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