Results 101 to 110 of about 11,957 (239)
Few-Shot SAR Target Recognition via Causal Inference and Deep Metric Learning
IEEE AccessDeep learning, with large-scale annotated datasets, has demonstrated remarkable success in synthetic aperture radar automatic target recognition (SAR-ATR).
Ke Wang, Yuqian Mao, Qi Qiao
doaj +1 more source
IEEE Access, 2019 This work uses the binary target region for synthetic aperture radar (SAR) automatic target recognition (ATR). Due to the differences of physical sizes and target shapes, the region residuals among the same classes and those between different targets are
Cuiping Shi +3 more
doaj +1 more source
Robust β‐myrcene block copolymer elastomeric vitrimers
Polymer International, EarlyView.Myrcene‐based vitrimeric elastomers were compared: statistical (poly(styrene‐stat‐myrcene‐stat‐AAEMA)] versus ‘hard–soft’ diblock (poly(styrene)‐block‐poly(myrcene‐co‐AAEMA)). The diblock's ability to anchor the glassy poly(styrene) blocks in a self‐assembled microstructure was effective – leading to four times higher tensile stress and ten times ...
Chong Yang Du +2 more
wiley +1 more source
Towards an Automatic Dictation System for Translators: the TransTalk Project
, 1994 Professional translators often dictate their translations orally and have them typed afterwards. The TransTalk project aims at automating the second part of this process.
Brousseau, Julie +5 more
core +1 more source
Automated construction of a hierarchy of self-organized neural network classifiers [PDF]
, 1996 This paper documents an effort to design and implement a neural network-based, automatic classification system which dynamically constructs and trains a decision tree. The system is a combination of neural network and decision tree technology.
Ruda, Harald, Snorrason, Magnus
core +1 more source
Polymer International, EarlyView.Biosurfactant was produced by Pseudomonas aeruginosa using andiroba waste from Amazonia. A biosurfactant–alginate composite (Alg/BioS) was successfully synthesized via ionotropic gelation, and achieved up to 70% Cr6+ removal from water. Abstract Environmental contamination by heavy metals represents a significant challenge due to their persistence in ...
Paulo Diniz Austriaco +11 more
wiley +1 more source
Background Debiased SAR Automatic Target Recognition via a Novel Causal Interventional Regularizer
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingRecent studies have utilized deep learning (DL) techniques to automatically extract features from synthetic aperture radar (SAR) images, which shows great promise for enhancing the performance of SAR automatic target recognition (ATR).
Hongwei Dong +5 more
doaj +1 more source
A new perspective on radiotherapy in the comprehensive treatment of cancer
Precision Radiation Oncology, EarlyView.Radiotherapy remains a key component in the comprehensive management of cancer. Its effectiveness is significantly improved through strategic combinations with chemotherapy, targeted therapy, and immunotherapy, providing a range of therapeutic outcomes from cure to palliative care.
Yingze Ma +4 more
wiley +1 more source
Does AI Affect the Democratic Conduct of War? Analyzing US and Israeli Military AI Deployment
Global Policy, EarlyView.ABSTRACT This study examines how the use of decision‐support military Artificial Intelligence (AI) systems can affect the democratic conduct of warfare. AI can challenge the democratic conduct of warfare by introducing systemic risks such as reduced oversight, opacity, and automation bias.
Alessandra Russo
wiley +1 more source
Adaptive Target Recognition: A Case Study Involving Airport Baggage Screening
, 2018 This work addresses the question whether it is possible to design a computer-vision based automatic threat recognition (ATR) system so that it can adapt to changing specifications of a threat without having to create a new ATR each time.
Kak, Avinash C. +2 more
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