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Author: Sukanta Kumar Baral
Publisher: CRC Press
ISBN: 1040046584
Category : Computers
Languages : en
Pages : 391
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Book Description
This book reviews Metaverse, the possibilities and difficulties of sustainable development, and policy suggestions, especially within the context of the 2030 Agenda. Green Metaverse for Greener Economies examines how the metaverse holds the potential to significantly reduce carbon emissions, whether through the replacement of physical goods with digital ones, the substitution of in-person interactions with virtual ones, or the creation of digital twins that will aid in the optimization of the physical world, from the planet to specific individuals thereby leading to sustainable world. The book includes a number of case studies, exploratory studies utilizing quantitative analysis, scientific studies, and qualitative studies to demonstrate how metaverse leading innovation and technology aids to achieve business sustainability in the emerging economies while also having an impact on the global economy (SDGs). This book will be useful for engineers, managers, and policy makers working on improving sustainability and reducing their carbon emissions through more energy-efficient processes. Features: Shares essential policy tools on innovation and technology for sustainable computing. Reviews metaverse, the possibilities and difficulties of sustainable development, and policy suggestions, especially within the context of the 2030 Agenda. Explores green technology concept, difficulties, and challenges ahead. Includes several case studies, exploratory studies utilizing quantitative analysis, scientific studies, and qualitative studies to demonstrate how metaverse leading innovation. Explores innovative technology in sustainable society like digital transformational, metaverse in business management, and innovative technology in healthcare.
Author: Sukanta Kumar Baral
Publisher: CRC Press
ISBN: 1040046584
Category : Computers
Languages : en
Pages : 391
Get Book Here
Book Description
This book reviews Metaverse, the possibilities and difficulties of sustainable development, and policy suggestions, especially within the context of the 2030 Agenda. Green Metaverse for Greener Economies examines how the metaverse holds the potential to significantly reduce carbon emissions, whether through the replacement of physical goods with digital ones, the substitution of in-person interactions with virtual ones, or the creation of digital twins that will aid in the optimization of the physical world, from the planet to specific individuals thereby leading to sustainable world. The book includes a number of case studies, exploratory studies utilizing quantitative analysis, scientific studies, and qualitative studies to demonstrate how metaverse leading innovation and technology aids to achieve business sustainability in the emerging economies while also having an impact on the global economy (SDGs). This book will be useful for engineers, managers, and policy makers working on improving sustainability and reducing their carbon emissions through more energy-efficient processes. Features: Shares essential policy tools on innovation and technology for sustainable computing. Reviews metaverse, the possibilities and difficulties of sustainable development, and policy suggestions, especially within the context of the 2030 Agenda. Explores green technology concept, difficulties, and challenges ahead. Includes several case studies, exploratory studies utilizing quantitative analysis, scientific studies, and qualitative studies to demonstrate how metaverse leading innovation. Explores innovative technology in sustainable society like digital transformational, metaverse in business management, and innovative technology in healthcare.
Author: Sukanta Kumar Baral
Publisher:
ISBN: 9781032638133
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
This book will shed light on a cutting-edge technological platform that gives digital experts, creatives, and business executives enormous economic possibilities.It provides insight into the green Metaverse, and an innovative technology that can be used in achieving of the SDGs 2030.
Author: Sirisha Potluri
Publisher: CRC Press
ISBN: 104009810X
Category : Computers
Languages : en
Pages : 251
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Book Description
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.
Author: Suneeta Satpathy
Publisher: CRC Press
ISBN: 1040254780
Category : Technology & Engineering
Languages : en
Pages : 301
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Book Description
This book explores the transformative potential of machine learning (ML) technologies in agriculture. It delves into specific applications, such as crop monitoring, disease detection, and livestock management, demonstrating how artificial intelligence/machine learning (AI/ML) can optimize resource management and improve overall productivity in farming practices. Sustainable Farming through Machine Learning: Enhancing Productivity and Efficiency provides an in-depth overview of AI and ML concepts relevant to the agricultural industry. It discusses the challenges faced by the agricultural sector and how AI/ML can address them. The authors highlight the use of AI/ML algorithms for plant disease and pest detection and examine the role of AI/ML in supply chain management and demand forecasting in agriculture. It includes an examination of the integration of AI/ML with agricultural robotics for automation and efficiency. The authors also cover applications in livestock management, including feed formulation and disease detection; they also explore the use of AI/ML for behavior analysis and welfare assessment in livestock. Finally, the authors also explore the ethical and social implications of using such technologies. This book can be used as a textbook for students in agricultural engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in machine learning, and deep learning working on sustainable agriculture applications.
Author: Uma Maheswari V
Publisher: CRC Press
ISBN: 1040109608
Category : Computers
Languages : en
Pages : 319
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Book Description
This book covers the fundamental concepts of private AI and its applications. It also covers fusion of Private AI with cutting-edge technologies like cloud computing, federated learning and computer vision. Security Models and Applications for Sustainable Development Using Private AI reviews various encryption algorithms used for providing security in private AI. It discusses the role of training machine learning and Deep learning technologies in private AI. The book provides case studies of using private AI in various application areas such as purchasing, education, entertainment, medical diagnosis, predictive care, conversational personal assistants, wellness apps, early disease detection, and recommendation systems. The authors provide additional knowledge to handling the customer’s data securely and efficiently. It also provides multi-model dataset storage approaches along with the traditional approaches like anonymization of data and differential privacy mechanisms. The target audience includes undergraduate and postgraduate students in Computer Science, Information technology, Electronics and Communication Engineering and related disciplines. This book is also a one stop reference point for professionals, security researchers, scholars, various government agencies and security practitioners, and experts working in the cybersecurity Industry specifically in the R & D division.
Author: Suneeta Satpathy
Publisher: CRC Press
ISBN: 1040088864
Category : Science
Languages : en
Pages : 180
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Book Description
This book discusses the adverse effects of climatic changes on our planet. It examines AI-based tools and technologies and how they can assist in identifying energy emission reductions, CO2 removal, and support the development of greener transportation networks, monitoring deforestation, and forecasting extreme weather events. AI for Climate Change and Environmental Sustainability identifies and discusses in detail the importance of environmental sustainability based on accomplishment of the UN's 17 Sustainable Developmental Goals (SDGs). It presents the various AI-based possibilities for accelerating international efforts to safeguard the environment and conserve natural resources. The authors offer a comprehensive analysis of the emerging field of climate change in relation to Internet of Things, artificial intelligence, machine learning, and deep learning. The book discusses AI developments, applications, and best practices that will help us transition to a low-carbon future on both a regional and global scale. It provides case studies with analytical results pertinent to climate change and weather prediction and includes chapters with a research-oriented approach, which can encourage new developments in the field of sustainable climate and green environment. The book can be used as a primary textbook for graduate and postgraduate students in technology and science, as well as a reference for researchers, academics, and IT professionals working on climate change and sustainability initiatives.
Author: Ngangbam Herojit Singh
Publisher: CRC Press
ISBN: 1040107117
Category : Computers
Languages : en
Pages : 274
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Book Description
This book offers detailed information on biomedical imaging using Deep Convolutional Neural Networks (Deep CNN). It focuses on different types of biomedical images to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis and image processing perspectives. Deep Learning in Biomedical Signal and Medical Imaging discusses classification, segmentation, detection, tracking, and retrieval applications of non-invasive methods such as EEG, ECG, EMG, MRI, fMRI, CT, and X-RAY, amongst others. It surveys the most recent techniques and approaches in this field, with both broad coverage and enough depth to be of practical use to working professionals. It includes examples of the application of signal and image processing employing Deep CNN to Alzheimer’s, brain tumor, skin cancer, breast cancer, and stroke prediction, as well as ECG and EEG signals. This book offers enough fundamental and technical information on these techniques, approaches, and related problems without overcrowding the reader’s head. It presents the results of the latest investigations in the field of Deep CNN for biomedical data analysis. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field. They combine the fundamental theory of artificial intelligence (AI), machine learning (ML,) and Deep CNN with practical applications in biology and medicine. Certainly, the list of topics covered in this book is not exhaustive, but these topics will shed light on the implications of the presented techniques and approaches on other topics in biomedical data analysis. The book is written for graduate students, researchers, and professionals in biomedical engineering, electrical engineering, signal process engineering, biomedical imaging, and computer science. The specific and innovative solutions covered in this book for both medical and biomedical applications are critical to scientists, researchers, practitioners, professionals, and educators who are working in the context of the topics.
Author: Sushruta Mishra
Publisher: CRC Press
ISBN: 1040049893
Category : Computers
Languages : en
Pages : 236
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Book Description
This book aims to apply state-of-the-art advanced computational intelligence frameworks in healthcare. It presents recent and real-life applications of computationally intelligent healthcare. It also discusses problems and solutions to remote healthcare and emergency healthcare services. Healthcare Analytics and Advanced Computational Intelligence highlights modern ambient intelligence-enabled healthcare models along with advanced topics like quantum computing in healthcare and cryptomedical systems. Healthcare Analytics and Advanced Computational Intelligence examines designing the latest medical systems and models that will allow the societal acceptance of ambiance computing in healthcare, medical imaging, health analytics, machine intelligence, sensory computing, medical data analytics, disease detection, telemedicine, and their applications. It includes diverse case studies dealing with various clinical-based applications. These intelligent models are primarily structured to deal with complex real-world issues in clinical data analytics, by means of state-of-the-art techniques with general implementation, domain-specific solutions, or hybrid methods which integrate computational intelligence with conventional statistical methods. The book is written for researchers and academicians in diverse areas. Engineers from technical disciplines such as computer engineering are likely to purchase the book. Various sub-streams such as machine learning, big data analytics, healthcare analytics, and computational intelligence will find the book significant for their curriculum.
Author: Y?ld?r?m, Seda
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 479
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Book Description
The challenge of achieving sustainability is complex and multifaceted, with varying approaches and policies across different countries and industries. This lack of universal standards poses a significant obstacle to the global transition towards a sustainable future. The COVID-19 pandemic has further exacerbated these disparities, highlighting the urgent need for cohesive and practical sustainability strategies. What sets Green Transition Impacts on the Economy, Society, and Environment apart is its comprehensive and unique solution to this pressing issue, offering a unified framework for sustainability that can be applied across diverse contexts. By gathering insights and approaches from researchers worldwide, this book provides a holistic view of sustainability, addressing critical issues such as climate change, energy security, and social responsibility. It offers practical solutions and case studies demonstrating effective strategies for achieving sustainability goals. Through this approach, the book aims to equip policymakers, practitioners, and researchers with the knowledge and tools needed to navigate the complexities of sustainability in the 21st century.
Author: Aldo Alvarez-Risco
Publisher: Springer Nature
ISBN: 9811988951
Category : Science
Languages : en
Pages : 276
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Book Description
This book highlights the relevant and timely global change movement: green entrepreneurship. Presented in this book is relevant literature and academic knowledge. The book is expected to support in creating more green entrepreneurship initiatives in collaboration with the UN Sustainable Development Goals.
