Deep Learning Technologies For The Sustainable Development Goals

Author : Virender Kadyan,T. P. Singh,Chidiebere Ugwu
Publisher : Springer Nature
Page : 254 pages
File Size : 47,5 Mb
Release : 2023-02-01
Category : Technology & Engineering
ISBN : 9789811957239

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Deep Learning Technologies for the Sustainable Development Goals by Virender Kadyan,T. P. Singh,Chidiebere Ugwu Pdf

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.

Author : Sanjay Misra
Publisher : Springer Nature
Page : 394 pages
File Size : 43,9 Mb
Release : 2024-05-19
Category : Electronic
ISBN : 9783031534331

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Artificial Intelligence of Things for Achieving Sustainable Development Goals by Sanjay Misra Pdf

Author : Kamal Kant Hiran,Deepak Khazanchi,Ajay Kumar Vyas,Sanjeevikumar Padmanaban
Publisher : Walter de Gruyter GmbH & Co KG
Page : 214 pages
File Size : 45,6 Mb
Release : 2021-07-19
Category : Computers
ISBN : 9783110702514

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Machine Learning for Sustainable Development by Kamal Kant Hiran,Deepak Khazanchi,Ajay Kumar Vyas,Sanjeevikumar Padmanaban Pdf

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.

Author : Amit Joshi,Atulya K. Nagar,Gabriela Marín-Raventós
Publisher : Springer Nature
Page : 282 pages
File Size : 49,9 Mb
Release : 2021-03-06
Category : Technology & Engineering
ISBN : 9789813349018

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Sustainable Intelligent Systems by Amit Joshi,Atulya K. Nagar,Gabriela Marín-Raventós Pdf

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.

Author : Mohamed Ben Ahmed,Sehl Mellouli,Luis Braganca,Boudhir Anouar Abdelhakim,Kwintiana Ane Bernadetta
Publisher : Springer
Page : 407 pages
File Size : 46,6 Mb
Release : 2022-02-07
Category : Computers
ISBN : 3030534421

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Emerging Trends in ICT for Sustainable Development by Mohamed Ben Ahmed,Sehl Mellouli,Luis Braganca,Boudhir Anouar Abdelhakim,Kwintiana Ane Bernadetta Pdf

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

Author : Amit Kumar,Vinit Kumar Gunjan,Yu-Chen Hu,Sabrina Senatore
Publisher : Springer Nature
Page : 436 pages
File Size : 51,8 Mb
Release : 2023-09-16
Category : Computers
ISBN : 9789819920587

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Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications by Amit Kumar,Vinit Kumar Gunjan,Yu-Chen Hu,Sabrina Senatore Pdf

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.

Author : Vinit Kumar Gunjan,Jacek M. Zurada,Ninni Singh
Publisher : Springer Nature
Page : 337 pages
File Size : 43,5 Mb
Release : 2024-01-13
Category : Technology & Engineering
ISBN : 9783031430091

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Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough by Vinit Kumar Gunjan,Jacek M. Zurada,Ninni Singh Pdf

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.

Author : David Mhlanga
Publisher : Springer Nature
Page : 433 pages
File Size : 51,8 Mb
Release : 2023-07-24
Category : Business & Economics
ISBN : 9783031377761

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FinTech and Artificial Intelligence for Sustainable Development by David Mhlanga Pdf

This book investigates how smart technologies can play a crucial role in the achievement of the UN Sustainable Development Goals. Focusing on FinTech as well as artificial intelligence, the author demonstrates how one of the most effective strategies for accelerating progress toward global development goals is to make use of emerging technologies to broaden and deepen the scope of action. The first part of the book offers a historical perspective on sustainable development, financial technology and the emergence of the Fourth Industrial Revolution, while the second part looks in-depth at new technologies that can contribute to the realization of the SDGs. The power of AI to reduce poverty and increase food security, the implications of digital innovations for education, the impact of AI on clean transport, the role of FinTech in mitigating climate change, and ways in which AI can aid financial inclusion are all discussed.

Author : Pawan Whig,Nuno Silva,Ahmed A. Elngar,Nagender Aneja,Pavika Sharma
Publisher : Springer Nature
Page : 384 pages
File Size : 55,9 Mb
Release : 2023-12-20
Category : Computers
ISBN : 9783031470554

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Sustainable Development through Machine Learning, AI and IoT by Pawan Whig,Nuno Silva,Ahmed A. Elngar,Nagender Aneja,Pavika Sharma Pdf

This book constitutes the revised selected papers of the First International Conference, ICSD 2023, virtually held in Delhi, India, during July 15–16, 2023. The book comprises 31 full papers that were selected from a total of 129 submissions. It provides insights into the latest research and advancements in sustainable development through the integration of machine learning, artificial intelligence, and IoT technologies. It serves as a valuable resource for researchers, practitioners, and policymakers working in the field of sustainable development.

Author : Aboul Ella Hassanien,Roheet Bhatnagar,Ashraf Darwish
Publisher : Springer Nature
Page : 310 pages
File Size : 46,7 Mb
Release : 2020-08-31
Category : Technology & Engineering
ISBN : 9783030519209

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Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications by Aboul Ella Hassanien,Roheet Bhatnagar,Ashraf Darwish Pdf

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.

Author : Oecd
Publisher : Org. for Economic Cooperation & Development
Page : 144 pages
File Size : 55,5 Mb
Release : 2019-05-20
Category : Electronic
ISBN : 9264480943

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Measuring Distance to the SDG Targets 2019 by Oecd Pdf

Author : Sam Goundar,Archana Purwar,Ajmer Singh
Publisher : CRC Press
Page : 350 pages
File Size : 41,9 Mb
Release : 2022-10-19
Category : Computers
ISBN : 9781000652536

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Applications of Artificial Intelligence, Big Data and Internet of Things in Sustainable Development by Sam Goundar,Archana Purwar,Ajmer Singh Pdf

This book focuses on different algorithms and models related to AI, big data and IoT used for various domains. It enables the reader to have a broader and deeper understanding of several perspectives regarding the dynamics, challenges, and opportunities for sustainable development using artificial intelligence, big data and IoT. Applications of Artificial Intelligence, Big Data and Internet of Things (IoT) in Sustainable Development focuses on IT-based advancements in multidisciplinary fields such as healthcare, finance, bioinformatics, industrial automation, and environmental science. The authors discuss the key issues of security, management, and the realization of possible solutions to hurdles in sustainable development. The reader will master basic concepts and deep insights of various algorithms and models for various applications such as healthcare, finance, education, smart cities, smart cars, among others. Finally, the book will also examine the applications and implementation of big data IoT, AI strategies to facilitate the sustainable development goals set by the United Nations by 2030. This book is intended to help researchers, academics, and policymakers to analyze the challenges and future aspects for maintaining sustainable development through IoT, big data, and AI.

Author : Kumar, Ashish,Nayyar, Anand,Sachan, Rohit Kumar,Jain, Rachna
Publisher : IGI Global
Page : 351 pages
File Size : 49,7 Mb
Release : 2023-10-02
Category : Education
ISBN : 9798369303801

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AI-Assisted Special Education for Students With Exceptional Needs by Kumar, Ashish,Nayyar, Anand,Sachan, Rohit Kumar,Jain, Rachna Pdf

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.

Author : Kumar, Rajeev,Abdul Hamid, Abu Bakar,Binti Ya’akub, Noor Inayah,Sharan, Hari Om,Kumar, Sandeep
Publisher : IGI Global
Page : 295 pages
File Size : 49,5 Mb
Release : 2024-02-09
Category : Business & Economics
ISBN : 9798369317235

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Sustainable Development in AI, Blockchain, and E-Governance Applications by Kumar, Rajeev,Abdul Hamid, Abu Bakar,Binti Ya’akub, Noor Inayah,Sharan, Hari Om,Kumar, Sandeep Pdf

In the age of immediate technical expansion, our world faces a multifaceted challenge: ensuring the sustainability of our digital transformation. Governments and organizations have wholeheartedly embraced innovative technologies such as artificial intelligence, blockchain, and e-governance, but in doing so, they have encountered a complex web of issues. These range from cybersecurity concerns in an increasingly digitalized world to the need for intelligent systems capable of managing automation infrastructure and interconnected environments. Sustainable Development in AI, Blockchain, and E-Governance Applications offers a forward-thinking approach that harnesses the synergy between intelligent systems, machine learning, deep learning, and blockchain methods. It explores data-driven decision-making, automation infrastructure, autonomous transportation, and the creation of connected buildings, all aimed at crafting a sustainable digital future. By delving into topics like machine learning for smart parking, disease classification through neural networks, and the Internet of Things (IoT) for smarter cities, this book equips academic scholars with the tools they need to navigate the complex terrain of technology and governance. Academic scholars and researchers in technology, governance, and sustainability will find this book to be an indispensable resource. It caters to those seeking a comprehensive understanding of current and future trends in the integration of intelligent systems with cybersecurity applications.

Author : Goel, Neha,Yadav, Ravindra Kumar
Publisher : IGI Global
Page : 570 pages
File Size : 51,8 Mb
Release : 2023-07-03
Category : Computers
ISBN : 9781668487877

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Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries by Goel, Neha,Yadav, Ravindra Kumar Pdf

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.