Results 111 to 120 of about 1,487,802 (240)

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source

A Magnetically Programmable Metasurface for Versatile Scattering Manipulation in the Microwave Band

Advanced Electronic Materials, EarlyView.
A magnetically programmable metasurface converts external magnetic fields into microwave phase modulation, thereby removing surface bias wiring. This mechanism achieves both retro‐reflective beam control and radar scattering suppression, offering a contactless, barrier‐penetrating solution for on‐demand electromagnetic scattering reconfiguration ...
Lihao Zhu, Nan Zhao, Yao Lu, Zhe Zheng, Jiaqi Han, Lingyun Niu, Haixia Liu, Long Li   +7 more
wiley   +1 more source

Direct Observation of Radical‐Mediated Oxide‐to‐Alloy Transformation in Solution Under Pulsed Laser Irradiation

Angewandte Chemie, EarlyView.
Time‐resolved in situ x‐ray absorption spectroscopy and DFTB‐based molecular dynamics simulations identify direct hydrogen atom transfer from ethanol to lattice oxygen as the elementary step of laser‐driven reduction in NiCo2O4. While this transfer is facile, the subsequent release of lattice oxygen is entropy‐driven and becomes accessible only at ...
Woo Hyeok Kim, Sieon Jung, Ahreum Min, Raja Arumugam Senthil, Juhyeon Park, Wonil Seo, Seung Yeon Choi, Junu Bae, Cheolhee Yang, In‐hui Hwang, Joonghan Kim, Tae Wu Kim, Myong Yong Choi   +12 more
wiley   +2 more sources

Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network

Advanced Intelligent Discovery, EarlyView.
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang, Bing Sun, Zhigang Chen, Chenyu Zhao, Eugene Bakker, Yaojie Lei, Lingfei Zhao, Shijian Wang, Chao Liu, Virginia Xiaojun He, Bahram Shirzadi, Hao Liu, Xin Xi, Ruiliu Liu, Dongqing Wu, Guodong Long, Guoxiu Wang   +16 more
wiley   +1 more source

Radar nonlinear multi-target tracking method with parallel PHD filter

Scientific Reports
Since probability hypothesis density (PHD) filters do not need explicit data association, they have recently been widely used in radar multi-target tracking (MTT). However, in existing PHD filters, sampling times are generally considered the same for all
Jin Tao, Defu Jiang, Jialin Yang, Yan Han, Song Wang, Xingchen Lu   +5 more
doaj   +1 more source

An Adaptive IMM Algorithm for a PD Radar with Improved Maneuvering Target Tracking Performance

Remote Sensing
A pulse-Doppler (PD) radar has the advantage of strong anti-interference ability, and it is often used as a solution for maneuvering target tracking.
Wenwen Xu, Jiankang Xiao, Dalong Xu, Hao Wang, Jianyin Cao   +4 more
doaj   +1 more source

Catalyst‐Specialized Chemical Language Model Based on Transformer Variational Autoencoder for Catalyst Design and Discovery

Advanced Intelligent Discovery, EarlyView.
We present CatTransVAE, a catalyst‐specialized chemical language model (CLM) built on a transformer variational autoencoder (VAE), developed through pretraining on general compounds followed by fine‐tuning on diverse catalyst databases. A template‐guided generation framework is introduced to enable controlled catalyst design under structural ...
Apakorn Kengkanna, Masahito Ohue
wiley   +1 more source

Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems

Advanced Intelligent Systems, EarlyView.
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja, Mardavij Roozbehani, Munther A. Dahleh   +2 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

AI‐Enabled RGB Light‐to‐Frequency Sensor for Nondestructive Salinity Stress Monitoring in Medicinal Plants

Advanced Intelligent Systems, EarlyView.
A distributed wireless sensing framework enables noninvasive monitoring of plant salinity stress through leaf reflectance measurements acquired with portable optical sensors. The collected data are processed using TinyML‐based neural network models deployed at the edge, enabling accurate, real‐time, and low‐cost classification of salinity levels, while
Ali Ahmad, Vinie Lee Silva‐Alvarado, Arman Heydari, Sandra Sendra, Jaime Lloret   +4 more
wiley   +1 more source