All Stories

  1. Deep Learning-based Depth Estimation Methods from Monocular Image and Videos: A Comprehensive Survey
  2. LoRa-based outdoor localization and tracking using unsupervised symbolization
  3. Multi-task learning model for agricultural pest detection from crop-plant imagery: A Bayesian approach
  4. Object-level benchmark for deep learning-based detection and classification of weed species
  5. DRC: Chromatic aberration intensity priors for underwater image enhancement
  6. Topology-aware universal adversarial attack on 3D object tracking
  7. An AUC-maximizing classifier for skewed and partially labeled data with an application in clinical prediction modeling
  8. Machine learning-based detection of frost events in wheat plants from infrared thermography
  9. Deep learning based classification of sheep behaviour from accelerometer data with imbalance
  10. A Novel AUC Maximization Imbalanced Learning Approach for Predicting Composite Outcomes in COVID-19 Hospitalized Patients
  11. Machine learning‐based LoRa localisation using multiple received signal features
  12. Transport of pilgrims during Hajj: Evidence from a discrete event simulation study
  13. A survey of image-based computational learning techniques for frost detection in plants
  14. Lambing event detection using deep learning from accelerometer data
  15. MCE-ST: Classifying crop stress using hyperspectral data with a multiscale conformer encoder and spectral-based tokens
  16. Renewable Energy-Based Energy-Efficient Off-Grid Base Stations for Heterogeneous Network
  17. Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation
  18. SC-CAN: Spectral Convolution and Channel Attention Network for Wheat Stress Classification
  19. Deep Network with Score Level Fusion and Inference-Based Transfer Learning to Recognize Leaf Blight and Fruit Rot Diseases of Eggplant
  20. Machine learning-based detection of freezing events using infrared thermography
  21. Insect detection from imagery using YOLOv3-based adaptive feature fusion convolution network
  22. Adversary Distillation for One-Shot Attacks on 3D Target Tracking
  23. Weed recognition using deep learning techniques on class-imbalanced imagery
  24. A reinforcement learning-based approach for imputing missing data
  25. Erratum to “Progressive conditional GAN-based augmentation for 3D object recognition” [Neurocomputing 460 (2021) 20–30]
  26. Integrated generalized zero-shot learning for fine-grained classification
  27. Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning
  28. MSGANet-RAV: A multiscale guided attention network for artery-vein segmentation and classification from optic disc and retinal images
  29. Anomaly detection in a forensic timeline with deep autoencoders
  30. Adversarial point cloud perturbations against 3D object detection in autonomous driving systems
  31. Real time surveillance for low resolution and limited data scenarios: An image set classification approach
  32. Progressive conditional GAN-based augmentation for 3D object recognition
  33. Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation
  34. Machine learning risk prediction model for acute coronary syndrome and death from use of non-steroidal anti-inflammatory drugs in administrative data
  35. Imputation of missing data with class imbalance using conditional generative adversarial networks
  36. Anomaly Detection in Operating System Logs with Deep Learning-Based Sentiment Analysis
  37. PD-Net: Point Dropping Network for Flexible Adversarial Example Generation with $L_{0}$ Regularization
  38. CurveNet: Curvature-Based Multitask Learning Deep Networks for 3D Object Recognition
  39. A survey of deep learning techniques for weed detection from images
  40. Adversarial Network With Multiple Classifiers for Open Set Domain Adaptation
  41. Atrous convolutional feature network for weakly supervised semantic segmentation
  42. Modelling Mass Crowd Using Discrete Event Simulation: A Case Study of Integrated Tawaf and Sayee Rituals During Hajj
  43. Robust Image Classification Using a Low-Pass Activation Function and DCT Augmentation
  44. Text to Image Synthesis for Improved Image Captioning
  45. Deep Boltzmann machine for corrosion classification using eddy current pulsed thermography
  46. A High-Performance Spectral-Spatial Residual Network for Hyperspectral Image Classification with Small Training Data
  47. Diffusion Geometry Derived Keypoints and Local Descriptors for 3D Deformable Shape Analysis
  48. Performance Evaluation of Anomaly Detection in Imbalanced System Log Data
  49. A review of the uses of virtual reality in engineering education
  50. Multi-Task Learning for Acoustic Event Detection Using Event and Frame Position Information
  51. Automatic Event Log Abstraction to Support Forensic Investigation
  52. Automatic Hierarchical Classification of Kelps Using Deep Residual Features
  53. 3D Object Classification Using a Volumetric Deep Neural Network: An Efficient Octree Guided Auxiliary Learning Approach
  54. Learning Latent Global Network for Skeleton-Based Action Prediction
  55. RCNN for Region of Interest Detection in Whole Slide Images
  56. ResFeats: Residual network based features for underwater image classification
  57. Scale-Aware Feature Network for Weakly Supervised Semantic Segmentation
  58. Sentiment Analysis in a Forensic Timeline With Deep Learning
  59. Sound Event Detection Using Multiple Optimized Kernels
  60. Bi-SAN-CAP: Bi-Directional Self-Attention for Image Captioning
  61. Deep Fusion Net for Coral Classification in Fluorescence and Reflectance Images
  62. Improving Follicular Lymphoma Identification using the Class of Interest for Transfer Learning
  63. A Comprehensive Survey of Deep Learning for Image Captioning
  64. Automatic detection of Western rock lobster using synthetic data
  65. Deep learning-based 3D local feature descriptor from Mercator projections
  66. Coral Classification Using DenseNet and Cross-modality Transfer Learning
  67. Language Modeling through Long-Term Memory Network
  68. Feature selection and transformation by machine learning reduce variable numbers and improve prediction for heart failure readmission or death
  69. A survey on forensic investigation of operating system logs
  70. Auxiliary Classifier Generative Adversarial Network With Soft Labels in Imbalanced Acoustic Event Detection
  71. An Improved Approach to Weakly Supervised Semantic Segmentation
  72. A Survey: Neural Network-Based Deep Learning for Acoustic Event Detection
  73. Automatic Graph-Based Clustering for Security Logs
  74. Machine learning‐based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics
  75. Enhancing Semantic Word Representations by Embedding Deep Word Relationships
  76. Deep Image Representations for Coral Image Classification
  77. NormalNet: A voxel-based CNN for 3D object classification and retrieval
  78. Attention-Based Image Captioning Using DenseNet Features
  79. Body Detection in Spectator Crowd Images Using Partial Heads
  80. Deep Learning for Marine Species Recognition
  81. Deep Learning for Scene Understanding
  82. Direct Image to Point Cloud Descriptors Matching for 6-DOF Camera Localization in Dense 3D Point Clouds
  83. Enhanced Transfer Learning with ImageNet Trained Classification Layer
  84. Global Regularizer and Temporal-Aware Cross-Entropy for Skeleton-Based Early Action Recognition
  85. Learning-Based Confidence Estimation for Multi-modal Classifier Fusion
  86. MON: Multiple Output Neurons
  87. Review of Modelling and Simulating Crowds at Mass Gathering Events: Hajj as a Case Study
  88. WNet: Joint Multiple Head Detection and Head Pose Estimation from a Spectator Crowd Image
  89. Generalized Joint Sparse Representation for Multimodal Biometric Fusion of Heterogeneous Features
  90. Acoustic Scene Classification Using Joint Time-Frequency Image-Based Feature Representations
  91. Spectrotemporal Analysis Using Local Binary Pattern Variants for Acoustic Scene Classification
  92. A Multi-Modal, Discriminative and Spatially Invariant CNN for RGB-D Object Labeling
  93. Exploiting layerwise convexity of rectifier networks with sign constrained weights
  94. Random forest classification based acoustic event detection utilizing contextual-information and bottleneck features
  95. Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data
  96. Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction
  97. Local Binary Pattern with Random Forest for Acoustic Scene Classification
  98. Learning Clip Representations for Skeleton-Based 3D Action Recognition
  99. Classification of Corals in Reflectance and Fluorescence Images Using Convolutional Neural Network Representations
  100. Confidence Based Acoustic Event Detection
  101. Machine learning in heart failure
  102. Consumer Perceptions in the Adoption of the Electronic Health Records in Australia: A Pilot Study
  103. Identity Adaptation for Person Re-Identification
  104. Scale space clustering evolution for salient region detection on 3D deformable shapes
  105. Resfeats: Residual network based features for image classification
  106. Frame-Wise Dynamic Threshold Based Polyphonic Acoustic Event Detection
  107. A New Representation of Skeleton Sequences for 3D Action Recognition
  108. Efficient Image Set Classification Using Linear Regression Based Image Reconstruction
  109. Random forest classification based acoustic event detection
  110. Random forest regression based acoustic event detection with bottleneck features
  111. A Novel Fusion Method for Forward-Looking Sonar Image Mosaic
  112. Discriminative feature learning and region consistency activation for robust scene labeling
  113. Graph clustering and anomaly detection of access control log for forensic purposes
  114. RGB-D Object Recognition and Grasp Detection Using Hierarchical Cascaded Forests
  115. SkeletonNet: Mining Deep Part Features for 3-D Action Recognition
  116. A usability evaluation of Neuromender's upper limb game-based rehabilitation system for stroke survivors
  117. Enhanced LBP texture features from time frequency representations for acoustic scene classification
  118. A Joint Deep Boltzmann Machine (jDBM) Model for Person Identification Using Mobile Phone Data
  119. Multi-level Search of a Knowledgebase for Semantic Parsing
  120. Reinforced Memory Network for Question Answering
  121. Audio-visual biometric recognition via joint sparse representations
  122. EI3D: Expression-invariant 3D face recognition based on feature and shape matching
  123. Automatic annotation of coral reefs using deep learning
  124. Coral classification with hybrid feature representations
  125. Forward-looking sonar image registration using polar transform
  126. A Discriminative Representation of Convolutional Features for Indoor Scene Recognition
  127. Simultaneous dense scene reconstruction and object labeling
  128. Automatic Shadow Detection and Removal from a Single Image
  129. Heat propagation contours for 3D non-rigid shape analysis
  130. Binary Descriptor Based on Heat Diffusion for Non-rigid Shape Analysis
  131. Deep Boltzmann Machines for i-Vector Based Audio-Visual Person Identification
  132. Human Interaction Prediction Using Deep Temporal Features
  133. Contractive Rectifier Networks for Nonlinear Maximum Margin Classification
  134. Unsupervised segmentation of unknown objects in complex environments
  135. A deep neural network for audio-visual person recognition
  136. Discriminative feature learning for efficient RGB-D object recognition
  137. Outdoor scene labelling with learned features and region consistency activation
  138. Integrating Geometrical Context for Semantic Labeling of Indoor Scenes using RGBD Images
  139. Separating objects and clutter in indoor scenes
  140. Efficient RGB-D object categorization using cascaded ensembles of randomized decision trees
  141. A Comprehensive Performance Evaluation of 3D Local Feature Descriptors
  142. An Integrated Framework for 3-D Modeling, Object Detection, and Pose Estimation From Point-Clouds
  143. A novel local surface feature for 3D object recognition under clutter and occlusion
  144. A confidence-based late fusion framework for audio-visual biometric identification
  145. Heterogeneous Multi-column ConvNets with a Fusion Framework for Object Recognition
  146. Performance Evaluation of 3D Local Feature Descriptors
  147. Sign Constrained Rectifier Networks with Applications to Pattern Decompositions
  148. 3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey
  149. A model-free approach for the segmentation of unknown objects
  150. An Accurate and Robust Range Image Registration Algorithm for 3D Object Modeling
  151. Automatic Feature Learning for Robust Shadow Detection
  152. Quantitative Error Analysis of Bilateral Filtering
  153. Geometry Driven Semantic Labeling of Indoor Scenes
  154. Model-Free Segmentation and Grasp Selection of Unknown Stacked Objects
  155. An efficient reliability estimation technique for audio-visual person identification
  156. Integrating shape and color cues for textured 3D object recognition
  157. Real-time pose estimation of rigid objects using RGB-D imagery
  158. Rotational Projection Statistics for 3D Local Surface Description and Object Recognition
  159. Linear Regression-based Classifier for audio visual person identification
  160. RoPS: A local feature descriptor for 3D rigid objects based on rotational projection statistics
  161. 3D free form object recognition using rotational projection statistics
  162. A low cost 3D markerless system for the reconstruction of athletic techniques
  163. Sliding-Window Designs for Vertex-Based Shape Coding
  164. Geometric distortion measurement for shape coding
  165. Robust pose invariant shape-based hand recognition
  166. Spatial shape error concealment utilising image texture
  167. Bezier curve-based generic shape encoder
  168. Image Dependent Spatial Shape Error Concealment for Multiple Shapes
  169. Distortion measurement using arc-length-parameterisation within a vertex-based shape coding framework
  170. Dynamic Bezier curves for variable rate-distortion
  171. Image-dependent spatial shape-error concealment
  172. Quasi-Bezier curves integrating localised information
  173. New Dynamic Enhancements to the Vertex-Based Rate-Distortion Optimal Shape Coding Framework
  174. Fast Distortion Measurement Using Chord-Length Parameterization Within the Vertex-Based Rate-Distortion Optimal Shape Coding Framework
  175. Bezier Curve-Based Character Descriptor Considering Shape Information
  176. Variable Width Admissible Control Point Band for Vertex Based Operational-Rate-Distortion Optimal Shape Coding Algorithms
  177. Accurate distortion measurement for generic shape coding
  178. Dynamic Sliding Window Width Selection Strategies for Rate-Distortion Optimal Vertex-Based Shape Coding Algorithms
  179. A Novel Half-Way Shifting Bezier Curve Model
  180. A dynamic Bezier curve model
  181. An Improved Shape Descriptor Using Bezier Curves
  182. Video Coding for Mobile Communications
  183. Enhanced Bezier Curve Models Incorporating Local Information