Results 101 to 110 of about 1,282,583 (256)

Some remarks on singular oscillatory integrals and convolution operators

, 2017
In this note we study the relation between oscillatory integral operators and convolution operators, and also the sharpness of L-p-estimates for singular oscillatory integral operators.
Sjölin, Per,, Per Sjölin
core   +1 more source

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 more
wiley   +1 more source

Sports Activity Recognition Using Textile‐Based Sensor Fusion and Complex‐Valued Residual Convolutional Neural Networks

Advanced Intelligent Systems, EarlyView.
Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi, Munire Sibel Cetin, Asli Tuncay Atalay, Ozgur Atalay, Gökhan Ince   +4 more
wiley   +1 more source

Machine Learning‐Enabled Field Prediction and Inverse Design of Functionally Graded Materials Inspired by Tendon–Bone Enthesis

Advanced Intelligent Systems, EarlyView.
A mechanics‐informed machine learning framework enables mechanics field prediction and inverse design of tendon–bone enthesis‐inspired functionally graded materials that reduce stress concentration and failure risk. By coupling multiscale finite element modeling, convolutional field prediction, and kernel‐based inverse design, the study uncovers ...
Zhangke Yang, Zhaoxu Meng
wiley   +1 more source

Inverse Design of Electromagnetic‐Induced Transparency Metasurface Using Conditional Generative Adversarial Network

Advanced Intelligent Systems, EarlyView.
This work develops a CGAN‐based metasurface inverse design method. It adopts an integrated workflow of pixel‐based graphical modeling, simulation, and GAF transform for automatic, batch metasurface dataset construction. With a U‐Net architecture, the CGAN generates high‐resolution, high‐fidelity metasurface structures. EIT verification achieves over 90%
Guirong Feng, Jiaze Xu, Yabo Lu, Zixiang Wu, Ziheng Zhou, Yueming Gao, Zhizhang (David) Chen   +6 more
wiley   +1 more source

Lubricant Oil Degradation, Condition Monitoring, and Service Life Estimation: A Review

Journal of the American Oil Chemists' Society, EarlyView.
Research framework of the study, integrating lubricant oil degradation, condition monitoring, and service life estimation. ABSTRACT Lubricant oil is often changed on fixed time schedules, even though its real condition depends on load, temperature, and contamination, so good oil is discarded in some cases and degraded oil stays in service in others ...
Laith Shatnawi, Niels Ockert, Sebastian Lenz, Patrick Harfmann, Markus Kley, Steffen Schwarzer   +5 more
wiley   +1 more source

extBatchMarking: An R package for hidden Markov models for extended batch data

Canadian Journal of Statistics, EarlyView.
Abstract We describe a new R package for extended batch‐mark methods. Extended batch marking is a valuable and efficient technique for estimating population sizes and survival probabilities of wild animals. It assigns the same identifier to a group of animals simultaneously, allowing researchers to track their survival over time.
Kehinde Olobatuyi, Simon Johns, Matthew R.P. Parker, Steve Hof, Laura L.E. Cowen   +4 more
wiley   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Machine Learning Unveils Isolated‐Surrounded Pt Motifs in High‐Entropy Alloys for Superior Low‐Temperature Ammonia Oxidation

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A physics‐informed machine learning approach successfully decodes the complex catalytic activity of high‐entropy alloys for ammonia oxidation. By revealing a synergistic mechanism involving lattice and electronic couplings, the study identifies a superior “isolated‐surrounded” platinum motif.
Shangfeng Jiang, Ting Tao, Kexiang Guo, Xinyu Fan, Xu Zhang, Zhen Zhou   +5 more
wiley   +1 more source

Localizing value of verbal automatisms, vocal automatisms, singing, and humming: A systematic review

Epileptic Disorders, EarlyView.
Abstract Objective We performed a systematic review of the localizing and lateralizing value of verbal automatisms, vocal automatisms, ictal singing, and humming in focal epilepsy with the view to summarize the state‐of‐the‐art clinico‐anatomical correlations in the field and help guide interpretation of ictal semiology within the framework of ...
Vit Vsiansky, Martin Pail, Milan Brazdil
wiley   +1 more source