Training and Testing Texture Similarity Metrics for Structurally Lossless Compression

Learning-Based Multi-UAV Flocking Control With Limited Visual Field and Instinctive Repulsion

Classifying Human Manual Control Behavior Using LSTM Recurrent Neural Networks

New investments in phosphorus research and training are paramount for Brazilian long-term environmental and food security

Shape Sensing of Flexible Robots Based on Deep Learning

Weakly-supervised Learning for Fine-grained Emotion Recognition using Physiological Signals

Efficiency of Double-barrier Magnetic Tunnel Junction-based Digital eNVM Array for Neuro-Inspired Computing

Training Generative Adversarial Networks via Stochastic Nash Games

Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks

Practical Product Development Challenges

Goal Ontology for Personalized Learning and Its Implementation in Child's Health Self-Management Support

A Cost-Sensitive Machine Learning Model With Multitask Learning for Intrusion Detection in IoT

To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration

Efficient Jacobian-Based Inverse Kinematics With Sim-to-Real Transfer of Soft Robots by Learning

Improving Pedestrian Prediction Models with Self-Supervised Continual Learning

Hiding Assistive Robots During Training in Immersive VR Does Not Affect Users’ Motivation, Presence, Embodiment, Performance, Nor Visual Attention

Social-aware Federated Learning: Challenges and Opportunities in Collaborative Data Training

MuCoMiD: A Multitask graph Convolutional Learning Framework for miRNA-Disease Association Prediction

Assessment of Parkinson's Disease Severity from Videos Using Deep Architectures

Secure Logistic Regression for Vertical Federated Learning