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The rapid convergence of the industrial internet of things (IIoT) and machine learning (ML) is propelling us into a new era known as Industry 5.0. This era is defined by unparalleled levels of automation, customization, and sustainability. Despite these advancements, there is a noticeable absence of comprehensive resources that offer a complete understanding of these transformative technologies and their practical applications across various industrial sectors. Transforing Industries: Capturing the Potential of IIoT and ML in the Era of Industry 5.0 aims to fill the void by providing a timely and relevant guide that explores the theoretical foundations of the technologies while also presenti...
Artificial intelligence (AI) and mechatronics are booming areas where most of the industrial sectors are becoming smart nowadays. This handbook includes material of multidisciplinary content from the AI, mechanical, and electronics engineering domains, among others. It gives insights into various application sectors discussing current global developments in mechatronics employing AI technology and addressing the complexity of current issues and the effects of diverse mechatronics systems. Handbook of AI-Based Mechatronics Systems and Smart Solutions in Industrial Automation focuses on system automation, predictive analysis, preventive analysis, and real-time decision-making systems for next-...
The field of industrial engineering has undergone a transformation in recent years, driven by emerging technologies such as Artificial Intelligence (AI), Machine Learning, and the Internet of Things (IoT). To keep pace with these advancements, a shift toward AI-driven development has become a necessity. From case studies to national and international best practices, Intelligent Manufacturing: Exploring AI, Blockchain, and Smart Technologies in Industry 4.0 delves into the challenges of incorporating AI-driven frameworks and standards into the smart industry landscape. It explores the integration of these advanced technologies into Industry 4.0 and presents a comprehensive overview of their p...
Fractional Order Systems and Applications in Engineering presents the use of fractional calculus (calculus of non-integer order) in the description and modelling of systems and in a range of control design and practical applications. The book covers the fundamentals of fractional calculus together with some analytical and numerical techniques, and provides MATLABĀ® codes for the simulation of fractional-order control (FOC) systems. The use of fractional calculus can improve and generalize well-established control methods and strategies. Many different FOC schemes are presented for control and dynamic systems problems. These extend to the challenging control engineering design problems of rob...
This book is a collection of papers presented during the 8th World Conference on Soft Computing in February 2022. The papers cover multiple areas important for soft computing. Some papers are dedicated to fundamental aspects of soft computing, i.e., fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation, and neural networks. Others emphasize the application of soft computing methods to data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling.
In real world applications, soft computing is an inspirational domain for encoding imprecision and uncertainty. Soft computing procedures integrated with medical applications can support the existing medical systems to allow solutions for unsolvable problems.
This book contains selected papers presented at the International Conference "Bio-Inspired Computational Methods Used for Difficult Problems Solving. Development of Intelligent and Complex Systems" - BICS 2008, organized by the Romanian Academy, Bucharest and Petru Major University of Tg. Mures, held on 5-7 November 2008 at Petry Major University of Tg. Mures, Romania. The aim of this conference was to bring together researchers working in the main areas of Complex Systems, Artificial Intelligence, Intelligent Systems and Natural Computing for presenting their recent results and exchanging ideas. The papers included in the book provide an introduction and also a state of the art to the bio-inspired computer science. The areas covered were those of natural computing, such as evolutionary and neural computing, as well as younger research directions, such as DNA computing, ant colony optimization, with connections and applications to intelligent complex systems and to medical informatics. Thus, both directions of research, from biology to informatics and from informatics to biology are illustrated.
The critical intersection of AI and next-generation wireless communication is essential in safeguarding digital infrastructure. As wireless networks grow more complex, the need for robust and adaptive security solutions has never been greater. AI offers the potential to detect threats in optimizing network performance and respond dynamically to evolving cyber risks. Intelligent algorithms can be integrated into wireless architectures to create resilient, self-healing systems that not only enhance connectivity but also ensure their trustworthiness in an increasingly connected world. Ensuring Secure Connectivity Through AI-Powered Wireless Systems explores the role of AI in enhancing security and sustainability within modern wireless communication systems. This book provides cutting-edge research and real-world applications of AI in wireless systems. Covering topics such as AI, wireless systems, and security, this book is an excellent resource for graduate students, academicians, researchers, security professionals, policymakers, and more.
Uncertainty in Computational Intelligence-Based Decision-Making focuses on techniques for reasoning and decision-making under uncertainty that are used to solve issues in artificial intelligence (AI). It covers a wide range of subjects, including knowledge acquisition and automated model construction, pattern recognition, machine learning, natural language processing, decision analysis, and decision support systems, among others. The first chapter of this book provides a thorough introduction to the topics of causation in Bayesian belief networks, applications of uncertainty, automated model construction and learning, graphic models for inference and decision making, and qualitative reasoning. The following chapters examine the fundamental models of computational techniques, computational modeling of biological and natural intelligent systems, including swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems, and evolutionary computation. They also examine decision making and analysis, expert systems, and robotics in the context of artificial intelligence and computer science.
As the world grapples with climate change, the demand for sustainable solutions has never been more of a pressing matter. Smart communications technologies have emerged as a key enabler in a shift on a more global scale. Recent advances like 5G and edge computing are not only enhancing connectivity and efficiency but also playing a pivotal role in reducing the environmental impact on the world. These developments in smart communication technologies explore how they are shaping a more sustainable and connected future. Recent Advances in Smart Communication Technologies for a Sustainable Future explores the recent advancements in computing and communication technologies that contribute to sustainability and a smarter future. This book explores the technological advancements in computing and communication for sustainability. Covering topics such as communication, sustainability, and climate change, this book is an excellent resource for researchers, industry professionals, academics, startups, and educators.