Results 121 to 130 of about 1,891 (207)
Weighted residual network for SAR automatic target recognition with data augmentation. [PDF]
Front Neurorobot, 2023 Li J, Peng C.
europepmc +1 more source
Alzheimer's &Dementia, Volume 22, Issue 7, July 2026.Abstract INTRODUCTION Pathological tau aggregates are key therapeutic targets in Alzheimer's disease (AD), but current approaches face limitations including poor intracellular penetration, lack of selectivity for aggregated over physiological tau, or reliance on invasive administration.
Nicolas Preitner +19 more
wiley +1 more source
Pose Estimation for SAR Automatic Target Recognition
, 1998 1 This paper explores statistically pose estimation in SAR ATR. Based on our proposed method of maximizing mutual information, further experiments are conducted by using the MSTAR/IU Database. Different pose estimator topologies and training criteria are
Jose C. Principe, Dongxin Xu, Qun Zhao
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Active and Attentive LADAR Scanning for Automatic Target Recognition
, 2008 In this work we examine the dynamic implications of active and attentive scanning for LADAR based automatic target/object recognition and show that a dynamically constrained, scanner based, ATR system\u27s ability to identify objects in real-time is ...
Budge, Scott E. +3 more
core +1 more source
A Transparent Long‐Term Cooling Green Plant‐Like Window for Net‐Zero Energy Buildings
Carbon Neutralization, Volume 5, Issue 4, July 2026.In this work, we report a bioinspired transparent green plant‐like window that integrates passive cooling, thermal insulation, and solar‐driven waste heat recovery to reduce building energy consumption. Outdoor field tests and 168‐h solar simulator exposure confirm long‐term thermal stability and cooling up to 21.9°C, and then simulations across 30 ...
Qianwang Ye +6 more
wiley +1 more source
Neural network approach to automatic target recognition (ATR) on deep in-memory architecture (DIMA)
Automatic target recognition (ATR) has a long history and a wide range of applications. It refers to the ability to recognize targets of interest based on readings collected from sensors.
Geng, Hanfei
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Techniques for Automatic Target Recognition
, 2012 Automatic target recognition (ATR) is an application of multi sensor data fusion technology which is an essential ingredient for achieving automation required in the areas of guidance navigation and control (GNC), weapon targeting and surveillance for ...
Shantha Kumar, N +4 more
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Deep transfer learning between heterogeneous data for automatic target recognition
, 2018 Recently, convolutional neural network(CNN) has shown remarkable performance in the field of computer vision thanks to the availability of large-scale dataset.
Kim, Ki-Duck, Kwak, P, Bang, Hyochoong
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Engineering Reports, Volume 8, Issue 7, July 2026.Overview of the paper organization, illustrating the hierarchical structure of cybersecurity domains in ICS and CPS, including attack analysis, security approaches, offensive tactics, career guidance, and concluding discussions. ABSTRACT The convergence of operational technology (OT) with IP‐based information systems has exposed industrial control ...
M. A. Khalifa +2 more
wiley +1 more source
Automatic Target Recognition in Laser Radar Imagery
, 1995 This paper presents an Automatic Target Recognition (ATR) system for laser radar (LADAR) imagery, designed to classify objects at multiple levels of discrimination (target detection, classification, and recognition) from single LADAR images. Segmentation
Harald Ruda +3 more
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