Results 81 to 90 of about 2,043,515 (147)

MXenes for Boosting Potassium Ion Storage: Structure‐Property Relationships, Interface Science, Microscopic Mechanisms, and Application Perspectives

Carbon Neutralization, Volume 5, Issue 6, November 2026.
MXene‐based potassium‐ion battery anodes are mapped by linking synthesis, surface chemistry, heterostructure design, and practical evaluation. Pristine MXenes and composites with carbon, oxides, sulfides, selenides, tellurides, and alloying phases are compared, while intercalation, pseudocapacitive, conversion/alloying, built‐in‐field, and trapping ...
Haohao Ding, Lingxia Fan, Lize Zhang, Xinghui Sun, Hongwei Bi, Aruuhan Bayaguud, Yelong Zhang   +6 more
wiley   +1 more source

Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy [PDF]

, 2019
© 2019 Elsevier B.V. Multiscale inherent fuzzy entropy is an objective measurement of electroencephalography (EEG) complexity, reflecting the habituation of brain systems.
Hussain, FK, Cao, Z., Al-Jumaily, A, Ding, W, Al Jumaily, A., Wang, Y.K., Ding, W., Cao, Z, Lin, C.T., Hussain, F.K., Wang, YK, Lin, CT   +11 more
core   +1 more source

Jointly Optimized Detection‐Tracking Framework With Deformable Feature Modeling and Geometry‐Aware Association for Real‐Time Worker Monitoring in Power Grid Construction Environments

Engineering Reports, Volume 8, Issue 11, November 2026.
This study presents YOLOv8‐ES + DeepSORT‐GE, a jointly optimized detection‐tracking framework integrating deformable feature modeling and geometry‐aware association, achieving 73.6% fewer identity switches and real‐time worker monitoring in power grid construction environments. ABSTRACT Continuous worker localization and identity‐consistent tracking at
Lingwen Meng, Jintong Ma, Siqi Guo, Guanghui Xi, Siwu Yu   +4 more
wiley   +1 more source

A Novel Microwave Treatment for Sleep Disorders and Classification of Sleep Stages Using Multi-Scale Entropy

, 2020
The aim of this study was to develop an integrated system of non-contact sleep stage detection and sleep disorder treatment for health monitoring. Hence, a method of brain activity detection based on microwave scattering technology instead of scalp ...
Lixia Zheng, Daoguo Yang, Daoshuang Geng, Miao Cai   +3 more
core   +1 more source

Measuring center of pressure signals to quantify human balance using multivariate multiscale entropy by designing a force platform [PDF]

, 2013
Copyright © 2013 by the authors. To assess the improvement of human body balance, a low cost and portable measuring device of center of pressure (COP), known as center of pressure and complexity monitoring system (CPCMS), has been developed for data ...
Huang, C-W, Jiang, BC, Shieh, J-S, Sue, PD, Maysam F. Abbod, Bernard Jiang, Jiann-Shing Shieh, Huang, CW, Maysam Abbod, Pei-Der Sue, Shieh, JS, Abbod, MF, Bernard C. Jiang, Cheng-Wei Huang, Sue, P-D   +14 more
core   +1 more source

Regularized Joint Reconstruction and Slab Combination for Accelerated Three‐Dimensional Multi‐Slab Diffusion‐Weighted Imaging Using Multi‐Scale Energy Models

Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2321-2335, November 2026.
ABSTRACT Purpose To jointly reconstruct high‐resolution diffusion‐weighted volumes and eliminate slab‐boundary artifacts while preserving fine anatomical detail from undersampled 3D multi‐slab k‐space acquisitions. Methods A bilinear forward model was formulated to describe the 3D multi‐slab acquisition, treating the image volume and slab excitation ...
Reza Ghorbani, Jyothi Rikhab Chand, Chu‐Yu Lee, Mathews Jacob, Merry Mani   +4 more
wiley   +1 more source

An Improved Composite Multiscale Fuzzy Entropy for Feature Extraction of MI-EEG

, 2020
Motor Imagery Electroencephalography (MI-EEG) has shown good prospects in neurorehabilitation, and the entropy-based nonlinear dynamic methods have been successfully applied to feature extraction of MI-EEG.
Ruotu Wang, Dongqin Xu, Mingai Li
core   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, Volume 28, Issue 20, 21 October 2026.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

A multivariate multiscale fuzzy entropy algorithm with application to uterine EMG complexity analysis [PDF]

, 2016
The recently introduced multivariate multiscale entropy (MMSE) has been successfully used to quantify structural complexity in terms of nonlinear within- and cross-channel correlations as well as to reveal complex dynamical couplings and various degrees ...
Danilo Mandic, Ahmed, MU, Thayyil, S, Danilo P. Mandic, Mosabber Ahmed, Chanwimalueang, T, Mosabber U. Ahmed, Theerasak Chanwimalueang, Sudhin Thayyil, Mandic, DP   +9 more
core   +1 more source

Vibration and buckling of cross-ply composite beams using refined shear deformation theory [PDF]

, 2012
Vibration and buckling analysis of cross-ply composite beams using refined shear deformation theory is presented. The theory accounts for the parabolical variation of shear strains through the depth of beam.
Inam, Fawad, Vo, Thuc
core