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List of articles in category MTech Deep Learning Projects
No. Project Titles Abstract
101. Neural Processes for Modeling Personalized Vital-Sign Time-Series Data: Data Pre-processing Abstract
102. Estimating People Flows and Counting People Abstract
103. Continuous Deep Stereo Adaptation Abstract
104. Cross-Domain Semantic Segmentation Model with Confidence-and-Refinement Adaptation Abstract
105. Estimation of Confidence Using Auxiliary Models Abstract
106. An Anchor Free Object Detector for Point Cloud, CenterNet3D Abstract
107. Knowledge Graph-Based Recommendations for Biomedical Relation Extraction Abstract
108. For crack detection, BARNet stands for Boundary Aware Refinement Network. Abstract
109. Deep neural networks are used to automatically detect aortic valve events from cardiac signals from an epicardially placed accelerometer. Abstract
110. Deep learning is used to automatically determine the severity of Pectus Excavatum from CT images. Abstract
111. 3D Unsupervised Partitioning and Representation Learning Using the AutoAtlas Neural Network Abstract
112. Bone Age Assessment Using Attention-Guided Discriminative Region Localization and Label Distribution Learning Abstract
113. Dataset reasoning, analysis, and modeling focus Abstract
114. Networks of Attention for Person Retrieval Abstract
115. Deep Architectures are used to evaluate the severity of Parkinson's disease from videos. Abstract
116. Colonoscopy Artificial Intelligence: Past, Present, and Future Abstract
117. Analysis of Cross-Domain Datasets Classifier Training on Synthetic Data Abstract
118. An Explicit Transformer-Based Deep Learning Model for Heart Failure Incident Prediction Abstract
119. A Patch Label Inference Network with Iterative Optimization for Automatic Pavement Distress Detection Abstract
120. An End-to-End Multi-Task Learning Model with Edge Refinement and Geometric Deformation for Detecting Driveable Roads Abstract
121. Model Design, Experimental Frameworks, Challenges, and Research Needs: An Empirical Review of Deep Learning Frameworks for Change Detection Abstract
122. Evaluation of Autonomous Vehicles Under Adversary Conditions in Lane-Change Situations Abstract
123. AdaPool: A Model-Free Deep Reinforcement Learning Framework for Diurnal Adaptive Fleet Management with Change Point Detection Abstract
124. Deep neural network-based acoustic screening for obstructive sleep apnea in residential settings Abstract
125. A Time-Series Feature-Based Recursive Classification Model to Maximize Treatment Approaches for Improving COVID-19 Patients' Outcomes and Resource Allocations Abstract
126. A Self-Supervised Gait Encoding Approach for 3D Skeleton-Based Person Re-Identification with Locality Awareness Abstract
127. Traffic Prediction Using Multi-Stream Feature Fusion Abstract
128. Using structural MRI images, a multi-stream convolutional neural network can classify progressive MCI in Alzheimer's disease. Abstract
129. A Multi-Scale Attributes Attention Model for Identification of Transport Modes Abstract
130. A Multi-Sensor Traffic Flow Forecasting Framework for Temporal Attention Based on Graphs Abstract
131. A Bidirectional Unidirectional Graph Convolutional Stacked LSTM Neural Network for Metro Ridership Prediction Abstract
132. A Multi-hop Ride-sharing Distributed Model-Free Algorithm Using Deep Reinforcement Learning Abstract

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