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Two objectives big data task scheduling using swarm intelligence in cloud computing
Published 2016“…From the results, it can be seen that PSO works better for big data applications and the cost is reduced to more than half when compared with ordinary scheduling algorithms such as First-Come-First-Serve (FCFS).…”
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Big data analytics and intelligence: A perspective for health care
Published 2023“…There are many techniques and algorithms are available such as PPDM, Machine Learning, Data Mining Algorithms, Artificial Intelligence etc. …”
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Software agent as an effective tool for managing the Internet of thing data complexity
Published 2017“…In the agent-based approach to middleware, the agent’s property such as autonomous, mobile and intelligent are suitable as e-assistance tool for big data management. …”
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Predicting longitudinal dispersion coefficient using ensemble models and optimized multi-layer perceptron models
Published 2024Subjects:Article -
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Artificial intelligence?powered electrochemical sensor: Recent advances, challenges, and prospects
Published 2025“…Still, they also pose challenges such as data privacy, sensor stability, and algorithmic bias. …”
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Hybrid binary whale with harris hawks for feature selection
Published 2022“…A tremendous flow of big data has come from the growing use of digital technology and intelligent systems. …”
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Intelligent transmission line fault diagnosis using the Apriori associated rule algorithm under cloud computing environment
Published 2024Subjects: “…Artificial Intelligent Algorithms…”
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Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review
Published 2022“…A new model integrated with the existing Metocean data system using ML algorithms to monitor and interoperate with maximum performance is proposed. …”
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RAED: Response Analysis of Educational Data for leveraging knowledge dissemination system
Published 2015“…This paper illustrates architecture to handle which latches into the existing framework and its eco-systems. The proposed architecture provides future researchers to validate their algorithm and get the provisioned output for the teaching-learning added for intelligent applications Keywords; Educational Data, Big Data, Data Analytics, Data Mining, Knowledge Discovery…”
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Development of intelligent hybrid learning system using clustering and knowledge-based neural networks for economic forecasting : First phase
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Hyperparameter tuned deep learning enabled intrusion detection on internet of everything environment
Published 2022“…On the other hand, the massive increase in data generation from IoE applications enables the transmission of big data, from contextaware machines, into useful data. …”
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Development and Integration of Metocean Data Interoperability for Intelligent Operations and Automation Using Machine Learning: A Review
Published 2022“…A new model integrated with the existing Metocean data system using ML algorithms to monitor and interoperate with maximum performance is proposed. …”
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Big data analytics and classification of cardiovascular disease using machine learning
Published 2022“…Living in an advanced era full of intelligent systems, the increasing number of deaths can be reduced. …”
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Big data analytics and classification of cardiovascular disease using machine learning
Published 2022“…Living in an advanced era full of intelligent systems, the increasing number of deaths can be reduced. …”
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Digitisation and Artificial Intelligence in the Islamic Finance Industry: Industry Innovation and Shariah Compliance Automation
Published 2025conference output::conference proceedings::conference paper -
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RAED: Response analysis of educational data for leveraging knowledge dissemination system
Published 2015“…This paper illustrates architecture to handle which latches into the existing framework and its eco-systems. The proposed architecture provides future researchers to validate their algorithm and get the provisioned output for the teaching-learning added for intelligent applications…”
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Semantic-k-NN algorithm: An enhanced version of traditional k-NN algorithm
Published 2020“…With the emergence of big data, the performance and the efficiency of the traditional k-NN algorithm is fast becoming a critical issue. …”
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Semantic-k-NN algorithm: An enhanced version of traditional k-NN algorithm
Published 2020“…With the emergence of big data, the performance and the efficiency of the traditional k-NN algorithm is fast becoming a critical issue. …”
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