Praveen Kumar

Shabana Urooj

Seema Rawat

Neelu Jyothi Ahuja

Avita Katal

Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning (ML) and cloud computing combine to drive data-driven decision-making across industries. Covering ML techniques, loud-based analytics tools and security concerns, this book provides theoretical foundations and real-world applications in fields like healthcare, logistics and e-commerce. It also addresses security challenges, privacy concerns and compliance frameworks, ensuring a comprehensive understanding of cloud-based analytics. This book: Covers supervised and unsupervised learning, including regression, clustering, classification and neural networks Discusses Hadoop, Spark, Tableau, Power BI and Splunk for analytics and visualization Examines how cloud computing enhances scalability, efficiency and automation in data analytics Showcases ML-driven solutions in e-commerce, supply chain logistics, healthcare and education This book is an essential resource for students, researchers and professionals who seek to understand and apply ML-driven cloud analytics in real-world scenarios.

Data Analytics using Machine Learning Techniques on Cloud Platforms

Vikrant Bhateja

Wendy Flores-Fuentes

P. Satish Rama Chowdary

Rudra Sankar Dhar

The book discusses the latest developments and outlines future trends in the fields of microelectronics, electromagnetics, and telecommunication. It contains original research works presented at the International Conference on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2023), organized by Department of Electronics and Communication Engineering, National Institute of Technology Mizoram, India during October 6–7, 2023. The book is divided into two volumes, and it covers papers written by scientists, research scholars, and practitioners from leading universities, engineering colleges, and R&D institutes from all over the world and share the latest breakthroughs in and promising solutions to the most important issues facing today’s society.

Proceedings of 8th International Conference on Microelectronics Electromagnetics and Telecommunications (ICMEET 2023)

Evolution in Signal Processing and Telecommunication Networks

Deepti Agarwal

Kimmi Verma

Energy Harvesting: Enabling IoT Transformations gives insight into the emergence of energy harvesting technology and its integration with IoT-based applications. The book educates the reader on how energy is harvested from different sources, increasing the effectiveness, efficiency and lifetime of IoT devices. • Discusses the technology and practices involved in energy harvesting for biomedical, agriculture and automobile industries • Compares the performance of IoT-based devices with and without energy harvesting for different applications • Studies the challenges and issues in the implementation of EH-IoT • Includes case studies on energy-harvesting approach for solar, thermal and RF sources • Analyzes the market and business opportunities for entrepreneurs in the field of EH-IoT. This book is primarily aimed at graduates and research scholars in wireless sensor networks. Scientists and R&D workers in industry will also find this book useful.

Enabling IoT Transformations

Energy Harvesting

Shabana Urooj

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