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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 ...
This collected edition provides practical and effective strategies to fight poverty and advance long-term sustainable development. Authors aim to close the gap between research and practice by offering practical advice and best practices for tackling poverty in an inclusive and sustainable manner.
This research book compiles concise reviews on business trends that drive innovation and competitive advantages. The book includes 15 referenced chapters covering topics in advertising, agriculture, digital marketing, human resource management, healthcare and sustainability. Chapters focus on the use of disruptive technologies such as virtual reality, artificial intelligence and Internet of Things that harness the power of big data and visualizations to provide a framework for insightful analytics. Readers will be able to understand the practical applications and implications of these technologies so that they can apply them to their businesses. Special topics of interest are highlighted, including industry 4.0, women empowerment for industry 5.0, sustainability models for achieving UN SDG 9, over the top media platforms, and more.
This book will constitute the proceedings of the International Health Informatics Conference (IHIC 2022). This volume focus on artificial intelligence, machine learning, and deep learning approach with their automated intelligent cognitive knowledge as an assisting tool to the existing healthcare tools. The topics covered in this volume are data mining, patient electronic health records, healthcare portals, telemedicine, automatic identification and data collector systems, RFID and localization techniques, usability and ubiquity in e-Health, artificial intelligence for healthcare decision-making, etc. This volume will prove a valuable resource for those in academia and industry.
The authors of this edited collection take a holistic approach to poverty, recognizing interconnected factors on a global scale. This timely collection aids in developing more effective strategies for combating poverty and fostering a fairer, more prosperous future.
"Microfinance Metaverse Intervention in Changing Context" delves into the transformative intersection of microfinance and the burgeoning metaverse. As the digital realm of the metaverse expands, the book explores its profound implications on microfinance, examining how virtual banking and digital currencies are revolutionizing grassroots financial services. Beyond traditional models, microfinance institutions are now tapping into virtual economies, leveraging immersive technologies to reach underserved populations with unparalleled efficiency. The narrative seamlessly intertwines the technological nuances of the metaverse with the core principles of microfinance, offering insights into the democratization of finance in this digital age. Yet, with innovation come challenges. The book doesn't shy away from addressing the regulatory hurdles, ethical dilemmas, and socio-economic considerations that this fusion introduces. A groundbreaking exploration, it lays the foundation for understanding the next frontier in financial inclusion in our ever-evolving digital landscape.
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...