Virtual tactile feedback technology based on microcurrent stimulation: current status, challenges and future prospects. [PDF]
Xiong Q +7 more
europepmc +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
Evaluation of Different Controllers for Sensing-Based Movement Intention Estimation and Safe Tracking in a Simulated LSTM Network-Based Elbow Exoskeleton Robot. [PDF]
Shakeriaski F, Mohammadian M.
europepmc +1 more source
GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li +9 more
wiley +1 more source
Continuous dynamic microforce reconstruction using electrical stimulation for remote pulse diagnosis. [PDF]
Zhao X, Song Y, Shi B, Fan Y.
europepmc +1 more source
Slip‐Adaptive Neural Control of Gecko‐Inspired Adhesive Robots
This study introduces a neural adhesion controller to improve the stability of gecko‐inspired climbing robots. By integrating an echo state network and a multilayer perceptron, the system utilizes joint torque feedback to accurately estimate adhesion in both normal and shear directions and predict slips. This enables effective recovery from slip events,
Donghao Shao +3 more
wiley +1 more source
Enhanced power sharing and voltage regulation for islanded nano-satellite DC microgrids in spinning flight scenarios. [PDF]
Louassaa K +6 more
europepmc +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Cellular Signal Detection by Hydrogenated Amorphous Silicon Photosensitive Chip with Electroexcitation. [PDF]
Hou F +5 more
europepmc +1 more source
Abstract This study analyzes a participatory project to develop peer support services for people with serious mental illnesses (SMIs) in China. Drawing on interviews with psychiatrists, social workers, service users, and a family caregiver, it examines the conditions, challenges, facilitators, and outcomes of participation in a paternalistic context ...
Zhiying Ma +6 more
wiley +1 more source

