Advances in Deep Learning Applications for Smart Cities
- 5h 44m
- Rajeev Kumar, Rakesh Kumar Dwivedi
- IGI Global
- 2022
Within the past decade, technology has grown exponentially, and governments have promoted smart cities. Emerging smart cities have become both crucibles and showrooms for the practical application of the internet of things (IoT), cloud computing, and the integration of big data into everyday life. This complex concoction requires new thinking of the synergistic utilization of deep learning and blockchain methods and data-driven decision making with automation infrastructure, autonomous transportation, and more.
Advances in Deep Learning Applications for Smart Cities provides a global perspective on current and future trends concerning the integration of deep learning and blockchain for smart cities. It provides valuable insights on the best practices and success factors for smart cities. Covering topics such as digital healthcare, object detection methods, and power consumption, this book is an excellent reference for researchers, scientists, libraries, industry experts, government organizations, students and educators of higher education, business professionals, communication and marketing agencies, entrepreneurs, and academicians.
About the Author
Rajeev Kumar is Professor and Research Head, Computer Science and Engineering, Chandigarh University, Mohali Punjab, India. He is Visited international countries London, United Kingdom and Mauritius as professional activities. Under his supervision awarded 5 scholar their Ph.D. and 5 Scholar is Ongoing their research work. He is awarded 3 times Best project supervisor award; He is delivered a guest lecture, keynote speaker, chaired a session in many National and International conferences, Faculty Development program and workshop; He is completed one Research Project from DST in Bhimtal; He is organized many IEEE international conferences and workshop. He is authored and coauthored more than 85 papers in refereed international journal (SCI and Non- SCI) and conferences like IEEE, Springer, American Institute of Physics, New York Science international Journal New York City (USA), American Science Journal, BioInfo science Journal, Academic science of international journal (USA), International Journal of researcher, American Journal of Physics (USA) and many international Conferences and National Conferences, like IIT Roorkee (International Conference), etc.
Rakesh Kumar Dwivedi is Professor and Director, CCSIT, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India. Under his supervision awarded 8 scholar their Ph.D. and 4 Scholar is Ongoing their research work. He is delivered a guest lecture, keynote speaker, chaired a session in many National and International conferences, Faculty Development program and workshop; He is completed one Research Project from DST in Bhimtal; He is organized many IEEE international conferences and workshop. He is authored and coauthored more than 85 papers in refereed international journal (SCI and Non- SCI) and conferences like IEEE, Springer, American Institute of Physics, New York Science international Journal New York City (USA), American Science Journal, BioInfo science Journal, Academic science of international journal (USA), International Journal of researcher, American Journal of Physics (USA) and many international Conferences and National Conferences, like IIT Roorkee (International Conference), etc.
In this Book
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A Study on the Impact of AI of Consumer Behaviour With Reference to Commercial, Industrial, and Liability Insurance in New India Assurance in Mumbai
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An Application for Human Resource and Humanoid Management for Smart Cities
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Challenges and Opportunities for Smart Meters in Smart Cities of India Using Machine Learning and Deep Learning
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Data Analytics in the Smart City—Dependent on Cloud Computing
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Hindrance Detection and Avoidance in Driverless Cars Through Deep Learning Techniques
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Human-Machine Interactions—A Synthesis of Threats and Opportunities
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Implementation of E-Health Services Using Machine Learning for Smart Cities
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LoRa—A Novel Technology for Reduced Power Consumption of Street Lights Using IoT in Smart Cities
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Machine Learning Applications to Smart Cities—A Comparative Study
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Machine Learning in Automobiles
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Object Detection Methods for Improving Smart City Safety
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Progression of Digital Healthcare With Deep Learning and Blockchain Methods for Smart Cities
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Smart City—A Modernization for Uplifting the Standard of Living of the Citizens
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Smart City—Holistic Development Approach Using the ICT Paradigm – An Indian Perspective
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Compilation of References
