Results 171 to 180 of about 59,820 (274)

Wearable exoskeleton robot control using radial basis function‐based fixed‐time terminal sliding mode with prescribed performance

open access: yesAsian Journal of Control, Volume 28, Issue 3, Page 1099-1115, May 2026.
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

Predicting Diabetic Foot Ulcer Outcomes: Machine Learning‐Based Refinement of IWGDF‐Approved Classifications for Outpatient Services

open access: yesEndocrinology, Diabetes &Metabolism, Volume 9, Issue 3, May 2026.
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

Membrane Engineering for Battery Systems: Bridging Design Principles and Frontier Applications

open access: yesENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 3, May 2026.
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

Making Sense of Shoulder Exercise: Measuring the Accuracy of an Artificial Intelligence Model to Classify Shoulder Exercise via Wearable Sensors Among People With and Without Rotator Cuff Tendinopathy

open access: yesEuropean Journal of Sport Science, Volume 26, Issue 5, May 2026.
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

Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network.

open access: yesComput Math Methods Med, 2021
Cai XW, Bao YQ, Hu MF, Liu JB, Zhu JM.
europepmc   +1 more source

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