Results 91 to 100 of about 48,420 (287)

SAR Automatic Target Recognition Based on Numerical Scattering Simulation and Model-based Matching

Leida xuebao, 2015
This study proposes a model-based Synthetic Aperture Radar (SAR) automatic target recognition algorithm. Scattering is computed offline using the laboratory-developed Bidirectional Analytic Ray Tracing software and the same system parameter settings as ...
Zhou Yu, Wang Hai-peng, Chen Si-zhe
doaj   +1 more source

Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education

Advanced Science, EarlyView.
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua, Anira Escrichs, Yonatan Sanz Perl, Morten L. Kringelbach, Adele Diamond, Solange Denervaud, Gustavo Deco   +6 more
wiley   +1 more source

SAR ATR Based on 3D Parametric Electromagnetic Scattering Model

Leida xuebao, 2017
Automatic Target Recognition (ATR) is one of the most difficult problems in Synthetic Aperture Radar (SAR) data interpretation. In recent years, the model-based SAR target recognition method has attracted much attention because of its good performance in
Wen Gongjian, Zhu Guoqiang, Yin Hongcheng, Xing Mengdao, Yang Hu, Ma Conghui, Yan Hua, Ding Baiyuan, Zhong Jinrong   +8 more
doaj   +1 more source

MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

Advanced Science, EarlyView.
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong, Ji Ma, Yidan Lu, Jiahui Zhang, Wanyue Li, Yeke Chen, Teng Zhang, Xuechao Chen, Zhangguo Yu, Peng Lu   +9 more
wiley   +1 more source

Radar Automatic Target Open Set Recognition Based on Cluster Boundary Detection

IEEE Access
Radar automatic target recognition has developed significantly in recent years. Previous works mainly aim at addressing the closed set recognition problem, whose test set and training set have the same categories of the targets.
Ziheng Xia, Mengdie Wu
doaj   +1 more source

Radar HRRP Target Recognition Based on Concatenated Deep Neural Networks

IEEE Access, 2018
In this paper, a deep neural network with concatenated structure is created for the recognition of flight targets. Compared with the traditional recognition method, the deep network model automatically gets deeper structure information that is more ...
Kuo Liao, Jinxiu Si, Fangqi Zhu, Xudong He   +3 more
doaj   +1 more source

WTAP‐Mediated m6A Modification Targets the LRP1‐Lipid Metabolism Axis to Regulate Joint Cartilage Regeneration

Advanced Science, EarlyView.
WTAP drives cartilage regeneration by activating an LRP1‐dependent lipid metabolic program in macrophages, enhancing IL‐10 and TGF‐β secretion to promote chondrogenic differentiation. Leveraging this mechanism, virtual screening identifies LRP1‐targeting compounds that effectively stimulate cartilage repair, highlighting a druggable epigenetic ...
Chenyan Huang, Chenyu Deng, Zhengrong Gao, Chen Chen, Huimin Zheng, Yue Yang, Yan Wei   +6 more
wiley   +1 more source

Electromagnetic Pulse Scattering by a Spacecraft Nearing Light Speed

, 2017
Humans will launch spacecraft that travel at an appreciable fraction of the speed of light. Spacecraft traffic will be tracked by radar. Scattering of pulsed electromagnetic fields by an object in uniform translational motion at relativistic speed may be
Bohren, Craig F., Breakall, James K., Garner, Timothy J., Lakhtakia, Akhlesh   +3 more
core   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source

Threshold Determination for ARTMAP-FD Familiarity Discrimination [PDF]

, 1997
The ARTMAP-FD neural network performs both identification (placing test patterns in classes encountered during training) and familiarity discrimination (judging whether a test pattern belongs to any of the classes encountered during training).
Carpenter, Gail A., Rubin, Mark A., Streilein, William W.   +2 more
core   +1 more source