Results 201 to 210 of about 58,412 (266)

Two‐Dimensional Materials for Flexible Neuromorphic Devices: Materials, Engineering Strategies, Architectures, and Emerging Applications

Advanced Electronic Materials, EarlyView.
This review explains how atomically thin materials can combine information storage, processing, and mechanical flexibility in neuromorphic devices. It connects material properties and engineering strategies with device architecture, synaptic behavior, and performance under bending.
Junzhe Tang, Letian Dai
wiley   +1 more source

The Utilization of a Gait Pattern Classification System to Investigate the Effects of Ankle-Foot Orthoses on Gait in Children with Cerebral Palsy. [PDF]

Children (Basel)
Goihl T, Rusaw DF, Brændvik SM, Roeleveld K.   +3 more
europepmc   +1 more source

Solid particles focusing, orienting, and de‐focusing in planar Poiseuille flow

AIChE Journal, EarlyView.
Abstract Three‐dimensional, time‐dependent lattice‐Boltzmann simulations of neutrally buoyant particles in planar Poiseuille flow have been performed. The particles are spherical or cylindrical (the latter with a length over diameter ratios in the range 1/3 to 2) and have volume fraction ranging from virtually zero (one particle) to 0.15. The channel's
J. J. Derksen
wiley   +1 more source

Kinematic Strategies of Dragonfly Free-Fall Recovery from an Asymmetric Body Roll. [PDF]

Insects
Shao L, Li H, Zhang J, Wang L.
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

SecurePose: Automated face blurring and human movement kinematics extraction from videos recorded in clinical settings. [PDF]

Sci Rep
Bajpai R, Aravamuthan B.
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Prediction of Center-of-Mass Kinematics of Sensopro Exercises with Neural Network Models. [PDF]

Sensors (Basel)
Hegi H, Single M, Nef T, Kredel R.
europepmc   +1 more source

Fluorescent Hydrogel‐Based Strain Sensor With Machine Learning‐Augmented Performance

Advanced Intelligent Discovery, EarlyView.
Fluorescent hydrogel strain sensor based on carbon quantum dots enabling optical readout of deformation through strain‐dependent emission changes, coupled with Random Forest analysis to capture nonlinear fluorescence‐concentration relationships and identify optimal sensing conditions. Hydrogels are ideal matrices for bio‐integrated wearable sensors due
Tailai Chen, Tianlong Liu, Chao Lu, Rimsha Malik, Jin Zhang   +4 more
wiley   +1 more source

Hybrid Analytical and Simulation-Based Approach for Workspace Verification of a Pneumatic Upper Limb Exoskeleton. [PDF]

Sensors (Basel)
Mayorov N, Teselkin D, Dedov D, Obukhov A.   +3 more
europepmc   +1 more source