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Biological Reviews, 2020 ABSTRACTCamouflage – adaptations that prevent detection and/or recognition – is a key example of evolution by natural selection, making it a primary focus in evolutionary ecology and animal behaviour. Most work has focused on camouflage as an anti‐predator adaptation. However, predators also display specific colours, patterns and behaviours that reduce
Matilda Q R Pembury Smith +1 more
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Scalable, Color‐Matched, Flexible Plasmonic Film for Visible–Infrared Compatible Camouflage
Advanced Science, 2023 The multispectral compatible infrared camouflage technology is implemented these days to counter the developing infrared detectors and detectors of other bands.
Junlong Tian, Wang Zhang
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Multi-dimensional camouflage against VIS-NIR hyperspectral, MIR intensity, and MIR polarization imaging. [PDF]
Light Sci ApplCamouflage is essential in modern security and military operations, playing a critical role in evading detection and enhancing the survivability of equipment.
Qin R +5 more
europepmc +2 more sources
Color-thermal multispectral camouflage with VO<sub>2</sub>-based dynamic regulator. [PDF]
Light Sci ApplCamouflage technology has garnered increasing attention for various applications. With the continuous advancement of detection technologies and the increasing variability of camouflage scenarios, the demand for multispectral dynamic camouflage has been ...
Li C +8 more
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Journal of Zoology, 2019 Autism is associated with many qualities that are highly sought after by employers such as reliability, persistence, attention to detail, creativity in problem solving and many others. The key to success in the workplace is understanding these strengths and identifying the support you need to help you flourish.
Innes C Cuthill
exaly +5 more sources
2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2021 Federated learning has been proposed as a concept for distributed machine learning which enforces privacy by avoiding sharing private data with a coordinator or distributed nodes. However, information on local data might be leaked through the model updates. We propose Camouflage learning, a machine learning scheme that distributes both the data and the
Nguyen, Le Ngu, Ma, Jing, Sigg, Stephan
openaire +3 more sources
Current Biology, 2016 Nokelainen and Stevens introduce strategies of concealment among animals and plants.
Ossi, Nokelainen, Martin, Stevens
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Evaluation of infrared camouflage effectiveness via a multi-fractal method
Defence Technology, 2021 This paper reports an alternative approach to the evaluation of infrared camouflage effectiveness via a multi-fractal method. By calculating multi-fractal spectra of the target region and the background regions in an infrared image, the spectrum shape ...
Xiao-peng Cheng +4 more
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Combining Max pooling-Laplacian theory and k-means clustering for novel camouflage pattern design
Frontiers in Neurorobotics, 2022 Camouflage is the main means of anti-optical reconnaissance, and camouflage pattern design is an extremely important step in camouflage. Many scholars have proposed many methods for generating camouflage patterns.
Minhao Wan, Dehui Zhao, Baogui Zhao
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A review of modern materials used in military camouflage within the radar frequency range
Technical Transactions, 2021 The article presents an overview of materials which can be employed used to camouflage objects on the modern battlefield in the radar frequency range.
Szczodrowska Bogusława +1 more
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