High-Entropy Engineering Enhances Fiber-Based Supercapacitors for Wearable Devices
High-entropy doping enhances fiber-based supercapacitors' energy density and stability. HE-MO@GF fibers exhibit improved conductivity, kinetics, and Faradaic reversibility. Innovative fibers…
Microconfined Assembly Enhances Liquid Metal Electrodes for Wearable Electronics
New method enhances liquid metal electrodes' precision and stability. m‐SLEs offer high stretchability and mechanical stability for wearable tech. Applications…
Development of Flexure-Based Supernumerary Robotic Finger for Hand Function Augmentation
FBSF increases hand workspace by approximately 29.72%. User-driven control via electromyographic signals ensures efficient operation. Performance tests confirm a maximum…
Innovative Variable-Stiffness Tail Enhances Robotic Fish Swimming Efficiency
This study details a novel tail for robotic fish with adjustable stiffness. The tail uses a layer-jamming structure for online…
Convolution-Enhanced Vision Transformer Method Enhances Lower Limb Exoskeleton Locomotion Mode Recognition
Conv‐ViT method enhances recognition of locomotion modes in lower limb exoskeletons. Achieved 98.87% and 96.74% accuracy for steady modes and…
Advanced Simulation Techniques Enable Adaptive Locomotion for Magnetic Soft Millirobots
New simulation environment for adaptive magnetic soft millirobots introduced. Bayesian optimization and Gaussian processes enhance real-world application. Kullback-Leibler divergence method…
Advanced Techniques for Securing B5G Networks from FL Attacks
New framework tackles security in Beyond 5G (B5G) networks. Utilizes Dimensional Reduction (DR) and Explainable AI (XAI) algorithms. Enhances attack…
Wearable Aptalyzer: Innovating In Vivo Monitoring of Glucose and Lactate
The Wearable Aptalyzer monitors glucose and lactate in real-time. Combines hydrogel microneedles and electrochemical aptamer-based biosensors. Shows promise for personalized…
Electric Vehicle Load Forecasting with Federated Learning and Data Privacy Considerations
EV load forecasting is critical for grid stability and energy management. The proposed algorithm uses CNNs with a dual attention…
Innovative Approach in Depth Estimation: MFE-MVSNet Unveiled
MFE-MVSNet enhances depth estimation with multi-scale feature extraction. Experiments show 33% improvement over MVSNet in overall score on DTU dataset.…