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Two objectives big data task scheduling using swarm intelligence in cloud computing
Published 2016“…It has been widely used for its enormous benefits and its ability to cope with large scale data such as workflows and big data applications. …”
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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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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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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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Predicting longitudinal dispersion coefficient using ensemble models and optimized multi-layer perceptron models
Published 2024Subjects:Article -
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RAED: Response Analysis of Educational Data for leveraging knowledge dissemination system
Published 2015“…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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Proceeding Paper -
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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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Development of intelligent hybrid learning system using clustering and knowledge-based neural networks for economic forecasting : First phase
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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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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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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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RAED: Response analysis of educational data for leveraging knowledge dissemination system
Published 2015“…The characteristics of generated data act in agreement with all the parameters of big data such as volume, velocity, veracity, etc. …”
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Applications of IoT and Artificial Intelligence in Water Quality Monitoring and Prediction: A Review
Published 2023Conference Paper -
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A Theoretical Framework for Big Data Analytics Based on Computational Intelligent Algorithms with the Potential to Reduce Energy Consumption
Published 2019“…The purpose of this study is to explore the theoretical aspects of energy issues in big data analytics in relation to computational intelligent algorithms since this is critical in exploring the emperica aspects of big data. …”
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A theoretical framework for big data analytics based on computational intelligent algorithms with the potential to reduce energy consumption
Published 2019“…The purpose of this study is to explore the theoretical aspects of energy issues in big data analytics in relation to computational intelligent algorithms since this is critical in exploring the emperica aspects of big data. …”
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