A Workflow Scheduling Approach With Modified Fuzzy Adaptive Genetic Algorithm in IaaS Clouds
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2022.3174112
Abstract: The emergence of the cloud platform with substantial resources to offer on-demand instigated the researchers to migrate the scientific workflows to the cloud environment. The scheduling of workflows with diverse QoS parameters is not a… read more here.
Keywords: fuzzy adaptive; genetic algorithm; algorithm; adaptive genetic ... See more keywords
Blood glucose level prediction for diabetes based on modified fuzzy time series and particle swarm optimization
Sign Up to like & getrecommendations! Published in 2021 at "Computational Intelligence"
DOI: 10.1111/coin.12396
Abstract: Blood glucose control is an essential goal for the patients who have Type‐1 diabetes (T1D). The prediction of the blood glucose levels for the next 30‐minute is crucial. If the predicted blood glucose level is… read more here.
Keywords: glucose level; modified fuzzy; blood; blood glucose ... See more keywords
Evaluation of Renewable Energy Alternatives for Turkey via Modified Fuzzy AHP
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DOI: 10.32479/ijeep.7349
Abstract: The importance of renewable energy is increasing both with the inadequacy of traditional energy resources and environmental awareness. Turkey has a large potential for renewable energy sources, and utilizing the potential is an inevitable choice… read more here.
Keywords: alternatives turkey; energy; modified fuzzy; renewable energy ... See more keywords
Development of a Short-Term Electrical Load Forecasting in Disaggregated Levels Using a Hybrid Modified Fuzzy-ARTMAP Strategy
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DOI: 10.3390/en16104110
Abstract: In recent years, electrical systems have evolved, creating uncertainties in short-term economic dispatch programming due to demand fluctuations from self-generating companies. This paper proposes a flexible Machine Learning (ML) approach to address electrical load forecasting… read more here.
Keywords: methodology; fuzzy artmap; load forecasting; electrical load ... See more keywords
Segmentation in Structural Equation Modeling Using a Combination of Partial Least Squares and Modified Fuzzy Clustering
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DOI: 10.3390/sym14112431
Abstract: The application of a structural equation modeling (SEM) assumes that all data follow only one model. This assumption may be inaccurate in certain cases because individuals tend to differ in their responses, and failure to… read more here.
Keywords: partial least; equation modeling; structural equation; modified fuzzy ... See more keywords