Results 161 to 170 of about 59,339 (255)

Physiological Responses to Virtual Reality‐Based Stress Regulation and Relaxation Interventions: A Systematic Review

Stress and Health, Volume 42, Issue 2, April 2026.
ABSTRACT Physiological markers are increasingly used to monitor individuals undergoing Virtual Reality (VR) stress interventions. However, several challenges arise when employing these markers to assess the impact of VR stress interventions. This systematic review synthesises and critically discusses the literature on VR stress interventions across ...
Lisanne M. Robbemond, Matthijs L. Noordzij, Catheleine M. G. van Driel, Wim Veling   +3 more
wiley   +1 more source

Global Detection and Morphological Characterization of Seamounts With Weakly Supervised Deep Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Seamounts are submarine volcanic features that record the tectonic and magmatic evolution of Earth's interior, yet their global distribution remains poorly resolved due to sparse high‐resolution bathymetric coverage. We present a weakly supervised deep learning framework that integrates gravity and bathymetric data to enable global‐scale ...
Zhengfa Bi, Xinming Wu, Xiaohua Xu, Nori Nakata   +3 more
wiley   +1 more source

High-sensitivity dual-band microstrip sensor for oil-water mixture analysis with RBF neural network optimization. [PDF]

Sci Rep
Dehkalani FV, Hayati M, Horri A, Tavakoli MB.   +3 more
europepmc   +1 more source

Computationally and Memory Efficient Graph Neural Network for Emulating Storm Surge Inundation State Over Extended Geospatial Domains

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Data‐driven emulation of storm surges has emerged as a valuable tool for supporting regional coastal risk assessment. Surrogate models for such applications are developed using data sets of surge predictions for synthetic storms across a large number of locations, corresponding to the nodes of the utilized numerical model used. Recent work has
P. Toofani Movaghar, A. A. Taflandis, N. C. Nadal‐Caraballo, J. Zhang   +3 more
wiley   +1 more source

Tracking control of industrial manipulator based on adaptive RBF neural network with local model approximation. [PDF]

Sci Rep
Han G, Huang C, Xiao W, Peng Y, Chen X, Mei Z.   +5 more
europepmc   +1 more source

MMLTC: A Novel Tolerance‐Based Clustering Framework for Multimodal Sentiment and Harmful Meme Classification in Multilingual Settings

Computational Intelligence, Volume 42, Issue 2, April 2026.
ABSTRACT This work introduces a novel Tolerance‐Based Clustering Framework (MMLTC) framework for affective analytics of multimodal/multilingual content in social media. A key feature of the MMLTC framework is its ability to overcome limitations of prior tolerance‐based classifiers through the construction of label specific pure tolerance classes ...
Jaher Hassan Chowdhury, Sheela Ramanna
wiley   +1 more source

Ultra-precision control of dual-axis scanning mechanism based on PSO-RBF neural network. [PDF]

Sci Rep
Fan J, Xu B, Zhang D, Cui J.
europepmc   +1 more source

Tensor Hypercontraction Error Correction Using Regression

Journal of Computational Chemistry, Volume 47, Issue 8, 30 March 2026.
The combination of tensor hypercontraction with machine learning bridges the gap between accuracy and computational efficiency through scaling reduction. ABSTRACT Wavefunction‐based quantum methods are some of the most accurate tools for predicting and analyzing the electronic structure of molecules, in particular for accounting for dynamical electron ...
Ishna Satyarth, Eric C. Larson, Devin A. Matthews   +2 more
wiley   +1 more source

Intelligent RBF neural network-based control for dynamic stability and power control in renewable-integrated microgrids. [PDF]

Sci Rep
Chiluka V, Sekhar GGR, Reddy CR, Rao KVG, Kumar MK, Ibrahim MA, Alanazi A.   +6 more
europepmc   +1 more source