Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time

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Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science

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Big Data Analytics Techniques for Market Intelligence

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Big Data Quantification for Complex Decision-Making

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Practical Applications of Data Processing, Algorithms, and Modeling

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Recent Trends and Future Direction for Data Analytics

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Granular Computing and Big Data Advancements

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Data Collection and Analysis in Scientific Qualitative Research

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Pioneering Approaches in Data Management

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Advanced Interdisciplinary Applications of Deep Learning for Data Science

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Revolutionizing Data Science and Analytics for Industry Transformation

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Mapping Human Data and Behavior With the Internet of Behavior (IoB)

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