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This new book looks at the fast-growing field of computational intelligence in a wide range of areas and offers new perspectives for using AI to enhance effectiveness as well as deal with real-life issues and problems. The diverse case examples highlight the integration of computational intelligence in drug discovery and the manufacturing of pharmaceuticals, in electronic science, in agricultural science, in manufacturing and industrial design, in finance and economics, in cybersecurity, in election integrity, in cancer prediction and analysis, for technical and vocational education, and more.

This new volume, Applications of Quantum Computing in a Variety of Domains, provides a comprehensive overview of the rapidly evolving field of quantum computing and its diverse applications across various domains. Quantum computing has emerged as one of the most promising frontiers in computer science, revolutionizing computation by leveraging the principles of quantum mechanics to perform complex calculations at speeds unattainable by classical computers. As this technology progresses, it has the potential to tackle some of the most challenging problems in science, engineering, finance, healthcare, and beyond.This volume has gathered insights from leading experts and researchers on the fundamental concepts of quantum computing and the latest advancements in quantum algorithms and hardware. It examines the practical applications of quantum computing across a range of industries and social media.The volume first lays the groundwork with an introduction to the principles of quantum mechanics and quantum computation, providing readers with a solid understanding of the theoretical underpinnings of quantum computing. From there, the book delves into the various quantum computing models, architectures, and algorithms, highlighting their unique advantages and challenges in the application of quantum computing in the many fields of computer security and cyber security, genetics, manufacturing and industrial design, chemistry, data science, machine learning, renewable energy, and weather forecasting and climate modeling.This volume, highlighting the diverse applications of quantum computing in a variety of domains, provides new perspectives for computing professionals as well as for faculty and students.

Soft computing and Industry 5.0 are two distinct concepts that, when combined, can have a significant impact on sustainability initiatives within various industries. Soft computing is a subfield of artificial intelligence (AI) that aims to address problems characterized by uncertainty, imprecision, and partial truth. It encompasses various computational techniques, such as fuzzy logic, neural networks, genetic algorithms, and machine learning, which enable machines to deal with complex and uncertain data in a more human-like manner. Soft computing techniques are particularly valuable in sustainability efforts because they can handle non-linear relationships and uncertain data that often arise in environmental and social contexts. For example, they can be used to optimize energy consumption, waste management, and resource allocation in industries by considering various factors and trade-offs.The book highlights the latest innovations in intelligent systems in classical machine learning, deep learning, Internet of Things (IoT), Industrial Internet of Things (IIoT), blockchain, knowledge representation, knowledge management, big data, and natural language processing. (NLP). The book contains many contemporary articles from both scientists and practitioners working in many fields where soft computing, intelligent systems and the IIoT can break new ground. Intelligent systems and the Internet of Things are now essential technologies in almost every field. From agriculture to industry to healthcare, the scope of smart systems and IIoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries.The primary market of this book is senior undergraduate students, post graduate students, practitioners, researchers, academicians, industrialists, and professionals working in areas of core computer science, electrical engineering, mechanical engineering, environmental engineering and agricultural engineering. The secondary audience of this book is individuals working in the areas of manufacturing, agriculture, remote sensing, environmental engineering, health care, smart cities, smart farming, remote sensing, supply chain management and hydrology.