The growing need for sustainable solutions prompts concerns on sustainable business practices, using new intelligent technologies. Artificial intelligence offers effective solutions for sustainability in environmental science while tackling challenges like climate change, resource depletion biodiversity erosion, and threats to planet health. It is essential to understand how artificial intelligence technologies can be leveraged for environmental science comprehension. Maintaining a Sustainable World in the Nexus of Environmental Science and AI offers a thorough comprehension of the nexus of environmental science and artificial intelligence, and its impact on sustainability. By offering solutions for sustainable development, this book displays state-of-the-art solutions, provide practical goals, and explore ethical issues of AI implementation. This book covers topics such as marine environments, climate change prediction and mitigation, urban planning, and renewable energy, and is a valuable resource for business owners, industry professionals, environmental scientists, computer engineers, academicians, and researchers.

The growing need for sustainable solutions prompts concerns on sustainable business practices, using new intelligent technologies. Artificial intelligence offers effective solutions for sustainability in environmental science while tackling challenges like climate change, resource depletion biodiversity erosion, and threats to planet health. It is essential to understand how artificial intelligence technologies can be leveraged for environmental science comprehension. Maintaining a Sustainable World in the Nexus of Environmental Science and AI offers a thorough comprehension of the nexus of environmental science and artificial intelligence, and its impact on sustainability. By offering solutions for sustainable development, this book displays state-of-the-art solutions, provide practical goals, and explore ethical issues of AI implementation. This book covers topics such as marine environments, climate change prediction and mitigation, urban planning, and renewable energy, and is a valuable resource for business owners, industry professionals, environmental scientists, computer engineers, academicians, and researchers.

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.

extreme weather will mean ongoing challenges to the capacity of these sectors to support human well-being, grow the economy, and provide critical environmental services. Society has yet to evaluate the resilience of FEWS to climate, environmental, and management stresses as it shapes strategies to support sustainable development over the next decades. These issues constitute a quintessential interdisciplinary research challenge and require a well-structured science agenda and supportive information services for implementing key findings that governments and stakeholders can adopt. Integrated policy pathways require usable research findings, applications, models, real-time information systems, and decision support systems. In addition, stakeholder engagement is essential to communicate the benefits and results of these approaches and to engage appropriate groups in their implementation.

Theoretical arguments associate labor migration and regional innovation capacity are based on technological innovation and knowledge diffusion that stimulate productivity increase in firms, institutions and regions. Labor mobility may contribute efficiently in the knowledge spillover and diffusion and because migrants can utilizes the knowledge and skill they gain from parental institutions which exploit in the host country. The migrated skill worker increase the knowledge accumulation and spillover which leads to increase the productivity of firm, institutions and region. Human capital migration is essential for knowledge diffusion because it enables the transfer of tacit information between businesses or institutions, enhancing productivity. In this context of externalities generation, skilled labor mobility is an important mechanism for the interregional transfer of technological knowledge diffusion.

Creativity must be turned into innovation that adds value and leads to strategic action. Innovation is often associated with Silicon Valley, expensive research and development departments, and expensive commercialization that primarily benefits a small portion of the world’s population. A small portion of the world’s population working together to solve wicked green problems is not enough either. Green creativity and eco-innovation are necessary to help solve green problems by making products and services available and affordable to the masses. Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration focuses on the importance of green creativity, eco-innovation, and collaboration to create a more sustainable world. It builds on the available literature and joint expertise in the field of management while providing further research opportunities in this dynamic field. Covering topics such as eco-leadership, green marketing, and social responsibility communication, this premier reference source is a comprehensive and timely resource for government officials, decision makers, business leaders and executives, students and educators of higher education, librarians, researchers, and academicians.

Environmental Kuznets Curve (EKC): A Manual provides a comprehensive summary of the EKC, summarizing work on this economic tool that can analyze environmental pollution problems. By enabling users to reconcile environmental and economic development policies, Environmental Kuznets Curve studies lend themselves to the investigation of the energy-growth and finance-energy nexus. The book obviates a dependence on outmoded tools, such as carrying capacity, externalities, ecosystem valuation and cost benefit analysis, while also encouraging flexible approaches to a variety of challenges.

Digital Twins for Smart Cities and Villages provides a holistic view of digital twin technology and how it can be deployed to develop smart cities and smart villages. Smart manufacturing, smart healthcare, smart education, smart agriculture, smart rural solutions, and related methodologies using digital twins are discussed, including challenges in deployment, their solutions and future roadmaps. This knowledge, enriched by a variety of case studies presented in the book, may empower readers with new capabilities for new research as well as new tasks and strategies for practical implementation and real-world problem solving.The book is thoughtfully structured, starting from the background of digital twin concepts and basic know-how to serve the needs of those new to the subject. It continues with implementation to facilitate and improve management in several urban contexts, infrastructures, and more. Global case study assessments further provide a deep characterization of the state-of-the-art in digital twin in urban and rural contexts. - Uniquely focuses on applications for smart cities and villages, including smart services for health, education, mobility, and agriculture - Provides use cases and practical deployment of research involved in the emerging uses of digital twins - Discusses all pertinent issues, challenges, and possible solutions instrumental in implementing digital twins smart solutions in this context - Edited and authored by a global team of experts in their given fields

Smart Biomimetic Coatings: Design, Properties and Biomedical Applications summarizes vital research in multifunctional (i.e., anti-corrosion, anti-fouling, and self-cleaning properties) surface coatings in various applications such as orthopedic and dental implants, tissue engineering, sensors and more. The book introduces biomimetic coatings, aiding understanding of highly complicated architectures in natural composites, along with discussions on the importance of proper mimicking to achieve composite materials with exceptional performance. The synthesis and unique properties of smart biomimetic coatings are detailed before a wide selection of biomedical applications is explored. This is an important reference of interest to researchers and R&D groups working in materials science, biomedical engineering, tissue engineering, and implant design. - Covers core principles, methods of synthesis, unique properties, and the pros and cons of biomimetic materials for coatings - Reviews a broad range of biomedical applications for biomimetic coatings, from drug delivery and sensors to anti-corrosion and orthopedics - Combines the principles of engineering, materials science, chemistry, and biology to provide an interdisciplinary overview of smart biomimetic coatings in biomedicine