Aasim Zafar – författare

This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such as when there is incomplete, unclear, or imprecise information at hand or inadequate data. It further illustrates topics such as image processing, and power system analysis.This book:Discusses soft computing techniques including fuzzy Logic, rough sets, neutrosophic sets, neural networks, generative adversarial networks, and evolutionary computationExamines novel and contemporary advances in the fields of soft computing, fuzzy computing, neutrosophic computing, and machine learning systems, as well as their applications in real lifeServes as a comprehensive reference for applying machine learning and neutrosophic sets in real-world applications such as smart cities, healthcare, and the Internet of ThingsCovers topics such as image processing, bioinformatics, natural language processing, supply chain management, and cyberneticsIllustrates classification of neutrosophic machine learning, neutrosophic reinforcement learning, and applications of neutrosophic machine learning in emerging industriesThe text is written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

This book discusses the concept of the digital twin, which has the potential to change how systems are managed and created. It also discusses the metaverse as a new technology with literary roots, cross-platform avatars, and artificial intelligence-related cybersecurity risks.Digital Twin for Smart Cities and Urban Planning: From Virtual to Reality provides practitioners with concrete problem-solving methodologies while covering the most recent and cutting-edge digital twin application technologies in diverse fields. It highlights the benefits of digital twins in terms of data visualization, real-time data analytics, and learning, which leads to increased confidence in decision-making. The book discusses the metaverse as a new technology with literary roots, cross-platform avatars, and artificial intelligence-related cybersecurity risks. It also evaluates the opportunities that DT can provide for smart cities and discusses the prerequisites for secure, safe, and sustainable smart cities. It also explores the mix between the industrial Internet of Things, artificial intelligence, machine learning, and software analytics with spatial network graphs to construct living digital simulation models that update and alter in response to changes in their physical counterparts. The chapters also focus on digital twin driven smart design which establishes a foundation for the adoption of digital twin technology in product design by drawing on the most recent industry practice and research.The book is an excellent resource for practitioners and scholars in manufacturing, operations research, and communications who are thinking about digitizing their assets and related services. It is also a helpful resource for graduate students and academics looking to better understand pioneering digital twins technologies.

This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such as when there is incomplete, unclear, or imprecise information at hand or inadequate data. It further illustrates topics such as image processing, and power system analysis.This book:Discusses soft computing techniques including fuzzy Logic, rough sets, neutrosophic sets, neural networks, generative adversarial networks, and evolutionary computationExamines novel and contemporary advances in the fields of soft computing, fuzzy computing, neutrosophic computing, and machine learning systems, as well as their applications in real lifeServes as a comprehensive reference for applying machine learning and neutrosophic sets in real-world applications such as smart cities, healthcare, and the Internet of ThingsCovers topics such as image processing, bioinformatics, natural language processing, supply chain management, and cyberneticsIllustrates classification of neutrosophic machine learning, neutrosophic reinforcement learning, and applications of neutrosophic machine learning in emerging industriesThe text is written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.