Results 121 to 130 of about 35,500 (242)
Cortical responses to balance perturbations persist without active postural control
The Journal of Physiology, EarlyView.Abstract figure legend A robotic balance simulator was used to test whether cortical responses to balance perturbations are contingent on active balance control or instead reflect the detection of unexpected motion. Participants experienced identical support‐surface rotations (toes‐up and toes‐down) while actively controlling balance or while being ...
Daphne N. R. Jansen +3 more
wiley +1 more source
Autonomy for MRI Field Cameras: Synchronization, Self‐Calibration, and Sequence Detection
Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 485-498, July 2026.ABSTRACT Purpose This work aims to provide a workflow for operating NMR field probes in MR scanners independently of pulse programming, scanner TTL trigger pulses and dedicated calibration sequences. Methods An independent timing system and limited prior knowledge about relative probe positions enable synchronous field measurement, probe position ...
Oskar Björkqvist, Klaas P. Pruessmann
wiley +1 more source
Applied AI Letters, Volume 7, Issue 2, June 2026.DepthPark is a cost‐effective indoor parking management system that uses monocular cameras, two fixed cameras, and one mobile camera per parking lane, together with deep learning. By combining license plate recognition, parking‐slot classification, and single‐frame depth estimation, the system enables real‐time occupancy monitoring and parking ...
Lakshay Naresh Ramchandani +1 more
wiley +1 more source
Symbol‐Level GRAND‐Assisted Detection for Polar‐Coded Spatial Modulation in MIMO Systems
International Journal of Communication Systems, Volume 39, Issue 7, 10 May 2026.This research presents an integrated polar‐coded spatial modulation (PCSM) transceiver scheme for MIMO transmission over Rayleigh fading channels. The proposed architecture employs linear spatial signal processing for antenna and symbol estimation, followed by symbol‐level guessing random additive noise decoding (symbol‐level GRAND)–assisted detection ...
Abhilasha Gautam +2 more
wiley +1 more source
Experimental High‐Throughput Electrochemistry
ChemElectroChem, Volume 13, Issue 9, 5 May 2026.This review highlights experimental high‐throughput electrochemistry as a powerful approach to accelerate electrochemical research. Key technologies such as automated platforms, microelectrode arrays, and machine learning‐based optimization are discussed, with a focus on applications in electrocatalysis, battery research, and electrosynthesis ...
Jens Noack
wiley +1 more source
Computer Applications in Engineering Education, Volume 34, Issue 3, May 2026.ABSTRACT Massive Open Online Courses (MOOCs) have established a new paradigm in education, enabling asynchronous, remote learning. Although MOOCs offer diverse educational content to students, comprehensive and realistic education requires hands‐on training.
Manuel J. Gomez +6 more
wiley +1 more source
Computer Applications in Engineering Education, Volume 34, Issue 3, May 2026.ABSTRACT The transition from high‐level programming to assembly language constitutes a well‐documented pedagogical bottleneck in computer engineering curricula, particularly in large‐cohort laboratory settings where individualized scaffolding cannot scale.
Federico Garcia Crespi
wiley +1 more source
Accelerated‐USE: A Benchmark Framework for GPU‐Driven Graph Neural Network Training
Concurrency and Computation: Practice and Experience, Volume 38, Issue 9, May 2026.ABSTRACT Graph processing is used in many domains to extract knowledge from real‐world data. With the rise of deep neural networks and scaled compute infrastructure in artificial intelligence (AI), specialized techniques emerged to leverage graphs in applications such as recommendation systems and social networks.
Lucas de Angelo Martins Ribeiro +5 more
wiley +1 more source
Optimization and Benchmarking of Lightweight Neural Networks for Efficient Embedded AI Deployment
Engineering Reports, Volume 8, Issue 5, May 2026.A hardware‐aware optimization and benchmarking framework for lightweight neural networks is presented for deployment on heterogeneous embedded platforms including CPU, GPU, TPU, and MCU architectures. Model compression techniques such as quantization, pruning, knowledge distillation, and mixed‐precision computation reduce inference latency, memory ...
Vidapankal Mohammad Fridous +4 more
wiley +1 more source
Reprogrammable All‐Photonic Molecular Logic With Ln3+ Luminescent Hybrids in Solid State
Laser &Photonics Reviews, Volume 20, Issue 9, 6 May 2026.Mario P. de‐Saralegui et al. report an Eu3⁺/Tb3⁺‐doped organic–inorganic hybrid material that enables multiple reprogrammable logic operations using only physical stimuli. Additionally, this solid‐state, all‐photonic platform represents the first example in the literature performing reversible Feynman logic operations, marking a major step toward ...
Mario P. de‐Saralegui +4 more
wiley +1 more source