Balwinder Raj & Brij B Gupta 
DISTRIBUTED INTELLIGENT CIRCUITS AND SYSTEMS 

The main objective of this book is to provide insights into recent advances in distributed intelligent circuits, systems and their applications. Distributed intelligence is the key enabler for innovations in machine-to-machine communications. The innovations are directed towards keeping existing algorithms as the base and developing new intelligent systems by employing smart technologies. Artificial intelligence (AI) and, more specifically, deep learning (DL) are receiving significant attention in assisting doctors in the detection of disease patterns without much human intervention. In agriculture, robots automate slow, repetitive and dull tasks, allowing farmers to focus more on improving overall production yields.

The evolving trends point to the interface of artificial intelligence with machines being a factor in enhancing the decision-making capabilities of smart machines. This book provides relevant theoretical frameworks that include basic models, algorithms, circuit designs and the latest developments in experimental aspects in the field of distributed intelligence systems for industrial applications. The challenges encountered in the development of models for distributed intelligence systems for environmental monitoring are mitigated with artificial intelligence, machine learning and deep learning. This book identifies challenges and helps in applying solutions in the development of advanced intelligent systems for environmental monitoring.

Contents:

• An Analytical View of Do S or DDo S Attacks for Network Architecture (Sahilpreet Singh, Arjan Singh, and Vishal Goyal)


• Designing Scalable Event-Driven Systems with Message-Oriented Architecture (Daniel Šandor and Marina Bagić Babac)


• Bone Fracture Detection Using Machine Learning (Chirag Sethi, Shailendra Singh, Puspraj Singh Chauhan, and Balwinder Raj)


• Urban Smart Connectivity Using Intelligent Technologies (Chirag Sethi, Shailendra Singh, and Balwant Raj)


• Artificial Neural Network for RF MEMS Circuits (S Kanthamani, J Joslin Percy, and S Mohamed Mansoor Roomi)


• Management of COVID-19 Patients Through Io T-Based Smart Ambu Bag (Ankit Jain, Shailendra Singh, Puspraj Singh Chauhan, and Anita Shukla)


• VANETs: Introduction, Communication Protocols, and Challenges (Shivani Sharma, Sachin Kumar, and Sateesh Kumar Awasthi)


• Performance Analysis of Clustering Algorithms in Wireless Camera Sensor Networks for Energy-Efficient Cooperative Communication (Nishant Tripathi, Charanjeet Singh, and Kamal Kumar Sharma)


• Development of Autonomous Vehicles: Perspectives and Challenges (Md Hashim, Vivek Kumar, Garima Jain, Hitesh Singh, K Prabhanjan Kumar, and Shyam Akashe)


• Review of Time Domain Signal Processing Using Time-to-Digital Converter (Pooja Saxena and K Hari Prasad)


• Design and Development of Multipurpose Agriculture Robot (Agrobot) (Shailendra Singh, Puspraj Singh Chauhan, Chirag Sethi, Ankit Jain, and Suneet Kumar Agnihotri)

Readership: Graduate and post-graduate students, and researchers specialising in electronics engineering and computer engineering.

Key Features:

• The comprehensive approach and detailed topics discussed in this book are beneficial to readers as they provide insights into recent advances in distributed intelligent circuits, systems, and their applications


• The book provides an overview of intelligence system architecture, algorithms, circuits, and systems for the benefit of fields such as healthcare, agriculture environmental monitoring


• This book identifies challenges and helps in applying solutions in the development of advanced intelligent systems for environmental monitoring, also providing future research directions in intelligent systems