Results 171 to 180 of about 59,820 (274)
Abstract This paper tackles the problem of robust and accurate fixed‐time tracking in human–robot interaction and deals with uncertainties. This work introduces a control approach for a wearable exoskeleton designed specifically for rehabilitation tasks.
Mahmoud Abdallah +4 more
wiley +1 more source
Tracking control of industrial manipulator based on adaptive RBF neural network with local model approximation. [PDF]
Han G +5 more
europepmc +1 more source
Six IWGDF‐approved diabetic foot ulcer classification systems were compared using machine‐learning models. SINBAD and UTWCS showed the strongest prediction of poor outcomes, while a modified WIFI system using simplified wound‐depth grading further improved predictive performance in outpatient care. ABSTRACT Introduction This study aimed to validate and
Farideh Mostafavi +5 more
wiley +1 more source
Ultra-precision control of dual-axis scanning mechanism based on PSO-RBF neural network. [PDF]
Fan J, Xu B, Zhang D, Cui J.
europepmc +1 more source
Membrane Engineering for Battery Systems: Bridging Design Principles and Frontier Applications
The review emphasizes membrane separators' role in battery performance and safety, covering redox flow, lithium‐ion, and solid‐state batteries. It reviews advances in membrane materials (e.g., polymer electrolytes, hybrid composites) and ion transport mechanisms, while addressing challenges like dendrite growth and crossover losses.
Xiaoqun Zhou +3 more
wiley +1 more source
RBF Neural Network-Aided Robust Adaptive GNSS/INS Integrated Navigation Algorithm in Urban Environments. [PDF]
Wang J +5 more
europepmc +1 more source
ABSTRACT This study aimed to compare the accuracy of machine learning classification for three commonly prescribed shoulder exercises in people with and without rotator cuff tendinopathy. Eighteen participants with rotator cuff tendinopathy (mean age 54.2, SD 13.2; 50% female), followed by eighteen matched controls completed a laboratory‐based shoulder
Josh Naunton +7 more
wiley +1 more source
Intelligent RBF neural network-based control for dynamic stability and power control in renewable-integrated microgrids. [PDF]
Chiluka V +6 more
europepmc +1 more source
Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network.
Cai XW, Bao YQ, Hu MF, Liu JB, Zhu JM.
europepmc +1 more source

