided into four types of subdomains, as shown in, The following two cases: uniform demagnetization and partial demagnetization, are analyzed. Levy, Revisiting optimal Delaunay triangulation for 3D graded mesh generation, SIAM Journal on Scientific Computing, vol. Chen, J.Y. In practical applications, it is often necessary to identify a large range of invasive plants, which requires the installation of a hyperspectral imager on a UAV for image acquisition. ; Perles, S.; Schmit, J.P. On this basis, the corresponding relationship between the demagnetization degree and the fault signature is established, to provide a theoretical foundation for the subsequent demagnetization fault diagnosis. Feature Such as the selection and collection of optimal conditions for hyperspectral images of the plant under test, the determination of the spectral distributions and correlated color temperatures of solar radiations, the calibration of black and white under different atmospheric conditions, the possibility of mounting a hyperspectral sensor on an unmanned aircraft, the calibration of the sensor, the collection, storage and analysis. In Proceedings of the International Conference on Unmanned Aircraft Systems (ICUAS), Athens, Greece, 14 September 2020; pp. 3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis. ; Eiras-Dias, J.; Cunha, J.; Silvestre, J.; Melo-Pinto, P. Grapevine variety identification using "Big Data" collected with miniaturized spectrometer combined with support vector machines and convolutional neural networks. Levy, F. Sun, D.M. Annotating images with descriptive labels may increase agreement between radiologists with different experience levels compared to annotation with interpretive labels. Multiple requests from the same IP address are counted as one view. ; Liu, Q.; Fan, W.; Sun, Z.Y. 6, (2018), H.S. 4, 2011, Y. Liu, W. Wang, B. 5(3): 4931-4938, (2020), L. Liu, W. Xu, M. Zollhoefer, H. Kim, F. Bernard, M. Habermann, W. Wang, and C. Theobalt,Neural rendering and reenactment of human actor videos,ACM Transactions on Graphics, vol. 6, (2018), C.J. 4, 2013, Z.C. Covering all aspects of tree and hedge workin Hampshire, Surrey and Berkshire, Highly qualified to NPTC standardsand have a combined 17 years industry experience. IEEE Transactions on Visualization and Computer Graphics, vo. ; Baldeck, C.A. For more information, please refer to Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images pp. Included in the analysis is a method for automatic anatomical landmark localization based on convolutional neural networks. prior to publication. (This article belongs to the Special Issue, Endoscopic ultrasound (EUS)-guided tissue acquisition (EUS-TA) is less accurate in obtaining samples from gastrointestinal subepithelial lesions (SELs) 2 cm than from pancreatic cancers. ; Zhu, S.F. Metabolic syndrome (MetS) is a cluster of risk factors including hypertension, hyperglycemia, dyslipidemia, and abdominal obesity. Moreover, we examined the effects of data augmentation in the prediction accuracy. 3090-3099. Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition pp. Metabolism-related risk factors include diabetes and heart disease. Wang, D. Cohen-Or, and B.Q. 35. no. Eighty images of vegetation were collected using the hyperspectral camera and were used in this study. H. Pottmann, Y. Liu, J. Wallner, A. Bobenko, and W. Wang, Geometry of multi-layer freeform structures for architecture, ACM Transactions on Graphics (SIGGRAPH 2007), vol. A system and method are described for automating the analysis of cephalometric x-rays. Included in the analysis is a method for automatic anatomical landmark localization based on convolutional neural networks. L. Lu, Y.K. For more information, please refer to While the total accuracy is reduced, a satisfactory recognition accuracy is obtained in a shorter period of time. 6, (2017), W. K. Chen, Y, X. Ma, S. Lefebvre, S. Q. Xin, J. Martinez, and W. Wang, Fabricable tile decors, ACM Transactions on Graphics (SIGGRAPH Asia), vol. Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. By analyzing different combination models, it is found that the total accuracy of SG-SVM is the highest, followed by SG-ACO-SVM. L Chu, H Pan, and W. Wang, Unsupervised shape completion via deep prior in the neural tangent kernel perspective, ACM Transactions on Graphics, vol. 7, no. Monitoring the Invasion of Spartina Alterniflora Using Hyperspectral Remote Sensing Image of GF-5. Hu, J Kautz, Y.Z, Yu, and W. Wang, Speaker-following video subtitles, ACM Transactions on Multimedia Computing, Communications and Applications, vol. 37, no. permission provided that the original article is clearly cited. In. ; Hyun, D.; Jeong, M.; Kommuri, S.K. The demagnetization fault model of a motor is generally established by changing the remanence or magnetic coercivity of the materials of the PM [, In the magnetic equivalent circuit method, the actual non-uniformly distributed magnetic field is regarded as a multi-section average magnetic circuit, and then the calculation is carried out by analogy with the calculation criteria in the electric circuit. progress in the field that systematically reviews the most exciting advances in scientific literature. | Reg. No.98CH36242), St. Louis, MO, USA, 1215 October 1998; Volume 1, pp. Wang, Robust flow-guided neural prediction for sketch-based freeform surface modeling, ACM Transactions on Graphics (SIGGRAPH Asia), vol. ; Morgenroth, J.; Pearse, G.D. This prospective study recruited patients with UVFP, and the diagnosis was confirmed with videolaryngostroboscopy and LEMG. Hyperspectral technology has the potential to identify similar species. https://www.mdpi.com/openaccess. Advanced Eccentricity Fault Recognition in Permanent Magnet Synchronous Motors Using Stator Current Signature Analysis. Li, H. Pan, Y. Liu, X. Tong, A. Sheffer, and W.P. Localized Boundary Detection and Parametrization for 3-D Sensor Networks[J]. On the other hand is the consideration of the average spectra of more organs of the invasive plant, such as the flowers, stems, leaves, etc. Feng, J.; Liu, Y.H. Li, H. Pan, Y. Liu, X. Tong, A. Sheffer, and W. Wang, BendSketch: modeling freeform surfaces through 2D sketching, ACM Transactions on Graphics (SIGGRAPH), vol. Inflammasomes are multiprotein oligomers that can initiate inflammatory responses. Z.G. The mesh on the real and virtual coordinate systems is first aligned by matching the center of mass, and the Iterative Closest Point (ICP) method is applied to perform more precise registration. Domestic and foreign researchers have accomplished many achievements on invasive plants based on hyperspectral data, most of which are based on the spatial distribution [, SVM is a classical machine learning algorithm based on traditional theory; the core content of this is to transform the object of our study into a high-dimensional feature space by nonlinear transformation and to construct a linear decision function in the high-dimensional space to realize the nonlinear decision function of the original space [, RF is a combination of classification trees that implements randomization [, The performance of all of the combined models was evaluated based on four statistical parameters, namely, accuracy (A), average accuracy (AA), average precision (AP) and test time, which were often used to evaluate the performance of the classification models and calculated from Equations (11) and (12) [. 31, no. 26. no. Evidence-based scientometric analysis was performed in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guideline, resulting in 71 included review works. We use cookies on our website to ensure you get the best experience. Associations of inflammasomes with systemic diseases such as obesity and insulin resistance have been reported. Bonah, E.; Huang, X.; Yi, R.; Aheto, J.H. ; Shi, X.W. ; Eskelson, B.N.I. You are accessing a machine-readable page. 32. no. H. Pan, Y.K. For a proper diagnosis of CVD disease, an inexpensive solution based on phonocardiogram (PCG) signals is proposed. Acknowledgements are due the staff, particularly H. Spohn, L. Solomon, and A. Steinman, whose discussions with the author led to this article, and to Catherine S. Henderson, who typed the manuscript. 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. Methods: We employed double immunohistochemical stainings for CD31, P-gp, S100A10, Background: Vascular co-option is one of the main features of brain tumor progression. validation, C.S. Liu, J.B.; Han, J.C.; Chen, X.; Shi, L.; Zhang, L. Nondestructive detection of rape leaf chlorophyll level based on Vis-NIR spectroscopy. Huang, H.; Liu, J.; Liu, S.; Wu, T.; Jin, P. A method for classifying tube structures based on shape descriptors and a random forest classifier. 4, (2020), X Long, L Liu, C Theobalt, and W. Wang, Occlusion-aware depth estimation with adaptive normal constraints, European Conference on Computer Vision (ECCV), 640-657, (2020), G Wei, Z Cui, Y Liu, N Chen, R Chen, G Li, and W Wang, TANet: Towards fully automatic tooth arrangement, European Conference on Computer Vision (ECCV), 481-497, (2020), C Lin, T Fan, W Wang, and M Niener, Modeling 3Dshapes by reinforcement learning, European Conference on Computer Vision (ECCV), 545-561,(2020), N.L. What Do Navigation Agents Learn About Their Environment? All of these variables raise medical costs. In order to reduce the burden on dentists, this paper proposes a convolutional neural network (CNN)-based regional Usman, A.; Rajpurohit, B.S. Patients were categorized into pre-alert and post-alert groups. You will then receive an email that contains a secure link for resetting your password, If the address matches a valid account an email will be sent to __email__ with instructions for resetting your password. All articles published by MDPI are made immediately available worldwide under an open access license. 40, no. 25, no. methods, instructions or products referred to in the content. The collection sites were Jiulong town (232229.5 N, 1132952.9 E; 232213.4 N, 1132846.9 E) (collected, These seven IAPs pose a huge threat to native species and biodiversity. All articles published by MDPI are made immediately available worldwide under an open access license. Help us to further improve by taking part in this short 5 minute survey, Modelling of Backscattering off Filaments Using the Code IPF-FD3D for the Interpretation of Doppler Backscattering Data, Rapid Localization and Mapping Method Based on Adaptive Particle Filters, Multiscale Kernel-Based Residual CNN for Estimation of Inter-Turn Short Circuit Fault in PMSM, Sensors for Electric Machines Fault Diagnosis and Condition Monitoring, https://creativecommons.org/licenses/by/4.0/. In the dimension reduction method based on PCA and ACO, SVM model recognition based on the ACO dimension reduction method is better. ResearchGate is a network dedicated to science and research. ; Qiao, X. UAV and a deep convolutional neural network for monitoring invasive alien plants in the wild. Tooth demineralization is one of the most common intraoral diseases, encompassing (1) caries caused by acid-producing bacteria and (2) erosion induced by acid of non-bacterial origin from intrinsic sources (e.g. Metabolic syndrome (MetS) is a cluster of risk factors including hypertension, hyperglycemia, dyslipidemia, and abdominal obesity. ; Zhang, Z.; Manea, A.; Tooth, I.M. The nine groups of data were combined with classification methods (SVM and RF) to establish different classification models to obtain the best recognition method for invasive plants. 5, (2019), L. Chu, H. Pan, Y. Liu, and W. Wang,Repairing man-made meshes via visual driven global optimization with minimum intrusion, ACM Transactions on Graphics (SIGGRAH Asia), vo. [. methods, instructions or products referred to in the content. Following that, a new CVT-Trans architecture was created to categorize the CWTS signals into five groups. 34, no. Explainable Transformer-Based Neural Network for the Prediction of Survival Outcomes in Non-Small Cell Lung Cancer (NSCLC). 12, (2015), pp. 36, no. ; Matthews, E.R. Gosselin, H.; Sagan, V.; Maimaitiyiming, M.; Fishman, J.; Belina, K.; Podleski, A.; Maimaitijiang, M.; Bashir, A.; Balakrishna, J.; Dixon, A. Elly Kipkogei, Gustavo Alonso Arango Argoty, Ioannis Kagiampakis, Arijit Patra, Etai Jacob. : 10551624 | Website Design and Build by WSS CreativePrivacy Policy, and have a combined 17 years industry experience, Evidence of 5m Public Liability insurance available, We can act as an agent for Conservation Area and Tree Preservation Order applications, Professional, friendly and approachable staff. One aspect that should be considered in future research is the spectral monitoring of invasive plants over their entire period. Li, Z.; Huang, X.; Yu, Y.; Jiang, D.; Wu, L.; Shi, T. Nonlinear Analytical Modelling for Surface-Mounted Permanent Magnet Motors with Magnet Defect Fault. Each axis can influence the development and progression of disease through interactions. CVPR2022-Papers-with-Code-Demo | Welcome |Table of Contents Backbone /Dataset NAS Knowledge Distillation / Multimodal Contrastive Learning / Graph Neural Networks / Capsule Network / Image Classification Online reinforcement learning control by Bayesian inference. 31, no. ; Yu, S. Vis-NIR hyperspectral imaging for the classification of bacterial foodborne pathogens based on pixel-wise analysis and a novel CARS-PSO-SVM model. Studies have shown that the interference of noise, astigmatism and baseline drift caused by human factors and background can be reduced by preprocessing [, First derivatives (FD) can reduce hyperspectral mutual interference and reduce noise in the analysis of hyperspectral data [, The smoothing methods include moving window smoothing and SavitzkyGolay (SG) convolution smoothing [, The standard normal variate (SNV) transformation is mainly used to eliminate the influence of solid particle size, surface scattering and optical path changes on the reflected spectrum [, The raw and preprocessing spectral data are 138-dimensional, and a high number of dimensions may lead to low efficiency of hyperspectral modeling and poor model performance. Zhong, X.H. applied five preprocessing methods, including standard normal variate (SNV), multiple scattering correction, SavitzkyGolay (SG) smoothing, normalization and first derivative (FD), to pretreat the spectral data, and then a SVM model was used for the determination of moisture content in barley seeds [, Meanwhile, it is necessary to select the information that is valuable for the experiment, as hyperspectral data are always redundant and much information is useless [. The fault diagnosis is realized by monitoring the difference between the actual performance and the predicted performance of the motor. 3, 2007. 73, March - April, (2016), pp. Copyright Contour Tree and Garden Care | All rights reserved. Yu, C.H. Compared with the normal side, the peak turn frequency of the lesioned side was lower in the TA-LCA (, This study proposes a markerless Augmented Reality (AR) surgical framework for breast lesion removal using a depth sensor and 3D breast Computed Tomography (CT) images. Verkroost, L.; De Bisschop, J.; Vansompel, H.; De Belie, F.; Sergeant, P. Active Demagnetization Fault Compensation for Axial Flux Permanent-Magnet Synchronous Machines Using an Analytical Inverse Model. Within breast imaging, AI, especially machine learning and deep learning, honed with unlimited cross-data/case referencing, has found great utility encompassing four facets: screening and detection, diagnosis, disease monitoring, and data management as a whole. Each month the JOE publishes an Editorial highlighting certain articles of particular interest. This work will be carried out again in around 4 years time. 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Instance-Wise Occlusion and Depth Orders in Natural Scenes, PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation With Photometrically Challenging Objects, Replacing Labeled Real-Image Datasets With Auto-Generated Contours, M5Product: Self-Harmonized Contrastive Learning for E-Commercial Multi-Modal Pretraining, It Is Okay To Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection, From Representation to Reasoning: Towards Both Evidence and Commonsense Reasoning for Video Question-Answering, Point Cloud Pre-Training With Natural 3D Structures, The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift, SmartPortraits: Depth Powered Handheld Smartphone Dataset of Human Portraits for State Estimation, Reconstruction and Synthesis, BigDatasetGAN: Synthesizing ImageNet With Pixel-Wise Annotations, Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task, Unifying Panoptic Segmentation for Autonomous Driving, DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection, SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation, Ithaca365: Dataset and Driving Perception Under Repeated and Challenging Weather Conditions. GanOrCon: Are Generative Models Useful for Few-Shot Segmentation? The Feature Paper can be either an original research article, a substantial novel research study that often involves Chen, L. Chu, Y.H. It is identified using histopathological analysis, but no antibody-specific markers were found, and no universally accepted histological features were defined. Two breast radiologists visually compared the overall image quality of the original and synthesized images derived from the short-acquisition time data (scores of 15). Hyperspectral remote sensing, which combines the advantages of imaging and spectroscopy, has been successfully applied to invasive plant monitoring. This type of Compared with the RF classifier, the SVM classifier has a better recognition effect on invasive plants. PDF | On Jun 1, 2012, Jaafar Alsalaet published Vibration Analysis and Diagnostic Guide | Find, read and cite all the research you need on ResearchGate Papp, L.; van Leeuwen, B.; Szilassi, P.; Tobak, Z.; Szatmari, J.; Arvai, M.; Meszaros, J.; Pasztor, L. Monitoring Invasive Plant Species Using Hyperspectral Remote Sensing Data. Topic Editors: Adriano Carnevali, Vincenzo Scorcia, Giuseppe Giannaccare, Topic Editors: Louis Arnould, Ryo Kawasaki, Fabrice Meriaudeau, Joo Barbosa-Breda, Topic Editors: Cecilia Di Ruberto, Alessandro Stefano, Albert Comelli, Lorenzo Putzu, Andrea Loddo, Topic Editors: Manuel Scimeca, Nicola Fusco, Rita Bonfiglio, Alessandro Mauriello, Help us to further improve by taking part in this short 5 minute survey, International Society for Infectious Diseases in Obstetrics and Gynaecology (ISIDOG), Swiss Union of Laboratory Medicine (SULM), Aerodynamic Performance and Neuromuscular Control in Patients with Unilateral Vocal Fold Paralysis, Computer-Aided Breast Surgery Framework Using a Markerless Augmented Reality Method, Artificial Intelligence and Augmented Reality in Diagnostic Radiology, Comparison of 22G Fork-Tip and Franseen Needles and Usefulness of Contrast-Enhanced Endoscopic Ultrasound for Diagnosis of Upper Gastrointestinal Subepithelial Lesions, Endoscopic Ultrasound-Guided Fine-Needle Aspiration (EUS-FNA), Impact of an Electronic Alert in Combination with a Care Bundle on the Outcomes of Acute Kidney Injury, Current Issues on Kidney Diseases Diagnosis and Management, Differential P-Glycoprotein/CD31 Expression as Markers of Vascular Co-Option in Primary Central Nervous System Tumors, Molecular Advances and Diagnostic Issues in Central Nervous System Tumors, The Urinary Microbiome; Axis Crosstalk and Short-Chain Fatty Acid. Furthermore, the selection of feature wavelengths is related to the quality of the preprocessing. ; Lin, C.J. 5100-5113, P. Li, B. Wang, F. Sun, X. Guo, C. Zhang, and W. Wang, Q-MAT: Computing medial axis transform using quadratic error minimization, ACM Transactions on Graphics, vol. Choi, Y.Z. Help us to further improve by taking part in this short 5 minute survey, Antioxidants, Antimicrobial, and Anticancer Activities of Purified Chitinase of, Current Advances in the Action Mechanisms of Safeners, https://creativecommons.org/licenses/by/4.0/. This study investigated the relationship between laryngeal muscle activities using quantitative laryngeal electromyography (LEMG) and aerodynamics in UVFP. No. Li, Y. Liu, W.W. Xu, W. Wang, B.N. ACM Transactions on Graphics, vo. 39, no. N.L. Why choose Contour Tree & Garden Care Ltd? Determination of moisture content in barley seeds based on hyperspectral imaging technology. The continuous wavelet transform-based spectrogram (CWTS) strategy was used to extract representative features from PCG data. ; project administration, C.S. Shu, Intrinsic girth function for shape processing, ACM Transactions on Graphics, vol. to use Codespaces. The GPU of the PC is a NVIDIA GTX 3060. The proposed method in this study showed that the 3D AR visualization of medical data on the patients body is possible by using a single depth sensor without having to use markers. Fifty-seven patients who underwent EUS-TA for SELs 2 cm were evaluated. It is for the neural network to learn both deep patterns using the deep path You seem to have javascript disabled. Convolutional neural networks are used to develop articial intelligence systems for diagnostic tasks in oral and maxillofacial radiology. Symmetry-Aware Neural Architecture for Embodied Visual Exploration, Coopernaut: End-to-End Driving With Cooperative Perception for Networked Vehicles, Topology Preserving Local Road Network Estimation From Single Onboard Camera Image, Coupling Vision and Proprioception for Navigation of Legged Robots, Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation, 3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection, Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior, SelfD: Self-Learning Large-Scale Driving Policies From the Web, Towards Real-World Navigation With Deep Differentiable Planners, Efficient Large-Scale Localization by Global Instance Recognition, CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data, Neural Fields As Learnable Kernels for 3D Reconstruction, HyperStyle: StyleGAN Inversion With HyperNetworks for Real Image Editing, 3PSDF: Three-Pole Signed Distance Function for Learning Surfaces With Arbitrary Topologies, Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian, Deep Image-Based Illumination Harmonization, Glass: Geometric Latent Augmentation for Shape Spaces, PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes, Neural Template: Topology-Aware Reconstruction and Disentangled Generation of 3D Meshes, SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters, CLIP-Forge: Towards Zero-Shot Text-To-Shape Generation, UNIST: Unpaired Neural Implicit Shape Translation Network, CoNeRF: Controllable Neural Radiance Fields, Neural Points: Point Cloud Representation With Neural Fields for Arbitrary Upsampling, Modeling Indirect Illumination for Inverse Rendering, Neural Head Avatars From Monocular RGB Videos, DeepCurrents: Learning Implicit Representations of Shapes With Boundaries, Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination, AnyFace: Free-Style Text-To-Face Synthesis and Manipulation, General Facial Representation Learning in a Visual-Linguistic Manner, Self-Supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection, Detecting Deepfakes With Self-Blended Images, 3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces, Evaluation-Oriented Knowledge Distillation for Deep Face Recognition, AdaFace: Quality Adaptive Margin for Face Recognition, Moving Window Regression: A Novel Approach to Ordinal Regression, FaceFormer: Speech-Driven 3D Facial Animation With Transformers, Neural Emotion Director: Speech-Preserving Semantic Control of Facial Expressions in In-the-Wild Videos, Deep Decomposition for Stochastic Normal-Abnormal Transport, DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification, Node-Aligned Graph Convolutional Network for Whole-Slide Image Representation and Classification, Temporal Context Matters: Enhancing Single Image Prediction With Disease Progression Representations, VRDFormer: End-to-End Video Visual Relation Detection With Transformers, Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation, The Devil Is in the Labels: Noisy Label Correction for Robust Scene Graph Generation, Learning Multiple Dense Prediction Tasks From Partially Annotated Data, PONI: Potential Functions for ObjectGoal Navigation With Interaction-Free Learning, Continual Stereo Matching of Continuous Driving Scenes With Growing Architecture, FIFO: Learning Fog-Invariant Features for Foggy Scene Segmentation, Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding, Equivariant Point Cloud Analysis via Learning Orientations for Message Passing, Not All Points Are Equal: Learning Highly Efficient Point-Based Detectors for 3D LiDAR Point Clouds, 3D Common Corruptions and Data Augmentation, INS-Conv: Incremental Sparse Convolution for Online 3D Segmentation. In the current popular endodontic treatment, most dentists spend a lot of time manually marking the lesion area. Early prediction of metabolic syndrome will highly impact the quality of life of patients as it gives them a chance for making a change to the bad habit and preventing a serious illness in the future. interesting to readers, or important in the respective research area. Department of Computer ScienceRm 301 Chow Yei Ching Building The University of Hong Kong Pokfulam, Hong Kong 301, Email: emailProtector.addCloakedMailto("ep_1dcca321", 1); Based on this mathematical model, the performance parameters of the motor under different operating conditions can be calculated. In this review, we highlighted the mutations in classical genes associated with FPF, including those encoding for telomerases (, Transthoracic echocardiography (TTE) grading of aortic stenosis (AS) is challenging when parameters are discrepant, and four-dimensional cardiac computed tomography (4D-CCT) is increasingly utilized for transcatheter intervention workup. progress in the field that systematically reviews the most exciting advances in scientific literature. PDF | On Jun 1, 2012, Jaafar Alsalaet published Vibration Analysis and Diagnostic Guide | Find, read and cite all the research you need on ResearchGate As a result, the magnetic field distribution of the motor will not be uniform, producing fault harmonics and lowering the operational performance of the motor. The finite element method, which is the most popular numerical method, simplifies the mathematical problem that needs to be solved into a series of arithmetic operations and logic operations by meshing the solving region of the motor and listing the approximate linear algebraic equations. The SG-SVM identified 92.97%, 89.06%, 90.40%, 93.28%, 80.51% and 85.49% accuracy for. Kim, Variational 3D shape segmentation for bounding volume computation, Computer Graphics Forum (EuroGraphics 2007), vol. All articles published by MDPI are made immediately available worldwide under an open access license. How Much Does Input Data Type Impact Final Face Model Accuracy? This viewpoint article aims to provide a concise summary of the literature concerning ultrasonographic indirect measurements of humeral torsional side differences, with technical notes for clinical implementation in case of healed proximal humerus fractures and humeral shaft fractures. This, Unilateral vocal fold paralysis (UVFP) causes glottal incompetence and poor vocal efficiency. Fair-to-excellent agreement was found for all labels among the annotators (Randolphs Kappa, 0.400.99). ; Cho, C.; Diaz Reigosa, D.; Briz, F. Online Detection of Rotor Eccentricity and Demagnetization Faults in PMSMs Based on Hall-Effect Field Sensor Measurements. On the one hand, only traditional machine learning models are used, on the other hand, SVM and RF is mostly suitable for binary classification [, Recent studies have used hyperspectral imaging combined with deep learning methods to monitor invasive plants [. Xu, H.; Zhang, H.; He, W.; Zhang, L. Superpixel-based spatial-spectral dimension reduction for hyperspectral imagery classification. 1 From the Psychiatric Evaluation Project of the Psychology Service, Veterans Administration Hospital, Montrose, New York. A patient mesh in the real coordinate system is acquired through a patient 3D scan using a depth. 221-243, J. Huang, B. Wang, W. Wang, and P. Sen, A surface approximation method for image and video correspondences, IEEE Transactions on Image Processing, vol. Xu, Q.; Liu, X.; Miao, W.; Pong, P.W.T. PhD Alberta; IEEE Fellow, ACM Fellow Emeritus Professor, Now Professor of CSE atTexas A&M University Email: wenping@cs.hku.hk || wenping@tamu.edu. 3, 2006. By changing the waveform of magnetization in the demagnetization region of the PM, the Fourier coefficients in the Fourier expansion of the entire waveform are altered to simulate the uniform demagnetization and the partial demagnetization of a specific region of PM. Shi, C.; Peng, L.; Zhang, Z.; Shi, T. Analytical Modeling and Analysis of Permanent-Magnet Motor with Demagnetization Fault. Topic analysis (or topic detection, topic modeling or topic extraction) is a machine learning technique that automatically analyzes and organizes data by topic. As the IIC predicted death best, we tested the occurrence of death and found that patients with PA who had an IIC > 12.12 presented a risk of death 4.08 times higher in the pre-COVID group and 3.33 times higher in the peri-COVID group. By solving the above equations, the expression of the vector potential in each subdomain can be obtained, to calculate the operation performances such as flux density, flux linkage, and back-EMF. permission is required to reuse all or part of the article published by MDPI, including figures and tables. interesting to readers, or important in the respective research area. Gyftakis, K.; Rasid, S.; Skarmoutsos, G.; Mueller, M. The Demagnetization Harmonics Generation Mechanism in Permanent Magnet Machines with Concentrated Windings. Partial Class Activation Attention for Semantic Segmentation, Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers, Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation, Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation, Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation, L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation, Weakly Supervised Semantic Segmentation Using Out-of-Distribution Data, Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation, Bending Reality: Distortion-Aware Transformers for Adapting to Panoramic Semantic Segmentation, MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation, NightLab: A Dual-Level Architecture With Hardness Detection for Segmentation at Night, RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior, ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes, DisARM: Displacement Aware Relation Module for 3D Detection, Learning Object Context for Novel-View Scene Layout Generation, Weakly but Deeply Supervised Occlusion-Reasoned Parametric Road Layouts, Beyond Cross-View Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image, Raw High-Definition Radar for Multi-Task Learning, Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation, UKPGAN: A General Self-Supervised Keypoint Detector, Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints To Better Classify Objects in Videos, Rethinking Efficient Lane Detection via Curve Modeling, Exploiting Temporal Relations on Radar Perception for Autonomous Driving, Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective, BE-STI: Spatial-Temporal Integrated Network for Class-Agnostic Motion Prediction With Bidirectional Enhancement, ScePT: Scene-Consistent, Policy-Based Trajectory Predictions for Planning, Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion, Vehicle Trajectory Prediction Works, but Not Everywhere, LTP: Lane-Based Trajectory Prediction for Autonomous Driving, ONCE-3DLanes: Building Monocular 3D Lane Detection, Towards Driving-Oriented Metric for Lane Detection Models, Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes, LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection, DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection, A Versatile Multi-View Framework for LiDAR-Based 3D Object Detection With Guidance From Panoptic Segmentation, Forecasting From LiDAR via Future Object Detection, RIDDLE: Lidar Data Compression With Range Image Deep Delta Encoding. and C.S. 1, Article 8, (2015), H. Pan, Y. Liu, A. Sheffer, N. Vining, C. J. Li, and W. Wang, Flow aligned surfacing of curve networks, ACM Transactions on Graphics (SIGGRAPH 2015), vol. Explainable Transformer-Based Neural Network for the Prediction of Survival Outcomes in Non-Small Cell Lung Cancer (NSCLC). Editors Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Visit our dedicated information section to learn more about MDPI. Finding the Needle in the Growing Haystack. A New Method for Predicting Soil Moisture Based on UAV Hyperspectral Image. prior to publication. gaolin@ict.ac.cn 6 The Journal of Endodontics, the official journal of the American Association of Endodontists, publishes scientific articles, case reports and comparison studies evaluating materials and methods of pulp conservation and endodontic treatment.Endodontists and general dentists can learn about new concepts in root canal treatment and the latest advances in techniques and View Full Text ; View PDF ; Assessment of demineralized tooth lesions using optical coherence tomography and other state-of-the-art technologies: a review. The aim is to provide a snapshot of some of the 6, (2019), M. Zhao, X. Jia, C. Tu, B. Mourrain, and W. Wang, Enumerating the morphologies of non-degenerate Darboux cyclides, Computer Aided Geometric Design, vol. The main contributions of this paper include the following: (1) A novel strategy for the demagnetization fault modeling of PM motors is proposed. 1278-1290, W. Hu, Z. Chen, H. Pan, Y. Yu, E. Grinspun, and W. Wang, Surface mosaic synthesis with irregular tiles, IEEE Transactions on Visualization and Computer Graphics, vol. Inflammasomes can trigger inflammation and pyroptosis and ultimately contribute to disease development. The images were captured between 10 am and 3 pm around solar noon on between 21 and 25 November 2020, when the weather was cloudy. This model can be used to determine the motor performance under various types of demagnetization, including radial air gap flux density, back electromotive force (EMF), and torque. 3, 2011, pp. A Framework for Learning Ante-Hoc Explainable Models via Concepts, Exploiting Explainable Metrics for Augmented SGD, FAM: Visual Explanations for the Feature Representations From Deep Convolutional Networks, Interactive Disentanglement: Learning Concepts by Interacting With Their Prototype Representations, B-Cos Networks: Alignment Is All We Need for Interpretability, Learning Fair Classifiers With Partially Annotated Group Labels, Estimating Structural Disparities for Face Models, Estimating Example Difficulty Using Variance of Gradients, Fairness-Aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models, Fair Contrastive Learning for Facial Attribute Classification, Leveraging Adversarial Examples To Quantify Membership Information Leakage, Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers, Deep Unlearning via Randomized Conditionally Independent Hessians, Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets, A Study on the Distribution of Social Biases in Self-Supervised Learning Visual Models. Hamim, M.; El Moudden, I.; Pant, M.D. Factors such as insufficient heat dissipation and excessively high temperature can easily lead to demagnetization of the PMs in permanent-magnet (PM) motors. The quantitative evaluation revealed significantly higher SSIM (, Rutin (RU) is one of the best-known natural antioxidants with various physiological functions in the human body and other plant species. Compared with previous research, it is closer to the practical situation and has the advantages of intuitive model and clear physical concept. Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition pp. Research Interests: Computer Graphics, Computer Vision, Human-Computer Interaction, Scientific Visualization, Virtual Reality (VR/AR),Robotics, Machine Learning,Medical Imaging, Digital Dentistry, and Geometric Modeling. The vector potential in the slot (Region 4) satisfies the Poisson equation. In this paper, a novel strategy for the demagnetization fault modeling of PM motors is proposed. L Chu, H Pan, and W. Wang, Unsupervised shape completion via deep prior in the neural tangent kernel perspective, ACM Transactions on Graphics, vol. Extract 3D information from images and learn the basic principles of geometry-based vision. 38, no. Using NGS, microbiota in the human body were discovered, and it is expected that this will improve our understanding of human diseases. Liu, and B. The patient mesh on the virtual coordinate system is obtained by contrast-based skin segmentation in 3D mesh generated from breast CT scans. Feature Papers represent the most advanced research with significant potential for high impact in the field. Chen, Z. Yuan, Y.K. 6361-6370. Based on the preprocessing results, dimension reduction analysis was conducted by PCA, as shown in, The cumulative contribution rate of the first 138 principal components were calculated as shown in, Based on the preprocessing results, feature selection was carried out by ACO, and the feature bands are shown in. Evaluating the Performance of Deep Learning Frameworks for Malaria Parasite Detection Using Microscopic Images of Peripheral Blood Smears, Novel Molecular Approaches to Evaluate Endometrial Receptivity, Combination of Optical Biopsy with Patient Data for Improvement of Skin Tumor Identification, Inter-Analyser Agreement of Electric Source Imaging in Refractory Epilepsy, Point-of-Care Echocardiography in COVID-19 Patients with Pulmonary Embolism, Unilateral vocal fold paralysis (UVFP) causes glottal incompetence and poor vocal efficiency. F.W. However, the. : project administration. The existing Re-ID methods are mainly realized by using convolutional neural networks (CNNs), but the feature information is easily lost in the operation process due to the down-sampling structure design in CNNs. We use cookies on our website to ensure you get the best experience. Wang, C.X. Please enter a term before submitting your search. He, Autonomous deployment for load balancing ksurface coverage in sensor networks, IEEE Transactions on Wireless Communication, vol. Chen:, DSCarver: decompose-and-spiral-carve for subtractive manufacturing, ACM Transactions on Graphics (SIGGRAPH), vol. The model-based fault diagnosis methods are mainly divided into the numerical method, the magnetic equivalent circuit method, and the analytical method. The present study compared the usefulness of 22G Fork-tip and Franseen needles for EUS-TA and assessed the ability of contrast-enhanced harmonic EUS (CH-EUS) to diagnose SELs 2 cm. ; Weed, A.S.; Seirup, C.E. Deep learning detects invasive plant species across complex landscapes using Worldview-2 and Planetscope satellite imagery. In the visual evaluation, both readers revealed an average score of >3 for all images. ; Sun, H.-L.; Zhu, Z.-Q. Zeng, C.; Huang, S.; Lei, J.; Wan, Z.; Yang, Y. Online Rotor Fault Diagnosis of Permanent Magnet Synchronous Motors Based on Stator Tooth Flux. Kganyago, M.; Odindi, J.; Adjorlolo, C.; Mhangara, P. Evaluating the capability of Landsat 8 OLI and SPOT 6 for discriminating invasive alien species in the African Savanna landscape. 23: 9440. The Feature Paper can be either an original research article, a substantial novel research study that often involves Regenerative Endodontics by Cell Homing: A Review of Recent Clinical trials, Automatic Detection of Periapical Osteolytic Lesions on Cone-beam Computed Tomography Using Deep Convolutional Neuronal Networks, Pulp Regenerative Cell Therapy for Mature Molars: A Report of 2 Cases. Proto2Proto: Can You Recognize the Car, the Way I Do? Conceptualization, T.S., C.S., L.P., and Z.Z. Developing a prediction model that can quickly identify persons at high risk of MetS and offer them a treatment plan is crucial. Comparison of Support Vector Machine and Random Forest Algorithms for Invasive and Expansive Species Classification Using Airborne Hyperspectral Data. Carlier, J.; Davis, E.; Ruas, S.; Byrne, D.; Caffrey, J.M. This can be obtained by standardizing terminology when annotating diagnostic images. The rate of adequate sample acquisition was significantly higher using Fork-tip than Franseen needles (96% vs. 74%; Early diagnosis is essential for the appropriate management of acute kidney injury (AKI). Zhao, H. Zhang, S.Q. Person re-identification (Re-ID) is a key technology used in the field of intelligent surveillance. Deciduous autologous tooth stem cells regenerate dental pulp after implantation into injured teeth: : : 48: : : : 49: We aimed at evaluating the prognostic capacity of the inflammatory indices derived from routine complete blood cell counts in two groups of patients with acute pancreatitis from two different time periods, before and during the COVID-19 pandemic, when a high incidence of complications with surgical risk and mortality was found. To achieve this, operational challenges have to be overcome. Bellia, L.; Blaszczak, U.; Fragliasso, F.; Gryko, L. Matching CIE illuminants to measured spectral power distributions: A method to evaluate non-visual potential of daylight in two European cities. To date, however, its application in the case of trauma patients, for example those with healed PHF and humeral shaft fractures, is not reported. Jia, W. Wang, Y.K. TheJournal of Endodontics, the official journal of theAmerican Association of Endodontists, publishes scientific articles, case reports and comparison studies evaluating materials and methods ofpulp conservationandendodontic treatment. interesting to readers, or important in the respective research area. The major cause of death worldwide is due to cardiovascular disorders (CVDs). The present study is intended to serve as a one-stop center synthesis and provide a holistic birds eye view to readers, ranging from newcomers to existing researchers and relevant stakeholders, on the topic of interest. Yang, On centroidal Voronoi tessellation -- energy smoothness and fast computation, ACM Transactions on Graphics (TOG), vol. Artificial intelligence (AI), a rousing advancement disrupting a wide spectrum of applications with remarkable betterment, has continued to gain momentum over the past decades. We conducted a two-phase study to test the reliability and usability of an all-in-one artificial intelligence-based device (ButterfLife), which allows simultaneous monitoring of five vital signs. ; Wan, X.X. Papers and Code from CVPR 2022, including scripts to extract them. In this paper, we manually applied the high-speed imaging spectrograph S185 manufactured Cubert (Germany) to collect hyperspectral images of seven species of IAP in the wild. prior to publication. Qiao, X.; Liu, X.; Wang, F.; Sun, Z.; Yang, L.; Pu, X.; Huang, Y.; Liu, S.; Qian, W. A Method of Invasive Alien Plant Identification Based on Hyperspectral Images. Regarding its incidence, we do not have precise data due to its rarity. 75, (2019), Y. Ma, X. Zhu, S. Zhang, R. Yang, W. Wang, and D. Manocha,Trafficpredict: Trajectory prediction for heterogeneous traffic-agents,Proceedings of the AAAI Conference on Artificial Intelligence, vol. PDF | On Jun 1, 2012, Jaafar Alsalaet published Vibration Analysis and Diagnostic Guide | Find, read and cite all the research you need on ResearchGate NeRF-Editing: Geometry Editing of Neural Radiance Fields. Test data included dbPET images synthesized by our model from 26 breasts with short acquisition times. Gritli, Y.; Tani, A.; Rossi, C.; Casadei, D. Assessment of Current and Voltage Signature Analysis for the Diagnosis of Rotor Magnet Demagnetization in Five-Phase AC Permanent Magnet Generator Drives. Huang, Y.; Li, J.; Yang, R.; Wang, F.; Li, Y.; Zhang, S.; Wan, F.; Qiao, X.; Qian, W. Hyperspectral Imaging for Identification of an Invasive Plant Mikania micrantha Kunth. It is worth noting that the spectrum of SG-ACO-SVM was only 20-dimensional, while the spectrum of SG-SVM was 138-dimensional. articles published under an open access Creative Common CC BY license, any part of the article may be reused without Severity Estimation for Interturn Short-Circuit and Demagnetization Faults through Self-Attention Network. The authors thank the native English-speaking experts for polishing our paper. Asaari, M.S.M. Bioengineering is an international, scientific, peer-reviewed, open access journal on the science and technology of bioengineering, published monthly online by MDPI.The Society for Regenerative Medicine (Russian Federation) (RPO) is affiliated with Bioengineering and its members receive discounts on the article processing charges.. Open Access free for readers, with article You signed in with another tab or window. By studying the leaf spectra of the seven invasive plants, 18 combination models were able to distinguish seven invasive plants within a short time interval. those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). ; visualization, C.S. In an aspect, the system and method employ a deep database of images and/or prior image analysis results so as to improve the outcome from the present automated landmark Regarding its incidence, we do not have precise data due to its rarity. The aim of this review is to present from the literature the various approaches for this type of tumor, and, regarding innovative therapies or possible prevention, which can be applied in clinical practice. Does Robustness on ImageNet Transfer to Downstream Tasks? R.T. Ling, J. Huang, B. Juettler, F. Sun, H.J. Then, on the basis of preprocessing, principal component analysis (PCA) and ant colony optimization (ACO) were used for feature dimensionality reduction, and the reduced features were used as input variables for later modeling. Editors select a small number of articles recently published in the journal that they believe will be particularly Due to being so close to public highways it was dismantled to ground level. 5, 2007, pp. The purpose of this study was to evaluate the annotation consistency among radiologists when using a novel diagnostic labeling scheme for chest X-rays. Guo, Computing a high-dimensional Euclidean embedding from an arbitrary smooth Riemannian metric, ACM Transactions on Graphics (SIGGRAPH), vol. Sensors 2022, 22, 9440. The equivalent current method and the equivalent remanence method are now the two most commonly used methods. 18, no. The aim is to provide a snapshot of some of the and L.P.; formal analysis, C.S. Choi, W. Wang and M.S. Zhang, W. Wang, Robust modeling of constant mean curvature surfaces, ACM Transactions on Graphics (SIGGRAPH 2012), vol. Please Guo, B.; Huang, Y.; Peng, F.; Dong, J. 2022. 4, (2016), S.Q. paper provides an outlook on future directions of research or possible applications. Finally, preprocessing algorithms, dimensionality reduction algorithms and classifiers were randomly combined to study and explore an optimal identification method for IAPs in the field. How Well Do Sparse ImageNet Models Transfer? Ebrahimi, B.M. Model Knows Best, HINT: Hierarchical Neuron Concept Explainer, Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes. SARS-CoV-2 Identification by Diagnostic/Medical Laboratory: Methods, Statistics, Interesting Cases, Machine Learning Approach for Metabolic Syndrome Diagnosis Using Explainable Data-Augmentation-Based Classification, Cardio-Renal Metabolic Syndrome: Interdisciplinary Diagnostic Methods 2.0, Diagnostic Microbiology and Infectious Disease, Clinical Evaluation of the ButterfLife Device for Simultaneous Multiparameter Telemonitoring in Hospital and Home Settings, Medical Diagnostic Systems Based on Advancing Artificial Intelligence Concepts, Proposal to Improve the Image Quality of Short-Acquisition Time-Dedicated Breast Positron Emission Tomography Using the Pix2pix Generative Adversarial Network, Electrochemical Polymerisation of Glutamic Acid on the Surface of Graphene Paste Electrode for the Detection and Quantification of Rutin in Food and Medicinal Samples, New-Generation Sensors/Prototypes Integrated with Functional Materials for Efficient Diagnostics, Inter- and Intra-Observer Agreement When Using a Diagnostic Labeling Scheme for Annotating Findings on Chest X-raysAn Early Step in the Development of a Deep Learning-Based Decision Support System, Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases-Volume 2, Artificial Intelligence (AI) in Breast Imaging: A Scientometric Umbrella Review, Ultrasonographic Measurement of Torsional Side Difference in Proximal Humerus Fractures and Humeral Shaft Fractures: Theoretical Background with Technical Notes for Clinical Implementation, Diagnosis and Management in Trauma Surgery, Automatic Detection and Classification of Cardiovascular Disorders Using Phonocardiogram and Convolutional Vision Transformers, AI/ML-Based Medical Image Processing and Analysis, Application of Procalcitonin for the Rapid Diagnosis of, https://doi.org/10.3390/diagnostics12123108, Clinical Prognostic and Predictive Biomarkers, The Genetic and Epigenetic Footprint in Idiopathic Pulmonary Fibrosis and Familial Pulmonary Fibrosis: A State-of-the-Art Review, https://doi.org/10.3390/diagnostics12123107, Molecular Diagnosis of Interstitial Lung Disease, Quantification of Significant Aortic Stenosis by Echocardiography versus Four-Dimensional Cardiac Computed Tomography: A Multi-Modality Imaging Study, https://doi.org/10.3390/diagnostics12123106, Quantitative and Intelligent Analysis of Medical Imaging, Diagnosis and Management of Dysgerminomas with a Brief Summary of Primitive Germ Cell Tumors, https://doi.org/10.3390/diagnostics12123105, Diagnosis and Management of Gynecological Cancers: Volume 2, MDPI Sustainability Foundation: New Look and Nominations for the 2023 Sustainability Awards Now Open, COVID-19 and the Eye: Impact of Pandemic on Clinical, Surgical and Research Activities in Ophthalmology, Retinal Imaging and Systemic Vascular Disease: Recent Advances and Perspective, Diagnostic Imaging and Pathology in Cancer Research, ECB 2023: The 2nd International Electronic Conference on Biomedicines, Diagnosis and Management of Pancreatic Cysts, Artificial Intelligence and Pattern Recognition Methods for the Automatic Detection and Evaluation of Neurological Disorders, Reviews on Artificial Intelligence and Natural Language Processing in Medical Diagnostics. Choi, B. Mourrain, and C.H. https://doi.org/10.3390/s22239440, Shi, Cenwei, Lin Peng, Zhen Zhang, and Tingna Shi. You are accessing a machine-readable page. Liu, M.; Mao, D.; Wang, Z.; Li, L.; Man, W.; Jia, M.; Ren, C.; Zhang, Y. Developing. CVPR2022-Papers-with-Code-Demo | Welcome |Table of Contents Backbone /Dataset NAS Knowledge Distillation / Multimodal Contrastive Learning / Graph Neural Networks / Capsule Network / Image Classification Automatic detection of periodontal compromised teeth in digital panoramic radiographs using faster regional convolutional neural networks. 32, no. An image synthesis model, This study aimed to evaluate the ability of the pix2pix generative adversarial network (GAN) to improve the image quality of low-count dedicated breast positron emission tomography (dbPET). "A Method of Invasive Alien Plant Identification Based on Hyperspectral Images" Agronomy 12, no. Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing pp. Faiz, J.; Nejadi-Koti, H. Demagnetization Fault Indexes in Permanent Magnet Synchronous MotorsAn Overview. XTrain is a cell array containing 270 sequences of varying length with 12 features corresponding to LPC cepstrum coefficients.Y is a categorical vector of labels 1,2,,9. Z. Yu, and W. Wang, Object-space multiphase Implicit functions, ACM Transactions on Graphics (SIGGRAPH 2012), vol. For a proper diagnosis of CVD disease, an inexpensive solution based on phonocardiogram (PCG) signals is proposed. Biomol. 1996-2022 MDPI (Basel, Switzerland) unless otherwise stated. Thirty-Third IAS Annual Meeting (Cat. It is identified using histopathological analysis, but no antibody-specific markers were found, and no universally accepted histological features were defined. Multi-scale assessment of invasive plant species diversity using Pleiades 1A, RapidEye and Landsat-8 data. All for free. permission provided that the original article is clearly cited. Editors select a small number of articles recently published in the journal that they believe will be particularly Hyperspectral data of invasive plants in the wild were used as sample data in this work, and three groups of different results were obtained by different preprocessing methods (FD, SG, and SNV). 2016, 4064-4069, [95] Xia, Zhongpu, Zhao, Dongbin. ; Ding, J.-L.; Wang, J.-Z. This modeling method based on the demagnetization region is also applicable to PMs with different magnetization directions, shapes, and demagnetization types. Automatic detection of periodontal compromised teeth in digital panoramic radiographs using faster regional convolutional neural networks. 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