Digital Video Acquisition and Optimization Techniques for Effective Animal Tracking in Behavioral Ecotoxicology. [PDF]
Henry J, Bai Y, Wlodkowic D.
europepmc +1 more source
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
GPU optimization techniques to accelerate optiGAN-a particle simulation GAN. [PDF]
Srikanth A, Trigila C, Roncali E.
europepmc +1 more source
Design of a Miniaturized Wide-Angle Fisheye Lens Based on Deep Learning and Optimization Techniques. [PDF]
Tien CL, Chiang CY, Sun WS.
europepmc +1 more source
Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling +4 more
wiley +1 more source
Enhancing Sealing Performance Predictions: A Comprehensive Study of XGBoost and Polynomial Regression Models with Advanced Optimization Techniques. [PDF]
Zhou W, Xie Z.
europepmc +1 more source
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 more
wiley +1 more source
Retraction notice to "Enhancing lung cancer detection through hybrid features and machine learning hyperparameters optimization techniques" [Heliyon 10 (2024) e26192]. [PDF]
Li L +10 more
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Comprehensive framework for smart residential demand side management with electric vehicle integration and advanced optimization techniques. [PDF]
Panda S +8 more
europepmc +1 more source

