Internet of Things and Machine Learning (Edited Series)
Series Editor: Dr. Vishal Jain, Sharda University, Greater Noida, India
Email: drvishaljain83@gmail.com
Technology is moving at an exponential pace in this modern era of computational intelligence. To complement this, Internet of Things and Machine Learning have emerged most promising tool for researchers and innovators to challenge themselves and think beyond the walls about new possibilities. The dependency of human processes on machine learning driven systems is encompassing all spheres of current state of the art systems. There is a huge potential in this domain to make the best use of machines in order to ensure the optimal prediction, execution and decision making. For this series, we invite researchers, academicians and professionals to contribute chapters expressing their ideas and research in the application of intelligent techniques to the field of engineering. Both theoretical contributions and practical applications in the area of intelligent techniques are welcome. This series shall help clarify understanding of certain key mechanisms and technologies helpful in realizing such systems.
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Biomedical Engineering and Signal Processing with AI and ML
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Intelligent Decision Support System for IoT-Enabling Technologies: Opportunities, Challenges and Applications
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Internet of Everything: Smart Sensing Technologies
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Artificial Intelligence and Digital Diversity Inclusiveness in Corporate Restructuring
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AI-Enabled IoT for Smart Health Care Systems
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Intelligent Information Retrieval for Healthcare Systems
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Internet of Things and Machine Learning in Agriculture
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Machine Learning Algorithms Using Python Programming
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