Scalable Modeling and Efficient Management of Iot Applications

Rajput, Dharmendra Singh (EDT); Lalotra, Gotam Singh (EDT); Kumar, Vinod (EDT); Kumar, Pushpendra (EDT); Patel, Harshita (EDT)

ISBN 13: 9798369347706

Edité par IGI Global, 2024

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Détails bibliographiques

• Titre: Scalable Modeling and Efficient Management of Iot Applications
• Éditeur: IGI Global
• Date de parution: 2024
• Langue: anglais
• ISBN à 13 chiffres: 9798369347706
• Reliure: Couverture souple
• État de l'article: As New

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Synopsis

Experts continue to struggle with developing methods to effectively navigate the intricate landscape of the Internet of Things (IoT). As the IoT landscape continues to expand and influence various industries, from healthcare to smart cities and beyond, scholars often find themselves facing an absence of comprehensive guidance in navigating this evolving technological landscape. The challenges are multifaceted and include the need for intelligent modeling techniques, the intricacies of managing IoT applications, and the relentless pace of technological advancements. This issue of staying well-informed and equipped to address these challenges demands an insightful solution. To tackle these challenges, Scalable Modeling and Efficient Management of IoT Applications emerges as a valuable resource, offering a multitude of effective solutions to address these concerns. This is a book that was meticulously crafted to empower scholars with the knowledge and tools they need. By tackling the scarcity of guidance on intelligent modeling techniques, the book equips readers with a profound understanding of the fundamental concepts, algorithms, and methodologies crucial for designing and managing intelligent IoT systems.

À propos des auteurs

Vinod Kumar has received the degree Bachelor of Science (PCM) from University of Allahabad, Uttar Pradesh-India in 2008, Master of Computer Applications in 2011. He has qualified UGC-NET (Computer Science and Applications) in 2013. He did Ph.D. from Maulana Azad National Institute of Technology (MANIT),Bhopal (MP) in 2019. He has worked as a Project Fellow on Project “Network Simulation Testbed at MCTE, MHOW(MP)” in Indian Institute of Information Technology-Allahabad (U.P.) in Collaboration with Military College of Telecommunication Engineering (MCTE), Mhow (MP) funded by Army Technology Board. He has 10+ Years experience in research and teaching. Currently He is working as Assistant Professor in Department of Computer Application, School of Computing Science & Engineering, Galgotias University, Uttar Pradesh, India. He is an active researcher in the field of Web Mining, Machine Learning, Graph Neural Network and Blockchain Technology, Internet of Things.

Harshita Patel had a Ph.D. awarded entitled ‘Efficient Computational Models for Classification of Imbalanced Data’ in Dept. of Computer Applications, Maulana Azad National Institute of Technology Bhopal (M.P.) in November 2017. Self-motivated learner gives emphasis on conceptual teaching and fundamentals. Generates subject interest in students through motivation, creative thinking, positive thinking with CAN DO approach and good verbal & communication skills. Impart theoretical knowledge with emphasis on application knowledge associated with lab learning, experimental and innovative approach in teaching with success records.