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Published in 2019 at "Engineering with Computers"
DOI: 10.1007/s00366-019-00882-2
Abstract: The advent of new data-mining techniques and, more recently, swarm-based optimization algorithms have antiquated traditional models in the field of energy performance analysis. This paper investigates the potential of two state-of-the-art hybrid methods, namely grasshopper…
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Keywords:
wolf optimization;
grasshopper optimization;
area;
optimization ... See more keywords
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Published in 2019 at "Parasitology Research"
DOI: 10.1007/s00436-019-06519-z
Abstract: Thelazia callipaeda, originally known as an “Oriental eyeworm,” is a small nematode parasitizing the conjunctival sacs of domestic and wild animals and humans. Previous studies conducted in Serbia have reported the eyeworm infections in dogs,…
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Keywords:
thelazia callipaeda;
canis lupus;
wolf canis;
callipaeda gray ... See more keywords
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Published in 2017 at "Journal of Mammalogy"
DOI: 10.1093/jmammal/gyw145
Abstract: Starting in the 1970s, many populations of large-bodied mammalian carnivores began to recover from centuries of human-caused eradication and habitat destruction. The recovery of several such populations has since slowed or reversed due to mortality…
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Keywords:
mortality patterns;
wolf mortality;
wolf;
mortality ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3167888
Abstract: High spectral dimensionality of hyperspectral image (HSI) has brought great redundancy for data processing. Band selection, as one of the most commonly used dimension reduction techniques, attempts to remove the redundant spectral bands, while maintaining…
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Keywords:
band;
convergence;
band selection;
gray wolf ... See more keywords
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Published in 2023 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.32.2.023042
Abstract: Abstract. In the last decade, the success achieved by convolutional neural networks (CNN) has changed the trend of research in the computer vision field from manual features to learned features for various applications. However, designing…
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Keywords:
improved competitive;
convolutional neural;
gray wolf;
optimization ... See more keywords
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Published in 2022 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/01423312221119648
Abstract: The low-cost and small size solid-state sensor arrays are suitable to implement a wide-area electronic nose (e-nose) for real-time air quality monitoring. However, accuracy of these low-cost sensors is not adequate for precise measurements of…
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Keywords:
low cost;
architecture;
optimal architecture;
gray wolf ... See more keywords
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Published in 2022 at "Advances in Mechanical Engineering"
DOI: 10.1177/16878132221085324
Abstract: The aim of this study is to investigate nonlinear DC motor behavior and to control velocity as output variable. The linear model is designed, but as it is experimentally verified that it does not describe…
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Keywords:
optimization algorithm;
control;
motor;
gray wolf ... See more keywords
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Published in 2018 at "Advances in Mechanical Engineering"
DOI: 10.1177/1687814018765535
Abstract: Blocking flow shop scheduling problems have important applications in manufacturing. Because of the imprecise and vague temporal parameters in real-world production, this article formulates a fuzzy blocking flow shop scheduling problem with fuzzy processing time…
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Keywords:
wolf optimization;
objective gray;
multi objective;
hybrid multi ... See more keywords
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Published in 2020 at "Applied optics"
DOI: 10.1364/ao.391731
Abstract: Optical data communication based on the orbital angular momentum (OAM) of light is a recently proposed method to enhance the transmission capacity of optical fibers. This requires a new type of optical fiber, the main…
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Keywords:
optimization;
gray wolf;
angular momentum;
fibers using ... See more keywords