Results 41 to 50 of about 1,154 (254)

Single-Scene SAR Image Data Augmentation Based on SBR and GAN for Target Recognition

Remote Sensing
High-performance neural networks for synthetic aperture radar (SAR) automatic target recognition (ATR) often encounter the challenge of data scarcity. The lack of sufficient labeled SAR image datasets leads to the consideration of using simulated data to
Shangchen Feng, Xikai Fu, Yanlin Feng, Xiaolei Lv   +3 more
doaj   +1 more source

Pholidota‐Inspired Electronic Skin Possessing Terahertz‐Wave Reflection–Absorption–Transmission Switchability

Advanced Science, EarlyView.
The pholidota‐inspired electronic skin is successfully constructed, originally realized four‐state reversible switching of terahertz‐wave reflection, absorption, transmission, and secondary reflection. In response to external demands, it issues deformation instructions, verifies the deformation state after the equipment executes the action, and thus ...
Shangjing Li, Jiangsong Hou, Yifeng Ruan, Jiang Du, Jun Qiu   +4 more
wiley   +1 more source

Calculation and Measurement of Near-Field RCS and Received Power Using a Downscaled Model of Precision-Guided Munition [PDF]

Journal of Electromagnetic Engineering and Science
This paper proposes a method for calculating received power using a downscaled model of an encounter scenario between a precision-guided munition (PGM) and a target by analyzing the near-field gain and near-field radar cross-section (RCS).
Kyuhwan Hwang, Daeyeong Yoon, Kyounghwan Jo, Hyounjoon Joo, Inbok Kim, Honghee Kim, Hongsun Yoon, Jeongsub Kim, Yong Bae Park   +8 more
doaj   +1 more source

Simulation-Based Feasibility Analysis of Ship Detection Using GNSS-R Delay-Doppler Maps

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
In this article, we carry out a simulation analysis of ship detection via Global Navigation Satellite System-Reflectometry (GNSS-R) delay-Doppler map (DDM).
Tiziana Beltramonte, Paolo Braca, Maurizio Di Bisceglie, Alessio Di Simone, Carmela Galdi, Antonio Iodice, Leonardo M. Millefiori, Daniele Riccio, Peter Willett   +8 more
doaj   +1 more source

Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)

Advanced Science, EarlyView.
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang, Jiahao Ding, Si Chen, Lijie Yan, Shichao Ding, Lavonda Li, Junyi Sun, Haodong Liu, Tongge Li, Ning Liu, Mingji Wei, Xiaoyong Zhu, Xiaobo Zou, Shouqi Yuan, Xingcai Zhang   +14 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

A Method for Mapping Strong Scattering Information in SAR Images to 3D Target Geometry Using a Customized Differentiable SAR Simulator

Journal of Remote Sensing
Synthetic aperture radar (SAR) is widely used for target observation and information acquisition in Earth remote sensing. Currently, deeply exploring target information in SAR images and analyzing target scattering characteristics have become an ...
Zinan Liu, Shengren Niu, Xiaolan Qiu, Lingxiao Peng, Chibiao Ding   +4 more
doaj   +1 more source

Using the CLEAN Method in Three-Dimensional Polarimetric ISAR Imaging Based on Volumetric Scattering Points [PDF]

Journal of Electromagnetic Engineering and Science
We developed a new technique for generating three-dimensional monostatic inverse synthetic aperture radar (ISAR) images using various types of polarimetric information on targets.
Hyung-Jun Lee, Yeong-Hoon Noh, Jong-Gwan Yook   +2 more
doaj   +1 more source

New moving target simulators for Doppler radar

Electronics Letters, 1981
Two new methods of providing equivalent Doppler frequency shift of reflected microwave signals have been developed. One is a mechanical spiral ‘barber's pole’ type of device. The other produces a single upper or lower sideband by purely electronic modulation techniques.
M.J. Lazarus, F.R. Pantoja, M.G. Somekh
openaire   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source