Human Merging Behavior in a Coupled Driving Simulator: How Do We Resolve Conflicts?

ROM-FOM Interface Optimization for Efficient Thermomechanical Simulations of Electronic Components

Reliable and Energy-efficient Diabetic Retinopathy Screening using Memristor-based Neural Networks

Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs

Classifying Human Manual Control Behavior Using LSTM Recurrent Neural Networks

Combinatorial Nonnegative Matrix-Tensor Factorization for Hyperspectral Unmixing Using a General ℓ q Norm Regularization

A Flow Graph-Based Scalable Critical Branch Identification Approach for AC State Estimation Under Load Redistribution Attacks

A General Hierarchical Control System to Model ACC Systems: An Empirical Study

Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis

Modeling SAR Observables by Combining a Crop-Growth Model With Machine Learning

Single module identifiability in linear dynamic networks with partial excitation and measurement

Improving Pedestrian Prediction Models with Self-Supervised Continual Learning

Estimating Single-Epoch Integrated Atmospheric Refractivity from InSAR for Assimilation in Numerical Weather Models

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

Data-Driven Stability Verification of Homogeneous Nonlinear Systems with Unknown Dynamics

Secure Logistic Regression for Vertical Federated Learning

Dynamic Anomaly Detection with High-fidelity Simulators: A Convex Optimization Approach

Distributed Model-Free Adaptive Predictive Control for Urban Traffic Networks

Nessy: A Neuro-Symbolic System for Label Noise Reduction

Unraveling Gap Selection Process during Discretionary Lane Changing by Vehicle Class