Data og IT

This book is dedicated to addressing the major challenges in fighting diseases and psychological issues using AI. Challenges vary from cost and complexity to availability and accuracy. The aim of this book is hence to focus on both the design and implementation aspects of the AI-based approaches in proposed health-related solutions.

This book focuses on understanding the wide range of opportunities as well as the spectrum of challenges AI brings in different business contexts and society at large.

This reference text presents the important components for grasping the potential of social computing with an emphasis on concerns, challenges, and benefits of the social platform in depth. It discusses detection of social-cyber issues, including hate speech, cyberbullying, etc. using deep learning, natural language processing, etc.

This book discusses Big Data, Cloud Computing, and IoT, with a focus on the benefits and implementation problems. In addition, it examines the many structures and applications pertinent to these disciplines. Also, Big Data, Cloud Computing, and IoT are proposed as possible study avenues.

This book provides an accessible introduction to thermal physics with computational approaches that complement the traditional mathematical treatments of classical thermodynamics and statistical mechanics.

Life's context is uncertain environmental information, communication is its means, and genes are its tools. Evolution is its yield as continuous non-random self-referential cellular problem-solving.

The fields of Artificial Intelligence and Machine Learning have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications. This book represents a key reference for anybody interested in the intersection between Mathematics and AI/ML and provides an overview of the current research streams.

This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached maturity.

This book discusses the advancements in IoT and Cyber-Physical Systems Forensics. This book not only presents numerous case stories from a global perspective, but it also compiles a large amount of literature and research from a database.

This book discusses the problems and difficulties that the facilitators of the supply chain confront, in addition to the possible solutions to such problems and difficulties. Also, a multifaceted perspective for the general public, including topics such as computer science, the food business, hotel management, fashion, medical, etc.

Written by experts in academia and industry Artificial Intelligence and Modeling for Water Sustainability: Global Challenges helps governments, industries, and homeowners address water pollution problems more quickly and efficiently, and gain better insight into the implementation of more effective remedial measures.

The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the field of industrial engineering

Computer vision and image analysis play an essential role in 4.0 IR as machine vision and image analysis are indispensable components of every automated environment. Modern machine vision and image analysis techniques play key roles in automation and quality assurance.

This book covers computational statistics-based approaches for Artificial Intelligence. The aim of this book is to provide comprehensive coverage of the fundamentals through the applications of the different kinds of mathematical modelling and statistical techniques and describing their applications in different Artificial Intelligence systems.

This book covers different aspects of Internet of Drones (IoD) including fundamentals in drone design, deployment challenges, and development of applications. It explains relevant concepts and processes in designing an efficient system, and architecture along with different applications and its implementations in different scenarios.

Artificial Intelligence (AI) in general and machine learning (ML) and deep learning (DL) in particular and related digital technologies are a couple of fledging paradigms that the next generation healthcare services are sprouting towards.

Edited by medical geographer and GIS Professor Dr. Esra Ozdenerol, this book highlights key GIS capabilities and lessons learned during the COVID-19 response and can help communities prepare for the next crisis. 12 global projects are discussed with a multidisciplinary approach, illustrating the role of GIS in crisis management.

This book will throw light on recent developments in latest field and will be of great interest to know various applications area for the sustainable development. This book mainly issue focuses on state of art including protocol design and low-cost sensor design for sustainable development of society using Internet of Things (IoT).

This book gives readers a practical introduction to machine learning and sensing techniques, their design and ultimately specific applications that could improve food production. It shows how these sensing and computing systems are suitable for process implementation in food factories.

Posthuman Gaming: Avatars, Gamers, and Entangled Subjectivities explores the relationship between avatar and gamer in the massively multiplayer online roleplaying game World of Warcraft, to examine notions of entangled subjectivity, affects and embodiments - what it means and how it feels to be posthuman.

The aim of the book Driving 5G Mobile communications with Artificial Intelligence towards 6G is to present current work and directions of continuously innovation and development in multimedia communications with a focus on services and users

This book shows how diverse data models and web technologies can be created and used for the built environment. This book will serve as a guide and reference for experts and professionals in AEC computing and digital construction including Master students, PhD researchers, and junior to senior IT-oriented AEC professionals.

This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. It concentrates on cutting-edge research in DL and GAN which includes creating new tools and methods for processing text, images, and audio.

This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts: 1. DL for vehicle safety and security, 2. DL for effective vehicle communications, 3. DL for vehicle control, 4. DL for information management, 5. Other applications.