IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges

IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges
Author: Pradeep Kumar Singh
Publisher: Springer Nature
Total Pages: 386
Release: 2023-08-23
Genre: Computers
ISBN: 3031357833

This book focuses mainly on the usages of three key technologies: IoT, big data, and AI for various day to day applications. Further, it explores the possibilities of future research based on the usages of latest information systems. This book explores the current research and challenges to be faced by different researchers for building intelligent information solutions using key technologies; IoT, big data, and AI in improving quality of lives in smart cities and explores the limitations and capabilities of these three key computing technologies. The book is organized into three major parts; each part includes chapters exploring a specific topic, and there are: PART-1: IoT for Real World Solutions , (ii) Part-2: Big Data And Cloud Computing for Innovative Solutions For Day to Day Lives, and (iii) Part-3 Artificial Intelligence for Everyday Lives. This book may be useful to the scientists, scholars, and researchers who are working in the field of computer science and engineering, and communication engineering, along with the students in these subjects who are working or willing to work on IoT, big data, and AI technologies for improving quality of everyday life. Specialists as well as student readers find the book chapters encouraging and helpful. IoT, data science & cloud, and AI all are the undergraduate (UG/ bachelor) subjects. Use of these three key technologies for building new applications for better world is helpful for UG and postgraduate (PG/ MS) Programmes students (as an elective and core course). This book may also be very useful for the Ph.D. (research scholars) during their course work and may be used as an instrument to identify the different challenges associated with information systems.

Artificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare
Author: Miltiadis Lytras
Publisher: Academic Press
Total Pages: 292
Release: 2021-10-22
Genre: Medical
ISBN: 0128220627

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. - Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine - Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them - Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

"Smart Technologies" for Society, State and Economy

Author: Elena G. Popkova
Publisher: Springer Nature
Total Pages: 1766
Release: 2020-10-15
Genre: Technology & Engineering
ISBN: 3030591263

This proceedings book presents a comprehensive view of “smart” technologies and perspectives of their application in various areas of economic activity. The authors of the book combined the results of the cutting-edge research on the topic of “smart” technologies in the digital economy and Industry 4.0 and developed a unified scientific concept. The current experience has been considered, and the prospects for the application of “smart” technologies in society to promote social advance have been identified. “Smart” technologies in public administration and law, as well as the experience in development of e-government, have been examined. “Smart” technologies in business activity have been studied, and the transition from digital business to business 4.0 has been justified. The book contains the collection of the best works following the results of the 13th International Research-to-Practice Conference “Smart Technologies” for society, state and economy which was run by the Institute of Scientific Communications (ISC) and was held on July 2–3, 2020. The target audience of this book includes researchers investigating fundamental and applied problems of development of “smart” technologies, as well as concerned parties outside the academic community, in particular, representatives of the digital society, high-tech business entities and officials regulating the digital economy and Industry 4.0.

Governing Carbon Markets with Distributed Ledger Technology

Governing Carbon Markets with Distributed Ledger Technology
Author: Alastair Marke
Publisher: Cambridge University Press
Total Pages: 217
Release: 2022-08-25
Genre: Law
ISBN: 1108911447

Carbon markets involve complex governance challenges, such as ensuring transparency of emissions, facilitating as well as recording transactions, overseeing market activity and preventing abuse. Conventionally, these have been addressed with a combination of regulatory, procedural and technical structures that impose significant burdens on market participants and administrators while remaining vulnerable to system shocks and illicit practices. Distributed Ledger Technology (DLT) has the potential to address these problems. This volume offers the first book-length exploration of how carbon markets can be governed using DLT, offering conceptual and theoretical analysis, practical case studies, and a roadmap for implementation of a DLT-based architecture in major existing and emerging carbon markets. It surveys existing expertise on distributed ledger technology, provides progress updates from industry professionals, and shows how this technology could offer a cost-effective and sustainable solution to double-counting and other governance concerns identified as major challenges in the implementation of carbon markets.

Proceedings of the 6th International Conference on Construction, Architecture and Technosphere Safety

Proceedings of the 6th International Conference on Construction, Architecture and Technosphere Safety
Author: Andrey A. Radionov
Publisher: Springer Nature
Total Pages: 618
Release: 2023-03-02
Genre: Technology & Engineering
ISBN: 3031211200

This book highlights recent findings in civil and environmental engineering and urban planning, and provides an overview of the state of the art in these fields, mainly in Russia and Eastern Europe. A broad range of topics and issues in modern engineering are discussed, including construction, buildings and structures, advanced materials, innovative technology, methods and techniques in civil engineering, heating, gas supply, water supply and sewerage, foundation engineering, BIM, structural reliability, durability and monitoring, special and unique structures construction (bridge, tunnel, road, railway engineering), design and construction of hydraulic structures, concrete engineering, urban regeneration and sustainable development, urban transport system, engineering structure safety and disaster prevention, water resources engineering, water and wastewater treatment, recycling and reuse of wastewater, etc. The volume gathers selected papers from the 6th International Conference on Construction, Architecture and Technosphere Safety (ICCATS), held in Sochi, Russia in September 2022. The authors are experts in various fields of engineering, and all papers have been carefully reviewed.

Blockchain, Big Data and Machine Learning

Blockchain, Big Data and Machine Learning
Author: Neeraj Kumar
Publisher: CRC Press
Total Pages: 286
Release: 2020-09-24
Genre: Computers
ISBN: 1000163512

Present book covers new paradigms in Blockchain, Big Data and Machine Learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. Recent research of security based on big data, blockchain and machine learning has been explained through actual work by practitioners and researchers, including their technical evaluation and comparison with existing technologies. The theoretical background and experimental case studies related to real-time environment are covered as well. Aimed at Senior undergraduate students, researchers and professionals in computer science and engineering and electrical engineering, this book: Converges Blockchain, Big Data and Machine learning in one volume. Connects Blockchain technologies with the data centric applications such Big data and E-Health. Easy to understand examples on how to create your own blockchain supported by case studies of blockchain in different industries. Covers big data analytics examples using R. Includes lllustrative examples in python for blockchain creation.

Artificial Intelligence and Smart Agriculture Technology

Artificial Intelligence and Smart Agriculture Technology
Author: Utku Kose
Publisher: CRC Press
Total Pages: 319
Release: 2022-06-27
Genre: Computers
ISBN: 1000604349

This book was created with the intention of informing an international audience about the latest technological aspects for developing smart agricultural applications. As artificial intelligence (AI) takes the main role in this, the majority of the chapters are associated with the role of AI and data analytics components for better agricultural applications. The first two chapters provide alternative, wide reviews of the use of AI, robotics, and the Internet of Things as effective solutions to agricultural problems. The third chapter looks at the use of blockchain technology in smart agricultural scenarios. In the fourth chapter, a future view is provided of an Internet of Things-oriented sustainable agriculture. Next, the fifth chapter provides a governmental evaluation of advanced farming technologies, and the sixth chapter discusses the role of big data in smart agricultural applications. The role of the blockchain is evaluated in terms of an industrial view under the seventh chapter, and the eighth chapter provides a discussion of data mining and data extraction, which is essential for better further analysis by smart tools. The ninth chapter evaluates the use of machine learning in food processing and preservation, which is a critical issue for dealing with issues concerns regarding insufficient foud sources. The tenth chapter also discusses sustainability, and the eleventh chapter focuses on the problem of plant disease prediction, which is among the critical agricultural issues. Similarly, the twelfth chapter considers the use of deep learning for classifying plant diseases. Finally, the book ends with a look at cyber threats to farming automation in the thirteenth chapter and a case study of India for a better, smart, and sustainable agriculture in the fourteenth chapter. This book presents the most critical research topics of today’s smart agricultural applications and provides a valuable view for both technological knowledge and ability that will be helpful to academicians, scientists, students who are the future of science, and industrial practitioners who collaborate with academia.

AI-Centric Modeling and Analytics

AI-Centric Modeling and Analytics
Author: Alex Khang
Publisher: CRC Press
Total Pages: 356
Release: 2023-12-06
Genre: Technology & Engineering
ISBN: 1003815383

This book shares new methodologies, technologies, and practices for resolving issues associated with leveraging AI-centric modeling, data analytics, machine learning-aided models, Internet of Things-driven applications, and cybersecurity techniques in the era of Industrial Revolution 4.0. AI-Centric Modeling and Analytics: Concepts, Technologies, and Applications focuses on how to implement solutions using models and techniques to gain insights, predict outcomes, and make informed decisions. This book presents advanced AI-centric modeling and analysis techniques that facilitate data analytics and learning in various applications. It offers fundamental concepts of advanced techniques, technologies, and tools along with the concept of real-time analysis systems. It also includes AI-centric approaches for the overall innovation, development, and implementation of business development and management systems along with a discussion of AI-centric robotic process automation systems that are useful in many government and private industries. This reference book targets a mixed audience of engineers and business analysts, researchers, professionals, and students from various fields.