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Artificial intelligence

See below for a selection of the latest books from Artificial intelligence category. Presented with a red border are the Artificial intelligence books that have been lovingly read and reviewed by the experts at Lovereading. With expert reading recommendations made by people with a passion for books and some unique features Lovereading will help you find great Artificial intelligence books and those from many more genres to read that will keep you inspired and entertained. And it's all free!

Machine Learning and Big Data

Machine Learning and Big Data

Author: Uma N. Dulhare Format: Hardback Release Date: 29/10/2020

Currently many different application areas for Big Data (BD) and Machine Learning (ML) are being explored. These promising application areas for BD/ML are the social sites, search engines, multimedia sharing sites, various stock exchange sites, online gaming, online survey sites and various news sites, and so on. To date, various use-cases for this application area are being researched and developed. Software applications are already being published and used in various settings from education and training to discover useful hidden patterns and other information like customer choices and market trends that can help organizations make more informed and customer-oriented business decisions. Combining BD with ML will provide powerful, largely unexplored application areas that will revolutionize practice in Videos Surveillance, Social Media Services, Email Spam and Malware Filtering, Online Fraud Detection, and so on. It is very important to continuously monitor and understand these effects from safety and societal point of view. Hence, the main purpose of this book is for researchers, software developers and practitioners, academicians and students to showcase novel use-cases and applications, present empirical research results from user-centered qualitative and quantitative experiments of these new applications, and facilitate a discussion forum to explore the latest trends in big data and machine learning by providing algorithms which can be trained to perform interdisciplinary techniques such as statistics, linear algebra, and optimization and also create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention

Deep Learning

Deep Learning

Author: Andrew Glassner Format: Hardback Release Date: 29/10/2020

AI in Manufacturing and Green Technology

AI in Manufacturing and Green Technology

Author: Sambit Kumar (Gandhi Institute for Education and Technology, India) Mishra Format: Hardback Release Date: 21/10/2020

This book focuses on making the environment sustainable by employing engineering aspects and green computing through concepts of modern education and solutions. It visualizes the potential of artificial intelligence in manufacturing and green technology, enhanced by business activities and strategies for rapid implementation. This book covers utilization of renewable resources and implementation of the latest energy-generation technologies. It discusses how to save resources from getting depleted in nature, and illustrates the facilitation of green technology in industry with the usage of advanced materials. The book also covers environmental sustainability and the current trends in manufacturing. The book provides basic concepts of green technology along with the technology aspects for researchers, faculty, and students.

Computational Models for Cognitive Vision

Computational Models for Cognitive Vision

Author: Hiranmay Ghosh Format: Paperback / softback Release Date: 15/10/2020

Learn how to apply cognitive principles to the problems of computer vision Computational Models for Cognitive Vision formulates the computational models for the cognitive principles found in biological vision, and applies those models to computer vision tasks. Such principles include perceptual grouping, attention, visual quality and aesthetics, knowledge-based interpretation and learning, to name a few. The author's ultimate goal is to provide a framework for creation of a machine vision system with the capability and versatility of the human vision. Written by Dr. Hiranmay Ghosh, the book takes readers through the basic principles and the computational models for cognitive vision, Bayesian reasoning for perception and cognition, and other related topics, before establishing the relationship of cognitive vision with the multi-disciplinary field broadly referred to as artificial intelligence . The principles are illustrated with diverse application examples in computer vision, such as computational photography, digital heritage and social robots. The author concludes with suggestions for future research and salient observations about the state of the field of cognitive vision. Other topics covered in the book include: - knowledge representation techniques - evolution of cognitive architectures - deep learning approaches for visual cognition Undergraduate students, graduate students, engineers, and researchers interested in cognitive vision will consider this an indispensable and practical resource in the development and study of computer vision.

Soft Computing Applications and Techniques in Healthcare

Soft Computing Applications and Techniques in Healthcare

Author: Ashish (Gyan Ganga Institute of Technology and Sciences, India) Mishra Format: Hardback Release Date: 15/10/2020

This book provides insights into contemporary issues and challenges in soft computing applications and techniques in healthcare. It will be a useful guide to identify, categorise and assess the role of different soft computing techniques for disease, diagnosis and prediction due to technological advancements. The book explores applications in soft computing and covers empirical properties of artificial neural network (ANN), evolutionary computing, fuzzy logic and statistical techniques. It presents basic and advanced concepts to help beginners and industry professionals get up to speed on the latest developments in soft computing and healthcare systems. It incorporates the latest methodologies and challenges facing soft computing, examines descriptive, predictive and social network techniques and discusses analytics tools and their role in providing effective solutions for science and technology. The primary users for the book include researchers, academicians, postgraduate students, specialists and practitioners. Dr. Ashish Mishra is a professor in the Department of Computer Science and Engineering, Gyan Ganga Institute of Technology and Sciences, Jabalpur (M.P), India. He is also a reviewer and Session Chair of IEEE international conferences, CSNT-2015, CICN-2016, CICN2017, INDIACom-2019 ICICC-CONF 2019 and ICTIDS 2019. His research interests include IOT, data mining, cloud computing, image processing, knowledge-based systems and artificial intelligence. He has published nine patents in Intellectual Property in India. He has published four books in the area of data mining, image processing and latex. Dr. G. Suseendran is an assistant professor in the Department of Information Technology, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, Tamil Nadu, India. His research interests include ad-hoc networks, IOT, data mining, cloud computing, image processing, knowledge-based systems and web information exploration. He serves as International Committee Member for international conferences conducted in association with IEEE, Springer and Scopus. He has published more than 60 research papers in various international journals, including Science Citation Index, Scopus, IEEE Access and University Grants Commission of India-approved journals. He has presented 20 papers in various international conferences. Prof. Trung-Nghia Phung was Dean of Faculty of Electronics and Telecommunications, Thai Nguyen University of Information and Communication Technology (ICTU), Thai Nguyen, Vietnam. He is currently an associate professor and head of Academic Affairs, ICTU. He has published more than 60 research papers. He was the recipient of the award for the excellent young researcher (Golden Globe Award) from Ministry of Science and Technology of Vietnam in 2008. His main research interests include speech, audio and biomedical signal processing. He was a co-chair of the International Conference on Advances in Information and Communication Technology 2016 (ICTA 2016) and a section chair of the 4th International Conference on Information System Design and Intelligent Applications (INDIA 2017).

Internet of Everything and Big Data

Internet of Everything and Big Data

Author: Salah-ddine (Ibn Zohr University, Morocco) Krit Format: Hardback Release Date: 12/10/2020

There currently is no in-depth book dedicated to the challenge of the Internet of Everything and Big Data technologies in smart cities. Humankind today is confronting a critical worldwide portability challenge and the framework that moves cities must keep pace with the innovation. Internet of Everything and Big Data: Major Challenges in Smart Cities reviews the applications, technologies, standards, and other issues related to smart cities. This book is dedicated to addressing the major challenges in realizing smart cities and sensing platforms in the era of Big Data cities and Internet of Everything. Challenges vary from cost and energy efficiency to availability and service quality. This book examines security issues and challenges, addresses the total information science challenges, covers exploring and creating IoT environment-related sales adaptive systems, and investigates basic and high-level concepts using the latest techniques implemented by researchers and industrial companies. The book is written for analysts, researchers, and specialists who are working on the future generation of the technologies. It will serve as a valuable guide for those in the industry, and students as well.

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

Author: K. Gayathri (Anna University Chennai) Devi Format: Hardback Release Date: 08/10/2020

Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems. The book focuses on concepts and techniques used to run tasks in an automated manner. It discusses computational intelligence in the detection and diagnosis of clinical and biomedical images, covers the automation of a system through machine learning and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural language processing, computer vision, and AI approaches in real-time applications. Academic scientists, researchers, and students in the various domains of computer science engineering, electronics and communication engineering, and information technology, as well as industrial engineers, biomedical engineers, and management, will find this book useful. By the end of this book, you will understand the fundamentals of AI. Various case studies will develop your adaptive thinking to solve real-time AI problems. Features Includes AI-based decision-making approaches Discusses computational intelligence in the detection and diagnosis of clinical and biomedical images Covers automation of systems through machine learning and deep learning approaches and its implications to the real world Presents data analytics and mining for decision-support applications Offers case-based reasoning

Analyzing Future Applications of AI, Sensors, and Robotics in Society

Analyzing Future Applications of AI, Sensors, and Robotics in Society

Author: Thomas Heinrich Musiolik Format: Hardback Release Date: 30/09/2020

The rise of artificial intelligence and its countless branches have caused many professional industries to rethink their traditional methods of practice and develop new techniques to keep pace with technological advancement. The continued use of intelligent technologies in the professional world has propelled researchers to contemplate future opportunities and challenges that artificial intelligence may withhold. Significant research is a necessity for understanding future trends of artificial intelligence and the preparation of prospective issues. Analyzing Future Applications of AI, Sensors, and Robotics in Society provides emerging research exploring the potential uses and future challenges of intelligent technological advancements and their impact in education, finance, politics, business, healthcare, and engineering. Featuring coverage on a broad range of topics such as neuronal networks, cognitive computing, and e-health, this book is ideally designed for practitioners, researchers, scientists, executives, strategists, policymakers, academicians, government officials, developers, and students seeking current research on future societal uses of intelligent technology.

Analyzing Future Applications of AI, Sensors, and Robotics in Society

Analyzing Future Applications of AI, Sensors, and Robotics in Society

Author: Thomas Heinrich Musiolik Format: Paperback / softback Release Date: 30/09/2020

The rise of artificial intelligence and its countless branches have caused many professional industries to rethink their traditional methods of practice and develop new techniques to keep pace with technological advancement. The continued use of intelligent technologies in the professional world has propelled researchers to contemplate future opportunities and challenges that artificial intelligence may withhold. Significant research is a necessity for understanding future trends of artificial intelligence and the preparation of prospective issues. Analyzing Future Applications of AI, Sensors, and Robotics in Society provides emerging research exploring the potential uses and future challenges of intelligent technological advancements and their impact in education, finance, politics, business, healthcare, and engineering. Featuring coverage on a broad range of topics such as neuronal networks, cognitive computing, and e-health, this book is ideally designed for practitioners, researchers, scientists, executives, strategists, policymakers, academicians, government officials, developers, and students seeking current research on future societal uses of intelligent technology.

User Experience in Web 2.0 Technologies and Its Impact on Universities and Businesses

User Experience in Web 2.0 Technologies and Its Impact on Universities and Businesses

Author: Jean-Eric Pelet Format: Hardback Release Date: 30/09/2020

As various areas of discipline continue to progress into the digital age, diverse modes of technology are being experimented with and ultimately implemented into common practices. Mobile products and interactive devices, specifically, are being tested within educational environments as well as corporate business in support of online learning and e-commerce initiatives. There is a boundless stock of factors that play a role in successfully implementing web technologies and user-driven learning strategies, which require substantial research for executives and administrators in these fields. User Experience in Web 2.0 Technologies and Its Impact on Universities and Businesses is an essential reference source that presents research on the strategic role of user experience in e-learning and e-commerce at the level of the global economy, networks and organizations, teams and work groups, and information systems. The book assesses the impact of e-learning and e-commerce technologies on different organizations, including higher education institutions, multinational corporations, health providers, and business companies. Featuring research on topics such as ubiquitous interfaces, computer graphics, and image processing, this book is ideally designed for program developers and designers, researchers, practitioners, IT professionals, executives, academicians, and students.

User Experience in Web 2.0 Technologies and Its Impact on Universities and Businesses

User Experience in Web 2.0 Technologies and Its Impact on Universities and Businesses

Author: Jean-Eric Pelet Format: Paperback / softback Release Date: 30/09/2020

As various areas of discipline continue to progress into the digital age, diverse modes of technology are being experimented with and ultimately implemented into common practices. Mobile products and interactive devices, specifically, are being tested within educational environments as well as corporate business in support of online learning and e-commerce initiatives. There is a boundless stock of factors that play a role in successfully implementing web technologies and user-driven learning strategies, which require substantial research for executives and administrators in these fields. User Experience in Web 2.0 Technologies and Its Impact on Universities and Businesses is an essential reference source that presents research on the strategic role of user experience in e-learning and e-commerce at the level of the global economy, networks and organizations, teams and work groups, and information systems. The book assesses the impact of e-learning and e-commerce technologies on different organizations, including higher education institutions, multinational corporations, health providers, and business companies. Featuring research on topics such as ubiquitous interfaces, computer graphics, and image processing, this book is ideally designed for program developers and designers, researchers, practitioners, IT professionals, executives, academicians, and students.

Examining Quantum Algorithms for Quantum Image Processing

Examining Quantum Algorithms for Quantum Image Processing

Author: HaiSheng Li Format: Paperback / softback Release Date: 30/09/2020

An emerging interdisciplinary field of study in the realm of academia has been quantum computing and its various applications. The rapid rate of progress of this advancing technology as well as its multi-faceted nature has created a vast amount of potential research material for professionals and students in numerous disciplines. Its specific ability to improve upon traditional algorithms for image processing is seizing the attention of researchers in this field, as there remains a lack of exploration into this precise area. Examining Quantum Algorithms for Quantum Image Processing is an essential reference that provides research on quantum Fourier transform, quantum wavelet transform, and quantum wavelet packet transform as tool algorithms in image processing and quantum computing. It provides a comprehensive look into quantum image algorithms to establish frameworks of quantum image processing. While highlighting topics including geometric transformation, quantum compression ratio, and storage circuits, this book is ideally designed for researchers, scientists, developers, academicians, programmers, practitioners, engineers, and upper graduate students.