Results 221 to 230 of about 17,764,059 (293)

Broadband Near‐Field Computational Microwave Imaging Enabled by Nonperiodic Dispersive Unit‐Cell Loading in a Passive Metasurface

Advanced Electronic Materials, EarlyView.
A compact passive engineered surface converts changes in microwave frequency into many distinct illumination patterns, allowing nearby objects to be imaged without mechanical scanning, active tuning, or a large antenna array. Operating from 18 to 28 GHz, the single‐port system uses measured field patterns to reconstruct metallic targets and distinguish
Mohammed H. Arif, Firas Slewa Dawod, Henrik Jansen, Caner Kadıoğlu, Sayan Roy, Dirk Heberling, Renato Negra   +6 more
wiley   +1 more source

Embedded FMCW Radar Target Detection and Tracking Based on Inter-Frame Differencing and Boundary-Adaptive CA-CFAR. [PDF]

Sensors (Basel)
Zou X, Feng W, Gao B, Gao N, Chen J.
europepmc   +1 more source

Transparent and Flexible Broadband Microwave Absorber Based on a Nested Open‐Ring Metallic Mesh Architecture

Advanced Electronic Materials, EarlyView.
A flexible transparent microwave absorber is developed using a nested open‐ring metallic‐mesh structure, achieving over 90% absorption from 4.9 to 12.3 GHz with 75.8% visible transmittance. The device also maintains stable broadband absorption under bending, demonstrating its potential for flexible transparent electromagnetic protection.
Zhouying Jiang, Yuxi Hou, Mengnan Wang, Su Shen, Yan‐Hua Liu   +4 more
wiley   +1 more source

Time-Frequency Image-Based Overlapping LPI Radar Signal Detection and Recognition with LPI-YOLO. [PDF]

Sensors (Basel)
Pan H, Zhuo H, Chen W, Lai W, Zhou Y.
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Microwave breast imaging: A review of clinical potential and technological advances. [PDF]

World J Methodol
Akesson I, Kovac R, Son H, Teixeira de Castro Gonçalves Ortega AC, Fedorov D, Perera Molligoda Arachchige AS.   +5 more
europepmc   +1 more source

AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes

Advanced Intelligent Discovery, EarlyView.
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song, Xinmin Li, Hongbo Yu, Le Xiong, Guixia Liu, Weihua Li, Yun Tang   +6 more
wiley   +1 more source

Online Bias Estimation for Single-Platform Airborne Radar Using Bias-Subspace Information-Guided MAP-EKF. [PDF]

Sensors (Basel)
Luo J, Guan X, Song C, Zhang H.
europepmc   +1 more source

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

Design of a SoC-Based Highly Integrated RF Transceiver Module. [PDF]

Sensors (Basel)
Wu J, Zhou H, Shang L, Shao Y, Wang K.
europepmc   +1 more source