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.

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.

ICICS is a series of conferences initiated by School of Electronics and Electrical Engineering at Lovely Professional University. Looking at the response to the conference, the bi-annual conference now onwards will be annual. The 5th International Conference on Intelligent Circuits and Systems (ICICS 2023) will be focusing on intelligent circuits and systems for achieving the targets in Sustainable Development Goal (SDG) 3, identified as ‘Good Health and Wellbeing’ by United Nations (Refs: https://sdgs.un.org/goals/goal3, https://sdg-tracker.org/).

This book is the proceeding of the 1st International Conference on Distributed Sensing and Intelligent Systems (ICDSIS2020) which will be held in The National School of Applied Sciences of Agadir, Ibn Zohr University, Agadir, Morocco on February 01-03, 2020. ICDSIS2020 is co-organized by Computer Vision and Intelligent Systems Lab, University of North Texas, USA as a scientific collaboration event with The National School of Applied Sciences of Agadir, Ibn Zohr University. ICDSIS2020 aims to foster students, researchers, academicians and industry persons in the field of Computer and Information Science, Intelligent Systems, and Electronics and Communication Engineering in general. The volume collects contributions from leading experts around the globe with the latest insights on emerging topics, and includes reviews, surveys, and research chapters covering all aspects of distributed sensing and intelligent systems. The volume is divided into 5 key sections: Distributed Sensing Applications; Intelligent Systems; Advanced theories and algorithms in machine learning and data mining; Artificial intelligence and optimization, and application to Internet of Things (IoT); and Cybersecurity and Secure Distributed Systems. This conference proceeding is an academic book which can be read by students, analysts, policymakers, and regulators interested in Distributed Sensing, Smart Network approaches, Smart Cities, IoT Applications, and Intelligent Applications. It is written in plain and easy language, and describes new concepts when they appear first so that a reader without prior background of the field finds it readable. The book is primarily intended for research students in sensor networks and IoT applications (including intelligent information systems, and smart sensors applications), academics in higher education institutions including universities and vocational colleges, policy makers and legislators.

ICICS-2020 is the third conference initiated by the School of Electronics and Electrical Engineering at Lovely Professional University that explored recent innovations of researchers working for the development of smart and green technologies in the fields of Energy, Electronics, Communications, Computers, and Control. ICICS provides innovators to identify new opportunities for the social and economic benefits of society. This conference bridges the gap between academics and R&D institutions, social visionaries, and experts from all strata of society to present their ongoing research activities and foster research relations between them. It provides opportunities for the exchange of new ideas, applications, and experiences in the field of smart technologies and finding global partners for future collaboration. The ICICS-2020 was conducted in two broad categories, Intelligent Circuits & Intelligent Systems and Emerging Technologies in Electrical Engineering.

Intelligent Manufacturing is a new disciplinary field which applies computer science, artificial intelligence, mechanical engineering and systems science to industrial manufacturing processes. This book presents a new integration architecture for implementing real-time distributed intelligent manufacturing systems.

In the evolving landscape of smart cities, the integration of technology and real-time data management presents a dual-edged challenge and opportunity for urban accessibility. The web of devices, from smartphones and connected cars to homes and citizens, forms the backbone of a smart city's infrastructure. As cities strive to become technologically enhanced hubs, the need for seamless accessibility becomes paramount. However, this ambitious transformation encounters hurdles such as traffic congestion, inefficient energy distribution, and concerns about air quality. Enter Blockchain-Based Solutions for Accessibility in Smart Cities, a groundbreaking exploration that addresses the issues hindering the optimal realization of smart city accessibility. This book delves into the emergence of blockchain technologies within smart city infrastructures and offers a compelling narrative on how blockchain-based solutions can be the catalyst for overcoming these challenges. This innovative book is crafted with a specific audience in mind – researchers, faculty, and students committed to shaping a secure ecosystem for smart city infrastructure. By merging concepts of security, smart city infrastructure, and blockchain, this multidisciplinary approach ensures that readers gain a nuanced understanding of the challenges at hand. Whether immersed in academia or eager to contribute to the evolution of smart cities, Blockchain-Based Solutions for Accessibility in Smart Cities is a valuable resource that empowers readers to navigate the complexities and unlock the full potential of blockchain in urban accessibility.