Data og IT

Monte Carlo techniques have increasingly become a key method used in quantitative research. This book introduces engineers and scientists to the basics of using the Monte-Carlo simulation method which is used in Operations Research and other fields to understand the impact of risk and uncertainty in prediction and forecasting models.

This book highlights the Internet of Things (IoT) and business models in the telecom industry. It assesses IoT's impact on the telecom industry's revenue streams, carries out a PESTLE analysis of the industry and IoT, and identifies key technological drivers.

Fog, Cloud Computing and their connectivity with the IoT are discussed in this book, with an emphasis on the advantages and implementation issues. It also explores the various architectures and appropriate IoT applications.

This book provides a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft computing techniques, the book covers every major technique in AI in a clear and practical style.

The text discusses the modeling and optimization of mini and micro grids systems with artificial intelligence and meta-heuristic techniques. It will be an ideal reference text for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies.

Searching for a needle in a haystack is an important task in several contexts of data analysis and decision-making. Examples include identifying the insider threat within an organization, the prediction of failure in industrial production or pinpointing the unique signature of a solo perpetrator, such as school shooter or a lone wolf terrorist.

This book presents the creation of a bilingual thesaurus (Italian and English), and its conversion into an ontology system. It is a valuable reference to scholars of corpus-based studies, terminology, ICT, documentation and librarianship studies, text processing research, as well as professionals involved in Cybersecurity organizations.

This book provides a snapshot of building knowledge-based systems, inconsistency measures, methods for handling consistency and integrating knowledge bases. It provides the mathematical background to solve problems of restoring consistency and problems of integrating probabilistic knowledge bases.

This book emphasizes and facilitate a greater understanding of various security and privacy approaches using the advance AI and Big data technologies like machine/deep learning, federated learning, blockchain, edge computing and the countermeasures to overcome the vulnerabilities of the Fog-enabled IoT system.

This book talks about the theoretical frameworks, technical methodologies, Information security, and empirical research findings in the field to protect your computers and information from adversaries. Solution to secure data management issues for online learning applications will keep you interested and involved throughout.

5G technology is the next step in the evolution of wireless communication. However, it also introduces new cyber risks. 5G networks are expected to be much more complex, making them harder to secure. Fortunately, artificial intelligence can play a key role in mitigating these risks.

This book provides a comprehensive overview of Blockchain for 6G enabled network-based applications. Following the key services of Blockchain technology, this book will be instrumental to ideate and understand the necessities, challenges and various case studies of different 6G based applications.

Artificial Intelligence in Highway Safety is a cutting-edge book in the world of AI in the field of highway safety. The author is a highway safety expert, pursues highway safety within its contexts, while drawing attention to the predictive powers of the AI techniques in solving complex problems for safety improvement.

This handbook provides a comprehensive collection of knowledge for emerging multidisciplinary research areas such as cybersecurity, IoT, Blockchain, Machine Learning, Data Science, and AI. This book brings together in one resource Information security across multiple domains.

This book investigates the fundaments, standards, and protocols of Cyber-Physical Systems (CPS) in the Industrial Transformation environment. It facilitates a fusion of both technologies in the creation of reliable and robust applications.

Artificial intelligence and machine learning are becoming more present in society today and are expected to become more pervasive in the future. This four-section book is a first to shed a critical light on AI use, addressing the health, social, legal, ethical, philosophical questions raised.

The book covers a large body of knowledge to help practitioners and researchers understand the problems, concepts, methods and tools involved in modern social data analytics. The book includes a wealth of material to choose from for courses in data science and analytics.

Blockchain and distributed ledger technology (DLT) have been identified as emerging technologies that can enhance global supply chain management processes. Given the embryonic nature of the technology, use cases pertaining to how it can be adopted and deployed in supply chain contexts is scarce.

The book addresses the issues faced by teachers in the adoption of digital tools into their teaching. It presents theoretical perspectives of teaching students with technology and proposes a pragmatic and sustainable framework for teachers' professional learning to embed digital technologies into their repertoire of teaching strategies.

This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis.

Quantum computing's importance in real-time applications are explored in depth in this book which will serve as a foundation for researchers and scientists in this field. Future technologies, such as quantum drone delivery systems, quicker internet, and climate change mitigation.

This book aims at providing theoretical knowledge in the application of swarm intelligence and evolutionary computation including several recent meta-heuristic algorithms and also providing practical emerging applications in machine learning and deep learning.

This book covers the global digital revolution in the field of healthcare sector. The book encompasses chapters belong to the blockchain, Artificial Intelligence, and Big health data technologies.

This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing.