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Fault-Tolerant and Data-Intensive Resource Scheduling and Management for Scientific Applications in Cloud Computing
2021
Sensors
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Therefore, this research work presents a cluster-based, fault-tolerant and data-intensive (CFD) scheduling for scientific applications in cloud environments. ...
Cloud computing is a fully fledged, matured and flexible computing paradigm that provides services to scientific and business applications in a subscription-based environment. ...
Acknowledgments: The authors gratefully acknowledge the Ministry of Higher Education Malaysia for in partial financial support through the Fundamental Research Grant Scheme with reference code FRGS/1/2018 ...
doi:10.3390/s21217238
pmid:34770545
pmcid:PMC8587021
fatcat:u53ocebfavfgnog7rwdkwdwz4e
Review of Metaheuristics Inspired from the Animal Kingdom
2021
Mathematics
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The search for powerful optimizers has led to the development of a multitude of metaheuristic algorithms inspired from all areas. ...
In addition, an analysis of the mechanisms used to ensure diversity was performed. The results obtained showed that the most frequently used mechanisms belong to the niching category. ...
Acknowledgments: The authors want to thank Florin Leon for his valuable insights and suggestions regarding the use of animal inspired metaheuristics. ...
doi:10.3390/math9182335
fatcat:lu4w7xjignedjazicqibu6ks2q
Efficient Time-Series Forecasting Using Neural Network and Opposition-Based Coral Reefs Optimization
2019
International Journal of Computational Intelligence Systems
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The algorithm is built as an improvement for coral reefs optimization (CRO) using opposition-based learning (OBL). ...
In addition, with used real datasets, we intend to concentrate on applying OCRO-MLNN to distributed systems in order to enable the proactive resource allocation capability for e-infrastructures (e.g. clouds ...
The list contains Mothflame optimization algorithm [50] , Whale optimization algorithm [51] , Salp Swarm Algorithm [52] , Grasshopper optimization algorithm [53] , Harris Hawks optimization [54] , ...
doi:10.2991/ijcis.d.190930.003
fatcat:2eugogcxyvcyhou7vhpmfh2cpq
A comprehensive survey of sine cosine algorithm: variants and applications
2021
Artificial Intelligence Review
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This paper presents a brief overview of the basic SCA and its variants divided into modified, multi-objective, and hybridized versions. ...
Since its introduction by Mirjalili in 2016, SCA has attracted great attention from researchers and has been widely used to solve different optimization problems in several fields. ...
Hybridization with Harris Hawks optimization algorithm In the work of Fu et al. (2020) , MSCAHHO was proposed using SCA, HHO, and mutation operator to tune the parameters of Support Vector Machine (SVM ...
doi:10.1007/s10462-021-10026-y
pmid:34092884
pmcid:PMC8171367
fatcat:moutlepxhvgvbk2arulqyaut6q
Early Recognition and Discrimination of COVID-19 Severity using Slime Mould Support Vector Machine for Medical Decision-making
2021
IEEE Access
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for SVM. ...
For more information, see https://creativecommons.org/licenses/by/4.0/ VOLUME 9, 2021 ...
optimization algorithm [101] , harris hawks optimization [102] , hunger games search [103] , whale optimization algorithm (WOA) [104] , [105] , fruit fly optimization algorithm [106] , [107] and ...
doi:10.1109/access.2021.3108447
fatcat:dr5r7rr4rzcvxj3wvdubefhrbm
Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey
[article]
2021
arXiv
pre-print
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computing. ...
However, no study has until now tried to systematise the research in which heuristic methods are applied for the UPMSP. ...
Both methods use a simple DR for constructing the initial solution. A problem from the cloud computing domain is examined in [255] . ...
arXiv:2107.13106v1
fatcat:e3eijbxklbeulefyv3t5kcu2im
2021 Index IEEE Transactions on Cybernetics Vol. 51
2021
IEEE Transactions on Cybernetics
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
., +, TCYB March 2021 1272-1285 An Elite Gene Guided Reproduction Operator for Many-Objective Optimization. ...
doi:10.1109/tcyb.2021.3139447
fatcat:myjx3olwvfcfpgnwvbuujwzyoi
The Intertwine of Brain and Body: A Quantitative Analysis on How Big Data Influences the System of Sports
2020
Annals of Data Science
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Big data, artificial intelligence, data analytics, machine learning, neural networks are promising prospects in the industry right now and subsequently the posterity for the current technological landscape ...
Hence, this paper offers a deeper look into how the entire sports industry has been affected in a multi-faceted way. ...
Acknowledgements The authors are grateful to Department of Chemical Engineering, School of Technology, Pandit Deendayal Petroleum University and Indus University for permission to publish this research ...
doi:10.1007/s40745-019-00239-y
fatcat:babkr7bwnjbmnj6dyi55wyy7aa
A novel hybrid hunger games search algorithm with differential evolution for improving the behaviors of non-cooperative animals
2021
IEEE Access
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However, HGS tends to stagnate in local optimal for some complex optimization problems and remains premature convergence. ...
The experimental results demonstrate that DECEHGS has competitive performance in global optimization tasks and engineering problems compared with state-ofthe-art algorithms. ...
Huiling Chen for his helpful suggestions and anonymous reviewers' valuable comments. ...
doi:10.1109/access.2021.3132617
fatcat:perixca3pbbfniapx5zsabifmq
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
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Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
Philosophy in Physics is typeset for physical printing and binding. ...
In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license. ...
doi:10.5281/zenodo.4598227
fatcat:hm2ksetmsvf37adjjefmmbakvq
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
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Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
Philosophy in Physics is typeset for physical printing and binding. ...
In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license. ...
doi:10.5281/zenodo.4591029
fatcat:zn2hvfyupvdwlnvsscdgswayci
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
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Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
in Physics will be typeset for physical printing and binding. ...
In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license. ...
doi:10.5281/zenodo.4399748
fatcat:63ggmnviczg6vlnqugbnrexsgy
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
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Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
in Physics will be typeset for physical printing and binding. ...
In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license. ...
doi:10.5281/zenodo.4413249
fatcat:35qbhenysfhvza2roihx52afuy
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
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Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
in Physics will be typeset for physical printing and binding. ...
In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license. ...
doi:10.5281/zenodo.4429792
fatcat:qs6yuapx4vdbdmwna7ix7nnwty
Advances in Electron Microscopy with Deep Learning
2020
Zenodo
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Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 accepted arXiv:2101.01178v4 fatcat:sgzeils4lzgp5ibelyrlvmh3o4Other Versions
Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders, ...
in Physics will be typeset for physical printing and binding. ...
In addition, part of the text in section 1.2 is adapted from our earlier work with permission 201 under a Creative Commons Attribution 4.0 73 license. ...
doi:10.5281/zenodo.4415407
fatcat:6dejwzzpmfegnfuktrld6zgpiq
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