Results 211 to 220 of about 29,955 (264)
Evaluating the safety of large language models in healthcare and dentistry: adversarial testing approaches. [PDF]
BDJ OpenUmer F, Shaikh MM, Ur Rahman A.
europepmc +1 more source
Neural Network‐Based Runtime Monitoring and Control for Unknown Nonlinear Systems
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT Real‐time system monitoring and stabilization become especially challenging when the system dynamics are unknown. This article introduces a novel design for monitoring and stabilizing unknown nonlinear systems with measurement noise. The design utilizes a generic modelling framework by decomposing the system into a known tunable linear ...
Jianglin Lan, Xianxian Zhao, Ron Patton
wiley +1 more source
Deconstructing Pilot Contamination Attacks: A Two-Stage Threat Model for MIMO Systems. [PDF]
Sensors (Basel)Farraj A.
europepmc +1 more source
Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño +6 more
wiley +1 more source
Receding Horizon Multi-Agent Deceptive Path Planner. [PDF]
Sensors (Basel)Fang X, Sadler BM, Blum RS.
europepmc +1 more source
Effectiveness Assessment of Underwater Area Cruise Based on the ADC Method
Journal of Field Robotics, EarlyView.ABSTRACT Underwater area surveillance plays a crucial role in upholding national security, safeguarding strategic interests, and mitigating potential threats. Despite its significance, a notable gap persists in the availability of comprehensive models for assessing its effectiveness.
Qingwei Liang +3 more
wiley +1 more source
Data-Efficient Unsupervised Recalibration of Calorimeter Sensor Arrays Using Wasserstein Adversarial Learning. [PDF]
Sensors (Basel)Ali S +5 more
europepmc +1 more source
Responsive Materials, EarlyView.Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source