Research Compendium On Iot And Machine Learning

Research Compendium on IoT and Machine Learning

Research Compendium on IoT and Machine Learning is volume that explores the intersection of the Internet of Things (IoT) and machine learning. It key concepts, architectures, algorithms, and applications, offering insights into how intelligent systems leverage IoT data for predictive analytics, automation, and decision-making. Topics such as edge computing, deep learning, security challenges, and real-world implementations, this serves as a valuable resource for researchers, engineers, and professionals seeking to understand and develop cutting-edge solutions in smart environments, healthcare, industrial automation, and beyond.

MANTHAN The Faculty-Student Research Compendium

Compendium of Management Case Studies

Case study is an important pedagogical tool not only to facilitate classroom teaching, but is also a research tool used widely in academia and industry. Every workplace situation calls for decision making and managerial skill. While some situations are more complex and far-reaching than the others, all decisions are equally important for the businesses in the overall landscape. On one hand, strategic decisions call for sharp business acumen and experience; on the other hand, operational decisions call for tact and eye for detail. Businesses employ unique solutions to solve their problem which is often recorded as a case study. These case studies are an effective tool to enhance learning. It stimulates the students to integrate classroom-learning with application orientation to solve real live problems. The growth in case writers coupled with availability of good cases has made industry and academia to embrace case methods. An initiative to support and encourage build indigenous case studies, this book is a compilation of the cases presented at the Management Case Conference organised by PSG Institute of Management in 2021