This textbook explores the current challenges in and future prospects of context-aware pervasive systems and applications. The phenomenal advances in broadband technology and ubiquitous access to the Internet have transformed Internet computing into the Internet of Things (IoT), which is now evolving toward the Internet of Everything. Modern scientific, engineering, and business applications are increasingly dependent on machine-to-machine communication, wherein there is less human intervention. In turn, this creates a need for context-aware pervasive systems and applications in which...
This textbook explores the current challenges in and future prospects of context-aware pervasive systems and applications. The phenomenal advance...
Parikshit N. Mahalle, Pravin P. Hujare, Gitanjali Rahul Shinde
This book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the preventive mechanism enabled by predictive approach and condition-based smart maintenance. The intelligent decision support, earlier detection of spare part failure, fatigue detection is the main slices of intelligent and predictive maintenance system (PMS) leading towards Maintenance 4.0 This book presents prominent use cases of mechanical engineering using PMS along with the benefits. Basic understanding of data preparation is required for...
This book focus on key component required for building predictive maintenance model. The current trend of Maintenance 4.0 leans towards the prevent...
Parikshit N. Mahalle, Gitanjali R. Shinde, Yashwant S. Ingle
This book discusses the best research roadmaps, strategies, and challenges in data-centric approach of artificial intelligence (AI) in various domains. It presents comparative studies of model-centric and data-centric AI. It also highlights different phases in data-centric approach and data-centric principles. The book presents prominent use cases of data-centric AI. It serves as a reference guide for researchers and practitioners in academia and industry.
This book discusses the best research roadmaps, strategies, and challenges in data-centric approach of artificial intelligence (AI) in various doma...
Parikshit N. Mahalle, Gitanjali R. Shinde, Yashwant S. Ingle
This book discusses the best research roadmaps, strategies, and challenges in data-centric approach of artificial intelligence (AI) in various domains. It presents comparative studies of model-centric and data-centric AI. It also highlights different phases in data-centric approach and data-centric principles. The book presents prominent use cases of data-centric AI. It serves as a reference guide for researchers and practitioners in academia and industry.
This book discusses the best research roadmaps, strategies, and challenges in data-centric approach of artificial intelligence (AI) in various doma...
