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Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4443-1
Abstract: An essential activity to obtain valuable information to identify, for example, intrusions, faults, system failures, etc, is outliers detection. This paper proposes a bio-inspired algorithm able to detect anomaly data in distributed systems. Each data…
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Keywords:
inspired algorithm;
bio inspired;
outliers detection;
agents associated ... See more keywords
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Published in 2021 at "Fibers and Polymers"
DOI: 10.1007/s12221-021-8163-9
Abstract: This project was aimed to focus on the application of bat inspired algorithm with the aid of artificial neural networks (ANN-BA) as a novel metaheuristic algorithm in chemistry and environmental sciences for optimization of tartrazine…
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Keywords:
algorithm aid;
adsorption;
inspired algorithm;
bat inspired ... See more keywords
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Published in 2019 at "Journal of Food Science and Technology"
DOI: 10.1007/s13197-019-03892-6
Abstract: A bat inspired algorithm with the aid of artificial neural networks (ANN-BA) has been used for the first time in chemistry and food sciences to optimize solvent-terminated dispersive liquid–liquid microextraction (ST-DLLME) as a green, fast…
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Keywords:
methodology;
extraction;
liquid;
water ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3001685
Abstract: The kidney-inspired algorithm (KA) was presented in a recent research paper as a metaheuristic search algorithm. The KA imitates the physiological process of the kidneys in the human body. The second kidney in the human…
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Keywords:
sub population;
kidney inspired;
water quality;
inspired algorithm ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3170038
Abstract: The classification of high dimensional gene expression/ microarray data always plays an important role in various disease diagnoses and drug discovery. To avoid the curse of high dimensionality, the selection of the most influential genes…
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Keywords:
bio inspired;
algorithm;
high dimensional;
inspired algorithm ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3262167
Abstract: Classification of different deadly diseases using machine learning algorithms helps in making the health care system more robust. This, not only reduces the human errors during diagnosis of disease due to inexperience but also helps…
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Keywords:
mbo;
system;
nature inspired;
adaptive broad ... See more keywords
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Published in 2020 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2017.2679738
Abstract: In this paper, we propose a novel HYBRID Bio-Inspired algorithm for task scheduling and resource management, since it plays an important role in the cloud computing environment. Conventional scheduling algorithms such as Round Robin, First…
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Keywords:
management;
inspired algorithm;
bio inspired;
scheduling resource ... See more keywords