Results 111 to 120 of about 1,282,583 (256)

Next‐Generation Seismic Performance Assessment Through Multi‐Component Ground Motion Compatible Intensifying Artificial Acceleration

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Despite the crucial need for fully quantitative risk assessment of large‐scale structures, their performance is typically assessed through deterministic or semi‐quantitative approaches. The main preventing factor is the computational burden of probabilistic seismic analyses.
M. Amin Hariri‐Ardebili, Giacomo Sevieri, Carlo Resta, Golsa Mahdavi, Anna De Falco, Siamak Sattar, Sissy Nikolaou   +6 more
wiley   +1 more source

Machine Learning Modeling of Drill Cuttings Transport Based on Computational Fluid Dynamics Simulation Data

Energy Science &Engineering, EarlyView.
Machine learning surrogates accurately predict drill cuttings transport from computational fluid dynamics data, with Reynolds number dominating system behavior. While tree‐based models excel in accuracy, Gaussian process regression provides physically consistent, smooth predictions essential for reliable drilling simulations.
Kathrin Skinder, Mostafa M. Abdelhafiz, Khizar Shahid, Gunther Brenner   +3 more
wiley   +1 more source

From hydrogels to eutectogels: Emerging platforms for stretchable electronics

FlexMat, EarlyView.
The transition of wearable electronics toward long‐term reliability requires materials that resist dehydration without sacrificing tissue‐like softness and ionic conductivity. Eutectogels fulfill these demands by immobilizing deep eutectic solvents within tailored polymer networks.
Chang Zhou, Jiancheng Dong, Jiayu Hou, Shiyin Lin, Xingyu Liu, Hao Qiu, Mengting Zheng, Yuduo Zhang, Haijun Zhu, Kangjia Geng, Yidong Peng, Haoran Liu, Xu Zhang, Yunpeng Huang, Tianxi Liu   +14 more
wiley   +1 more source

CONVOLUTION USING THE UNDECIMATED DISCRETE WAVELET TRANSFORM

, 2008
Convolution is one of the most widely used digital signal processing operations. It can be implemented using the fast Fourier transform (FFT), with a computational complexity of  ¢¡¤£¦¥¨§ © £ .

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Explicit Methods for Inverse Source Identification in Transient Diffusion via Truncated Eigenfunction Regularization of Temperature Measurements

Heat Transfer, EarlyView.
ABSTRACT This work presents and compares two explicit approaches for estimating space‐ and time‐dependent source terms in parabolic diffusion equations, derived from analytical solutions obtained through the Classical Integral Transform Technique (CITT).
André J. P. de Oliveira, Diego C. Knupp, Luiz A. S. Abreu, Mousa J. Huntul, David A. Pelta, Antônio J. da Silva Neto   +5 more
wiley   +1 more source

Addressing the Abundance Paradox Through Topology‐Guided Graph Learning for Cross‐Cohort Classification of Type 2 Diabetes

iMetaMed, EarlyView.
By shifting from highly variable taxonomic abundance to conserved ecological network topologies, our Dual‐Stream Graph Attention Network (DS‐GAT‐CP) resolves the “abundance paradox,” enabling highly accurate and cross‐regionally robust non‐invasive screening for Type 2 Diabetes. ABSTRACT Gut microbiome‐based machine learning models for Type 2 Diabetes (
Changjian Wu, Ping Wei, Xuhui Wang, Hua Hua, Junli Li   +4 more
wiley   +1 more source

An efficient wave-optics framework for partially coherent pink X-ray beam simulation and analysis. [PDF]

J Synchrotron Radiat
Wang S, Xu H, Zhou L, Li M.
europepmc   +1 more source

Multi‐command wearable magnetic human‐machine interface enabled by low‐noise sensing and time‐series deep learning

InfoScience, EarlyView.
This study integrates a wrist‐worn sensing platform based on a low‐noise planar Hall magnetoresistive sensor with time‐series deep learning to enable long‐range, single‐sensor, multi‐command gesture recognition with high accuracy. Further evaluations show reliable generalization across different days, previously unseen users, wearing‐position ...
Guannan Mu, Proloy Taran Das, Jan Schmidtpeter, Andreas Knüpfer, Rui Xu, Denys Makarov   +5 more
wiley   +1 more source

Fault Feature Extraction of Rolling Bearings Based on Ordered Singular Spectrum Decomposition-Multipoint Optimal Minimum Entropy Deconvolution Adjusted. [PDF]

Entropy (Basel)
Li L, Chen W, Li W, Zhang Y, Liu J, Chen R.   +5 more
europepmc   +1 more source

Quasi‐2D perovskite memristors: From layered structures to advanced computing applications

InfoScience, EarlyView.
Quasi‐2D perovskites enable stable memristive switching through dimensional engineering that controls ion migration pathways. The layered structure suppresses leakage, improves environmental stability, and enables analog conductance modulation for neuromorphic computing, artificial vision, and in‐memory architectures, transforming ion migration from a ...
Jie Ma, Yujian Du, Yuljae Cho
wiley   +1 more source