Data og IT

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The book explores the convergence of AI and Digital Twin technologies to empower Smart Manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, the book explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. The book demonstrates how the promise to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry is possible. By harnessing AI's capabilities in conjunction with digital twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0.

Agriculture has always been a vital sector of the global economy, providing food and raw materials for industries and households. However, with the growing population, changing climate conditions, and limited resources, the agriculture sector is facing numerous challenges. To address these challenges, farmers and agricultural companies are turning to advanced technologies such as Robotics, Artificial Intelligence (AI), and the Internet of Things (IoT). This exciting new volume provides a comprehensive overview of the latest technological advances in agriculture, focusing on the use of these three cutting-edge technologies. The book will explore the potential benefits of these technologies in improving agricultural efficiency, productivity, and sustainability. Whether for the veteran engineer, scientist in the lab, student, or faculty, this groundbreaking new volume is a valuable resource for researchers and other industry professionals interested in the intersection of technology and agriculture.

Volume VI of the Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing in the assessment and monitoring of droughts, dry lands, biomass burning, natural disasters, and urban studies and nightlights. This book is an essential resource for researchers at all levels interested in using remote sensing.

Volume V of the Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing technologies for studying water resources including groundwater, floods, snow and ice, and wetlands. This book provides an essential resource for researchers at all levels interested in using remote sensing.

Second International Conference on Emerging Trends in IOT and Computing Technologies (ICEICT - 2023) is organised with a vision to address the various issues to promote the creation of intelligent solution for the future.

It is with great pleasure to present the proceedings of the International Conference on Computational Intelligence and Mathematical Applications (ICCIMA 2023)

In the dynamic realm of AI technologies, influential applications like ChatGPT.

Artificial Intelligence (AI) has made significant advancements in various sectors of society.The utilization of AI brings forth crucial legal, ethical, and technical concerns and obstacles that must be appropriately addressed through thoughtful deliberation, discussions, and the implementation of effective regulations.

This book provides an examination of cutting-edge research and developments in the field of Artificial Intelligence. It seeks to extend the view in technical and societal evaluations to ensure a well-defined balance for societal outcomes. It explores ot topics such as Generative Artificial Intelligence, and Quantum Artificial Intelligence.

The drone industry is developing at an exponential pace and as technological sophistication advances, their future application prospects are limitless. Managing Safety in the Drone Industry: A Practical Guide aims explores safety structures and practices to tackle the increased risk of accidents and incidents in drone operations.

Blockchain technology is a digital ledger system that allows for secure, transparent and tamper-proof transactions. It is essentially an often decentralized, distributed, peer-to-peer database that is maintained by a network of computers instead of a single entity, making it highly resistant to hacking and data breaches.

Focusing on four key aspects of Web3, the book explores metaverses, data governance, public and private law interfaces, and access to justice, presenting new research on the impact of data analytics on transactions within law. It will be essential reading for scholars in law, business studies, economics, public administration and regulation.

1. EARLY HISTORY OF ROBOTIC TELEPRESENCE AND VIRTUAL REALITY. 2. ELEMENTS OF THE TECHNOLOGY. 3. WHAT IS TELEPRESENCE? WHAT IS REALITY?. 4. APPLICATIONS. 5. CHALLENGES FOR ROBOTIC TELEPRESENCE AND VIRTUAL REALITY. APPENDIX 1. RESPONSES TO POLLING. APPENDIX 2. BIBLIOGRAPHY.

This book highlights the developments, discoveries, and practical and advanced experiences related to responsive distributed computing and how it can support the deployment of trajectory-based applications in smart systems.

This book presents various concepts in the design and development of a smart city as well as methodologies and solutions involved in designing contemporary infrastructure for building smart cities around the world.

This book will give insight into the emerging semiconductor devices from their applications in electronic circuits. This book discusses the challenges in the field of engineering and applications of advanced low-power devices.

This book presents the advances and applications in the area of image processing with IoT and medical image processing and analysis techniques. It spotlights image processing and analysis techniques for IoT applications in CT images of COVID-19, remote sensing and medical engineering fields.

This book examines IoT as applied to real-life organizations and systems. It considers IoT as a disruptive technology that requires examination and consideration in multiple domains like CPS, ubiquitous distributed computing, sensor technologies, wireless sensor networks, data security and privacy, big data, machine learning, blockchain, and so on.

This book presents the integration of machine learning and deep learning algorithms that can be applied in the healthcare sector to reduce the time needed by doctors, radiologists, and other medical professionals to analyze, predict, and diagnose conditions with accurate results.

This book focuses on futuristic trends and innovations in multimedia systems using big data, IoT and cloud technologies. The authors present recent advancements in multimedia systems as they relate to various application areas such as health care services and agriculture-related industries.

This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to insure high quality data processing, medical image and signal analysis, and improved healthcare application.

The latest version of 'Programming in Ada' covers the full details of the core language Ada 2022 as approved by ISO in 2023, including new features that aid program proof and the efficient use of multicore architectures. The book is arranged in four parts. The first part introduces the key ideas to the newcomer illustrated by working examples. The algorithmic features, structural features such as OOP and multitasking, and details of the standard library and interaction with the external environment are all covered in subsequent parts. This comprehensive guide includes five working examples and is enhanced by a range of supplementary online materials, including a dozen complete executable programs, five of which illustrate important new features. 'Programming in Ada' is a must-have for anyone looking to learn the Ada programming language, and will serve as a definitive reference for years to come.

This book focuses on the application of soft computing in materials and manufacturing sectors with the objective to offer an intelligent approach to improve the manufacturing process, material selection and characterization techniques for developing advanced new materials.

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it also discusses how to build AI models, i.e., model training and inference, on edge.

It is widely believed that Artificial Intelligence (AI) and its applications will revolutionize healthcare and medicine. This book provides a comprehensive overview on the recent developments on clinical decision support systems, precision health and data science in medicine.