[PDF] Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals - eBooks Review

Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals


Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals
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Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals


Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals
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Author : Ruiz-Vanoye, Jorge A.
language : en
Publisher: IGI Global
Release Date : 2025-03-07

Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals written by Ruiz-Vanoye, Jorge A. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Computers categories.


Achieving the United Nations' Sustainable Development Goals (SDGs) requires innovative solutions that address global challenges such as climate change, poverty, and social inequality. Artificial intelligence (AI), machine learning, and data-driven technologies offer transformative potential by optimizing resource management, improving healthcare outcomes, and enhancing decision-making processes. However, integrating AI into sustainable development efforts presents ethical, technical, and policy-related challenges that must be carefully navigated. A multidisciplinary approach is essential to ensure these technologies are applied inclusively and responsibly, maximizing their positive societal impact. Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals enhances understanding and application of machine learning, deep learning, data mining and AI technologies in the context of the SDGs. It fills the gap by linking theory and practice and addresses both the opportunities and challenges inherent in this intersection. Covering topics such as demand side management, agricultural productivity, and smart manufacturing, this book is an excellent resource for engineers, computer scientists, practitioners, policymakers, professionals, researchers, scholars, academicians, and more.



Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals


Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals
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Author : Ocotlán Díaz-Parra
language : en
Publisher:
Release Date : 2025

Machine And Deep Learning Solutions For Achieving The Sustainable Development Goals written by Ocotlán Díaz-Parra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.




Integrating Legal Compliance With Sustainable Development Goals


Integrating Legal Compliance With Sustainable Development Goals
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Author : Ghazali, Farahdilah
language : en
Publisher: IGI Global
Release Date : 2025-07-03

Integrating Legal Compliance With Sustainable Development Goals written by Ghazali, Farahdilah and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Law categories.


Integrating legal compliance with Sustainable Development Goals (SDGs) aligns national and corporate governance with global priorities. As governments, businesses, and society strive to meet sustainability goals, ensuring that legal frameworks support environmental protection, social equity, and economic resilience become essential. Legal compliance now plays a strategic role in sustainability by enforcing regulations, setting standards, and promoting accountability. This integration strengthens law while enabling a more structured and equitable approach to achieving long-term sustainability. Integrating Legal Compliance With Sustainable Development Goals explores the convergence of law, sustainability, and business strategy, providing a roadmap for integrating legal compliance with sustainable development goals. It examines the tools and knowledge needed to implement sustainable practices that comply with legal standards and drive positive change, offering insights for legal reforms that further support sustainable development. This book covers topics such as sustainability, urban planning, and international relations, and is a useful resource for business owners, government officials, policymakers, academicians, researchers, and scientists.



Emerging Trends In Ict For Sustainable Development


Emerging Trends In Ict For Sustainable Development
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Author : Mohamed Ben Ahmed
language : en
Publisher: Springer
Release Date : 2022-02-07

Emerging Trends In Ict For Sustainable Development written by Mohamed Ben Ahmed and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-07 with Computers categories.


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



Ai In Agriculture For Sustainable And Economic Management


Ai In Agriculture For Sustainable And Economic Management
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Author : Sirisha Potluri
language : en
Publisher: CRC Press
Release Date : 2024-08-01

Ai In Agriculture For Sustainable And Economic Management written by Sirisha Potluri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-01 with Computers categories.


This book explains the best practices and their respective outcomes in artificial intelligence (AI) to meet sustainable development goals and demands. It examines the practices, technologies, and innovations at the core of various research issues to meet the sustainable development demands in agriculture to balance social, economic, and environmental sustainability with AI. AI in Agriculture for Sustainable and Economic Management discusses AI-driven nanotechnology approaches for precision agriculture and solutions for the optimization of farming resources and their management. The authors examine the impact of AI in agriculture and how technology-driven sustainable farming with smart waste-water treatment for zero waste for the circular economy can extend crop shelf-life. It discusses how AI expertise can be advantageous to envisage and evaluate the increasing demands of productivity, and to help to maintain ecosystems and strengthen the capacity for crop adaptation in response to drastic changes in climate and weather, natural disasters, and other significant factors. These findings and practices are also useful to emphasize how an agricultural ecosystem can be advanced and industrialized so that it can aid not only large commercial farms but also smaller farmlands. Finally, it also discusses how AI practices will help to find a balance between the volume of food manufactured and the proper maintenance of the ecosystem. This book is intended for researchers and upper graduate students interested in artificial intelligence in agricultural engineering, AI advances in crop science and technology for sustainable development.



Artificial Intelligence Of Things For Achieving Sustainable Development Goals


Artificial Intelligence Of Things For Achieving Sustainable Development Goals
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Author : Sanjay Misra
language : en
Publisher: Springer Nature
Release Date : 2024-03-11

Artificial Intelligence Of Things For Achieving Sustainable Development Goals written by Sanjay Misra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-11 with Computers categories.


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 SDGsor 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.



Harnessing High Performance Computing And Ai For Environmental Sustainability


Harnessing High Performance Computing And Ai For Environmental Sustainability
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Author : Naim, Arshi
language : en
Publisher: IGI Global
Release Date : 2024-05-15

Harnessing High Performance Computing And Ai For Environmental Sustainability written by Naim, Arshi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-15 with Technology & Engineering categories.


The world is addressing the insistent challenge of climate change, and the need for innovative solutions has become paramount. In this period of technical developments, artificial intelligence (AI) has emerged as a powerful instrument with enormous prospects to combat climate change and other environmental subjects. AI's ability to process vast amounts of data, identify patterns, and make intelligent predictions offers unprecedented opportunities to tackle this global crisis. High-Performance Computing (HPC) or super-computing environments address these large and complex challenges with individual nodes (computers) working together in a cluster (connected group) to perform massive amounts of computing in a short period. Creating and removing these clusters is often automated in the cloud to reduce costs. Computer networks, communication systems, and other IT infrastructures have a growing environmental footprint due to significant energy consumption and greenhouse gas emissions. To address this seemingly self-defeating conundrum, and create a truly sustainable environment, new energy models, algorithms, methodologies, platforms, tools, and systems are required to support next-generation computing and communication infrastructures. Harnessing High-Performance Computing and AI for Environmental Sustainability navigates through AI-driven solutions from sustainable agriculture and land management to energy optimization and smart grids. It unveils how AI algorithms can analyze colossal datasets, offering unprecedented insights into climate modeling, weather prediction, and long-term climate trends. Integrating AI-powered optimization algorithms revolutionizes energy systems, propelling the transition towards a low-carbon future by reducing greenhouse gas emissions and enhancing efficiency. This book is ideal for educators, environmentalists, industry professionals, and researchers alike, and it explores the ethical dimensions and policies surrounding AI's contribution to environmental development.



Ai Solutions For The United Nations Sustainable Development Goals Un Sdgs


Ai Solutions For The United Nations Sustainable Development Goals Un Sdgs
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Author : Tulsi Pawan Fowdur
language : en
Publisher: Springer Nature
Release Date : 2024-12-17

Ai Solutions For The United Nations Sustainable Development Goals Un Sdgs written by Tulsi Pawan Fowdur and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-17 with Computers categories.


Learn the United Nations Sustainable Development Goals (UN SDGs) and see how machine learning can significantly contribute to their realization. This book imparts both theoretical knowledge and hands-on experience in comprehending and constructing machine learning-based applications for addressing multiple UN SDGs using JavaScript. The reading begins with a delineation of diverse UN SDG targets, providing an overview of previous successful applications of machine learning in solving realistic problems aligned with these targets. It thoroughly explains fundamental concepts of machine learning algorithms for prediction and classification, coupled with their implementation in JavaScript and HTML programming. Detailed case studies examine challenges related to renewable energy, agriculture, food production, health, environment, climate change, water quality, air quality, and telecommunications, corresponding to various UN SDGs. Each case study includes related works, datasets, machine learning algorithms, programming concepts, and comprehensive explanations of JavaScript and HTML codes used for web-based machine learning applications. The results obtained are meticulously analyzed and discussed, showcasing the pivotal role of machine learning in advancing the relevant SDGs. By the end of this book, you’ll have a firm understanding of SDG fundamentals and the practical application of machine learning to address diverse challenges associated with these goals. What You’ll Learn Understand the fundamental concepts of the UN SDGs, AI, and machine learning algorithms. Employ the correct machine learning algorithms to address challenges on the United Nations Sustainable Development Goals (UN SDGs)? Develop web-based machine learning applications for the UN SDGs using Javascript, and HTML. Analyze the impact of a machine learning-based solution on a specific UN SDG. Who This Book Is For Data scientists, machine learning engineers, software professionals, researchers, and graduate students.



Ai Driven Personalized Healthcare Solutions


Ai Driven Personalized Healthcare Solutions
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Author : Chemingui, Houssem
language : en
Publisher: IGI Global
Release Date : 2025-02-27

Ai Driven Personalized Healthcare Solutions written by Chemingui, Houssem and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Medical categories.


AI-driven personalized healthcare solutions transform approaches to medical treatment by personalizing care to the needs of individuals. Utilizing advanced algorithms, machine learning, and large amounts of patient data, AI enables more accurate diagnoses, predictive analytics, and customized treatment plans. This approach allows for early detection of diseases, enhanced monitoring of chronic conditions, and the ability to create precision medicine strategies specific to each patient's genetics, lifestyle, and health. Further research may encourage efficient, effective, and patient-centered care, improving outcomes and reducing healthcare costs. AI-Driven Personalized Healthcare Solutions explores the transformative role of AI in revolutionizing healthcare and medicine. It delves into the cutting-edge technologies, applications, and ethical considerations surrounding AI-driven healthcare solutions, from diagnosis and treatment to personalized medicine and patient care. This book covers topics such as telemedicine, disease detection, and healthcare monitoring, and is a useful resource for computer engineers, healthcare professionals, scientists, academicians, and researchers.



Decision Intelligence Solutions


Decision Intelligence Solutions
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Author : Nitasha Hasteer
language : en
Publisher: Springer Nature
Release Date : 2023-12-14

Decision Intelligence Solutions written by Nitasha Hasteer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-14 with Computers categories.


This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (InCITe-2023). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in decision intelligence, deep learning, machine learning, artificial intelligence, data science, and enabling technologies for IoT, blockchain, and other futuristic computational technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision-making and modeling, information systems, and IT architectures. This book provides a valuable resource for those in academia and industry.