Deep Learning Technologies for the Sustainable Development Goals

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Author :
Publisher : Springer Nature
ISBN 13 : 9811957231
Total Pages : 254 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Deep Learning Technologies for the Sustainable Development Goals by : Virender Kadyan

Download or read book Deep Learning Technologies for the Sustainable Development Goals written by Virender Kadyan and published by Springer Nature. This book was released on 2023-02-01 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides insights into deep learning techniques that impact the implementation strategies toward achieving the Sustainable Development Goals (SDGs) laid down by the United Nations for its 2030 agenda, elaborating on the promises, limits, and the new challenges. It also covers the challenges, hurdles, and opportunities in various applications of deep learning for the SDGs. A comprehensive survey on the major applications and research, based on deep learning techniques focused on SDGs through speech and image processing, IoT, security, AR-VR, formal methods, and blockchain, is a feature of this book. In particular, there is a need to extend research into deep learning and its broader application to many sectors and to assess its impact on achieving the SDGs. The chapters in this book help in finding the use of deep learning across all sections of SDGs. The rapid development of deep learning needs to be supported by the organizational insight and oversight necessary for AI-based technologies in general; hence, this book presents and discusses the implications of how deep learning enables the delivery agenda for sustainable development.

Artificial Intelligence of Things for Achieving Sustainable Development Goals

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Author :
Publisher : Springer Nature
ISBN 13 : 3031534336
Total Pages : 394 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Artificial Intelligence of Things for Achieving Sustainable Development Goals by : Sanjay Misra

Download or read book Artificial Intelligence of Things for Achieving Sustainable Development Goals written by Sanjay Misra and published by Springer Nature. This book was released on with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning for Sustainable Development

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Author :
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110702517
Total Pages : 214 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Machine Learning for Sustainable Development by : Kamal Kant Hiran

Download or read book Machine Learning for Sustainable Development written by Kamal Kant Hiran and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-07-19 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art of machine learning models is most useful for forecasting and prediction of various sectors for sustainable development.

Emerging Trends in ICT for Sustainable Development

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Author :
Publisher : Springer
ISBN 13 : 9783030534424
Total Pages : 407 pages
Book Rating : 4.5/5 (344 download)

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Book Synopsis Emerging Trends in ICT for Sustainable Development by : Mohamed Ben Ahmed

Download or read book Emerging Trends in ICT for Sustainable Development written by Mohamed Ben Ahmed and published by Springer. This book was released on 2022-02-07 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features original research and recent advances in ICT fields related to sustainable development. Based the International Conference on Networks, Intelligent systems, Computing & Environmental Informatics for Sustainable Development, held in Marrakech in April 2020, it features peer-reviewed chapters authored by prominent researchers from around the globe. As such it is an invaluable resource for courses in computer science, electrical engineering and urban sciences for sustainable development. This book covered topics including • Green Networks • Artificial Intelligence for Sustainability• Environment Informatics• Computing Technologies

Artificial Intelligence of Things for Achieving Sustainable Development Goals

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Author :
Publisher : Springer
ISBN 13 : 9783031534324
Total Pages : 0 pages
Book Rating : 4.5/5 (343 download)

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Book Synopsis Artificial Intelligence of Things for Achieving Sustainable Development Goals by : Sanjay Misra

Download or read book Artificial Intelligence of Things for Achieving Sustainable Development Goals written by Sanjay Misra and published by Springer. This book was released on 2024-04-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers various topics and trends regarding Artificial Intelligence (AI), Internet of Things (IoT), and their applications in society, industry, and environment for achieving Sustainable Development Goals (SDGs) suggested by the United Nations. Additionally, it discusses their advancements and fusion as well as the realization of Artificial Intelligence of Things (AIoT). The book aims to provide an overview and recent research into the fusion, integration, advancements, and impact of these technologies in the context of SDGs achievement. The topics include the applications of AI, IoT, big data, AI-based and IoT-based cloud computing, machine learning and deep learning techniques, and blockchain among others for achieving SDGs. It also presents findings and discussions on potential application domains, addresses open issues and challenges, offers solutions, and provides suggestions for future research for achieving SDGs. The chapters are clustered, according to particular SDGs or areas of focus, into: i) the realization of AIoT for SDGs, ii) the role of AIoT in achieving society and wellbeing-related SDGs, iii) the fulfillment of industrial sectors, infrastructure, and economy-related SDGs through AIoT, and iv) the use of AIoT to aid natural resources and environment-related SDGs. The book assists researchers, practitioners, professionals, and academicians of various scientific fields in exploring and better understanding these state-of-the-art technologies, their advancements, impact, future potentials and benefits, and their role in successfully achieving SDGs. The book: · Offers an in-depth overview of AIoT for achieving SDGs. · Presents the fusion of AI and IoT for bringing a significant change in everyday life and fulfilling SDGs. · Highlights innovative solutions and results of AIoT integration in several domains for achieving SDGs. · Showcases the influence of AIoT on promoting and improving sustainability in the context of SDGs. · Discusses the issues, benefits, solutions, and impact of AIoT in society, industry, and environment for achieving SDGs.

Artificial Intelligence in Healthcare

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Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications

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Author :
Publisher : Springer Nature
ISBN 13 : 3030519201
Total Pages : 310 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications by : Aboul Ella Hassanien

Download or read book Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2020-08-31 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development.

Sustainable Intelligent Systems

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Publisher : Springer Nature
ISBN 13 : 9813349018
Total Pages : 282 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Sustainable Intelligent Systems by : Amit Joshi

Download or read book Sustainable Intelligent Systems written by Amit Joshi and published by Springer Nature. This book was released on 2021-03-06 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses issues related to ICT, intelligent systems, data science, AI, machine learning, sustainable development and overall their impacts on sustainability. It provides an overview of the technologies of future. The book also discusses novel intelligent algorithms and their applications to move from a data-centric world to sustainable world. It includes research paradigms on sustainable development goals and societal impacts. The book provides an overview of cutting-edge techniques toward sustainability and ideas to help researchers who want to understand the challenges and opportunities of using smart management perspective for sustainable society. It serves as a reference to wide ranges of readers from computer science, data analysts, AI technocrats and management researchers.

Education for Sustainable Development Goals

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Author :
Publisher : UNESCO Publishing
ISBN 13 : 9231002090
Total Pages : 67 pages
Book Rating : 4.2/5 (31 download)

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Book Synopsis Education for Sustainable Development Goals by : Rieckmann, Marco

Download or read book Education for Sustainable Development Goals written by Rieckmann, Marco and published by UNESCO Publishing. This book was released on 2017-03-20 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications

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Author :
Publisher : Springer Nature
ISBN 13 : 9819920582
Total Pages : 436 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications by : Amit Kumar

Download or read book Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications written by Amit Kumar and published by Springer Nature. This book was released on 2023-09-16 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes peer reviewed articles from the 4th International Conference on Data Science, Machine Learning and Applications, 2022, held at the Hyderabad Institute of Technology & Management on 26-27th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.

Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

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Publisher : Springer Nature
ISBN 13 : 3031430093
Total Pages : 337 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough by : Vinit Kumar Gunjan

Download or read book Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2024-01-13 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.

Disruptive Technologies for Sustainable Development

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Author :
Publisher : CRC Press
ISBN 13 : 1040130348
Total Pages : 298 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Disruptive Technologies for Sustainable Development by : G. Nagappan

Download or read book Disruptive Technologies for Sustainable Development written by G. Nagappan and published by CRC Press. This book was released on 2024-06-07 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: We feel greatly honoured to have been assigned the job of organizing the AICTE Sponsored International Conference on Application of AI, ML, DL, Big Data on Recent Societal Issues (ICARSI’2023) on April 21 & April 22,2023 at Saveetha Engineering College. The international conference is a platform that brings together the brightest minds from across the globe to share their ideas and insights on the recent societal issues with Artificial intelligence, Machine Learning, Deep Learning, Big data and emerging technologies. With an aim to promote collaboration and foster innovation, this conference promises to be a melting pot of ideas and knowledge sharing.

Measuring Distance to the SDG Targets 2019

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Publisher : Org. for Economic Cooperation & Development
ISBN 13 : 9789264480940
Total Pages : 144 pages
Book Rating : 4.4/5 (89 download)

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Book Synopsis Measuring Distance to the SDG Targets 2019 by : Oecd

Download or read book Measuring Distance to the SDG Targets 2019 written by Oecd and published by Org. for Economic Cooperation & Development. This book was released on 2019-05-20 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:

AI-Assisted Special Education for Students With Exceptional Needs

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Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 351 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AI-Assisted Special Education for Students With Exceptional Needs by : Kumar, Ashish

Download or read book AI-Assisted Special Education for Students With Exceptional Needs written by Kumar, Ashish and published by IGI Global. This book was released on 2023-10-02 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI-Assisted Special Education for Students With Exceptional Needs is a comprehensive and insightful exploration of the intersection between special education and artificial intelligence (AI). This book delves into the fundamental principles, historical background, and current challenges faced in providing effective education to students with special needs. It compares traditional education methods with special education practices and highlights the limitations of conventional classrooms in addressing the diverse learning difficulties of exceptional students. The book also explores the impact of AI-based special education on both educators and students, providing valuable insights and strategies for stakeholders to adopt and implement these technologies effectively. Legal aspects surrounding the right to education for disabled individuals are discussed, ensuring a comprehensive understanding of the legal framework supporting special education initiatives. Real-world case studies and success stories serve as inspiration, illustrating the transformative potential of AI in special education. Featuring contributions from academicians and professionals from esteemed organizations, this book provides hands-on chapters that cover topics such as research challenges, data analysis, machine learning, intelligent learning environments, IoT wearable devices, comprehensive systems with intelligent teacher assistance, parental and societal roles, and the prospects of AI-assisted special education. Whether educator, mentor, training professional, researcher, or student, AI-Assisted Special Education for Students With Exceptional Needs offers a wealth of knowledge and practical insights.

Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries

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Author :
Publisher : IGI Global
ISBN 13 : 166848787X
Total Pages : 570 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries by : Goel, Neha

Download or read book Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries written by Goel, Neha and published by IGI Global. This book was released on 2023-07-03 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and competitiveness in this fast-paced digital era transformation. ML is the key tool for fast processing and decision making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. IoT technology has proven efficient in solving many real-world problems, and ML algorithms combined with IoT means the fusion of product and intelligence to achieve better automation, efficiency, productivity, and connectivity. The Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries highlights the importance of ML for IoT’s success and diverse ML-powered IoT applications. This book addresses the problems and challenges in energy, industry, and healthcare and solutions proposed for ML-enabled IoT and new algorithms in ML. It further addresses their accuracy for existing real-time applications. Covering topics such as agriculture, pattern recognition, and smart applications, this premier reference source is an essential resource for engineers, scientists, educators, students, researchers, and academicians.

Information and Communications for Development 2018

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Publisher : World Bank Publications
ISBN 13 : 1464813558
Total Pages : 174 pages
Book Rating : 4.4/5 (648 download)

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Book Synopsis Information and Communications for Development 2018 by : World Bank

Download or read book Information and Communications for Development 2018 written by World Bank and published by World Bank Publications. This book was released on 2018-11-08 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Information and Communications for Development series looks in depth at how information and communications technologies are affecting economic growth in developing countries. This new report, the fourth in the series, examines the topic of data-driven development, or how better information makes for better policies. The objective is to assist developing-country firms and governments in unlocking the value of the data they hold for better service delivery and decision making and to empower individuals to take more control of their personal data. We are undoubtedly experiencing a data revolution in which our ability to generate, process, and utilize information has been magnified many times over by the machines that we increasingly rely upon. This report is about how the data revolution is changing the behavior of governments, individuals, and firms and how these changes affect the nature of development: economic, social, and cultural. How can governments extract value from data to improve service delivery in the same way that private companies have learned to do for profit? Is it feasible for individuals to take ownership of their own data and to use it to improve their livelihoods and quality of life? Can developing-country firms compete with the internet majors on their own turf and be even more innovative in their use of data to serve local customers better? Though the report is aimed primarily at government policy makers, it also has great relevance for individuals concerned about how their personal data is used and how the data revolution might affect their future job prospects. For private sector firms, particularly those in developing countries, the report suggests how they might expand their markets and improve their competitive edge. For development professionals, the report provides guidance on how they might use data more creatively to tackle long-standing global challenges, such as eliminating extreme poverty, promoting shared prosperity, or mitigating the effects of climate change. The report’s chapters explore different themes associated with the supply of data, the technology underlying it, and the demand for it. An overview chapter focuses on government use of data and presentation of definitions. Part I of the report then looks at the “supply side†? of the data sector, with chapters on data connectivity and capacity (where data comes from, how it is stored, and where it goes) and data technology (specifically big data analytics and artificial intelligence) and how this is contributing to development. Part II looks at the sector’s “demand side,†? with a chapter on people’s use of data and another that examines how firms use digital platforms in the data economy and how that contributes to competitiveness. Part III brings together the policy implications for developing-country stakeholders, with a chapter considering government policies for data, including data protection and privacy. A closing Data Notes appendix looks at statistical indicators associated with the use of data and presents the 2018 update of the Digital Adoption Index (DAI), a composite indicator introduced in the 2016 World Development Report: Digital Dividends.

Emerging Trends in Disruptive Technology Management for Sustainable Development

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Author :
Publisher : CRC Press
ISBN 13 : 1000712052
Total Pages : 77 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Emerging Trends in Disruptive Technology Management for Sustainable Development by : Rik Das

Download or read book Emerging Trends in Disruptive Technology Management for Sustainable Development written by Rik Das and published by CRC Press. This book was released on 2019-11-05 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interdisciplinary approaches using Machine Learning and Deep Learning techniques are smartly addressing real life challenges and have emerged as an inseparable element of disruption in current times. Applications of Disruptive Technology in Management practices are an ever interesting domain for researchers and professionals. This volume entitled Emerging Trends in Disruptive Technology Management for Sustainable Development has attempted to collate five different interesting research approaches that have innovatively reflected diverse potential of disruptive trends in the era of 4th. Industrial Revolution. The uniqueness of the volume is going to cater the entrepreneurs and professionals in the domain of artificial intelligence, machine learning, deep learning etc. with its unique propositions in each of the chapters. The volume is surely going to be a significant source of knowledge and inspiration to those aspiring minds endeavouring to shape their futures in the area of applied research in machine learning and computer vision. The expertise and experiences of the contributing authors to this volume is encompassing different fields of proficiencies. This has set an excellent prelude to discover the correlation among multidisciplinary approaches of innovation. Covering a broad range of topics initiating from IoT based sustainable development to crowd sourcing concepts with a blend of applied machine learning approaches has made this volume a must read to inquisitive wits. Features Assorted approaches to interdisciplinary research using disruptive trends Focus on application of disruptive technology in technology management Focus on role of disruptive technology on sustainable development Promoting green IT with disruptive technology The book is meant to benefit several categories of students and researchers. At the students' level, this book can serve as a treatise/reference book for the special papers at the masters level aimed at inspiring possibly future researchers. Newly inducted PhD aspirants would also find the contents of this book useful as far as their compulsory course-works are concerned. At the researchers' level, those interested in interdisciplinary research would also be benefited from the book. After all, the enriched interdisciplinary contents of the book would always be a subject of interest to the faculties, existing research communities and new research aspirants from diverse disciplines of the concerned departments of premier institutes across the globe. This is expected to bring different research backgrounds (due to its cross platform characteristics) close to one another to form effective research groups all over the world. Above all, availability of the book should be ensured to as much universities and research institutes as possible through whatever graceful means it may be. Hope this volume will cater as a ready reference to your quest for diving deep into the ocean of technology management for 4th. Industrial Revolution.