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

Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs

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

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

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

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

Probabilistic Risk Metric for Highway Driving Leveraging Multi-Modal Trajectory Predictions

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

Streaming Graph Embeddings via Incremental Neighborhood Sketching

Stability and Accuracy Analysis of a Distributed Digital Real-Time Co-simulation Infrastructure

An experimental validation of the polynomial curvature model: identification and optimal control of a soft underwater tentacle

Robust Locomotion Exploiting Multiple Balance Strategies: An Observer-Based Cascaded Model Predictive Control Approach

Data-driven Abstractions with Probabilistic Guarantees for Linear PETC Systems