Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs

A Two-Stage Approach for a Mixed-Integer Economic Dispatch Game in Integrated Electrical and Gas Distribution Systems

Model and Control of R-Soft Inverted Pendulum

Collecting Mementos: A Multimodal Dataset for Context-Sensitive Modeling of Affect and Memory Processing in Responses to Videos

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

Data-driven Abstractions for Verification of Linear Systems

Hybrid Analytical Model for AC Copper Loss Computation of Hairpin Winding

PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles

Dynamic mathematical models of theory of mind for socially assistive robots

A Literature Review on Train Motion Model Calibration

Modeling Pedestrian Tactical and Operational Decisions Under Risk and Uncertainty: A Two-Layer Model Framework

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

Continuous Occupancy Mapping in Dynamic Environments Using Particles

Secure Logistic Regression for Vertical Federated Learning

Hierarchical Model Predictive Control for on-Line High-Speed Railway Delay Management and Train Control in a Dynamic Operations Environment

On the retrieval of forward-scattered waveforms from acoustic reflection and transmission data with the Marchenko equation

Distributed Model-Free Adaptive Predictive Control for Urban Traffic Networks

Curve Tilting With Nonlinear Model Predictive Control for Enhancing Motion Comfort

Characterization, Modeling, and Test of Intermediate State Defects in STT-MRAMs

Data-driven Abstractions with Probabilistic Guarantees for Linear PETC Systems