Understanding and assessing neuropsychiatric disorders by modeling behavior and physiology with multimodal machine learning
Semantic Scene Description for Distributed Simultaneous Localization and Mapping in Communication-Constrained Environments
Towards Optogenetic Feedback Control of Neural Population Dynamics
Securing Cyber-physical Systems by Improving snd Optimizing Measurement of the Electromagnetic Backscattering Side-channel
Modeling, Control, and Fault-tolerant Operation of the Isolated Modular Multilevel DC-DC Converter for MVDC Applications
Machine Learning-Based Structural Health Monitoring of Concrete Structures using Acoustic Signals
Decentralized power flow controlling device with enhanced dynamic grid-support functionality
Understanding and Mitigating Security Risks for Software Supply Chain Customers
Machine Learning Approaches to Predicting Postoperative Hemodynamics after Cardiac Surgeries
Self-Supervised Multimodal Representation Learning for Neuroimaging