AI Applications for Business, Medical, and Agricultural Sustainability - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI Applications for Business, Medical, and Agricultural Sustainability write by Naim, Arshi. This book was released on 2024-03-07. AI Applications for Business, Medical, and Agricultural Sustainability available in PDF, EPUB and Kindle. Climate change, natural resource depletion, and unsustainable agricultural practices pose unprecedented challenges to our planet. The increasing environmental footprint of computer networks, communication systems, and other IT infrastructures exacerbates these issues, contributing significantly to energy consumption and greenhouse gas emissions. Without innovative solutions, these challenges will continue to escalate, threatening the sustainability of our planet for future generations. AI Applications for Business, Medical, and Agricultural Sustainability offers a comprehensive solution by harnessing the power of Artificial Intelligence (AI) and High-Performance Computing (HPC). This book is ideal for educators, environmentalists, industry professionals, researchers, and academics. By introducing new energy models, algorithms, and methodologies, the book provides a roadmap for developing next-generation computing and communication infrastructures that are environmentally sustainable.
Applications of Artificial Intelligence in Business, Education and Healthcare
Applications of Artificial Intelligence in Business, Education and Healthcare - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applications of Artificial Intelligence in Business, Education and Healthcare write by Allam Hamdan. This book was released on 2021-07-12. Applications of Artificial Intelligence in Business, Education and Healthcare available in PDF, EPUB and Kindle. This book focuses on the implementation of Artificial Intelligence in Business, Education and Healthcare, It includes research articles and expository papers on the applications of Artificial Intelligence on Decision Making, Entrepreneurship, Social Media, Healthcare, Education, Public Sector, FinTech, and RegTech. It also discusses the role of Artificial Intelligence in the current COVID-19 pandemic, in the health sector, education, and others. It also discusses the impact of Artificial Intelligence on decision-making in vital sectors of the economy.
AI in Agriculture for Sustainable and Economic Management
AI in Agriculture for Sustainable and Economic Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI in Agriculture for Sustainable and Economic Management write by Sirisha Potluri. This book was released on 2024-08-01. AI in Agriculture for Sustainable and Economic Management available in PDF, EPUB and Kindle. 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.
Handbook of Artificial Intelligence Applications for Industrial Sustainability
Handbook of Artificial Intelligence Applications for Industrial Sustainability - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Artificial Intelligence Applications for Industrial Sustainability write by Vikas Garg. This book was released on 2024-01-30. Handbook of Artificial Intelligence Applications for Industrial Sustainability available in PDF, EPUB and Kindle. The subject of Artificial Intelligence (AI) is continuing on its journey of affecting each and every individual and will keep on this path in the times to come. This handbook is a collection of topics on the application of artificial intelligence applications for sustainability in different areas. It provides an insight into the various uses of concepts and practical examples for different domains all in one place, which makes it unique and important for the potential reader. Handbook of Artificial Intelligence Applications for Industrial Sustainability: Concepts and Practical Examples examines the influence of AI and how it can be used in several industries to improve corporate performance, reduce security concerns, improve customer experience, and ultimately generate value for customers and maximize profits. The handbook offers practical examples, concepts, and applications that provide an easy understanding and implementation process. It provides AI applications in many fields, such as sustainable credit decisions, cyber security and fraud prevention, warehouse management, and much more. This handbook will provide insight to customers, managers, professionals, engineers, researchers, and students on the various uses of AI and sustainability in different domains. All of this needed information compiled into one handbook makes it unique and important for the engineering, business, and computer science communities.
Explainable AI (XAI) for Sustainable Development
Explainable AI (XAI) for Sustainable Development - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Explainable AI (XAI) for Sustainable Development write by Lakshmi D. This book was released on 2024-06-26. Explainable AI (XAI) for Sustainable Development available in PDF, EPUB and Kindle. This book presents innovative research works to automate, innovate, design, and deploy AI fo real-world applications. It discusses AI applications in major cutting-edge technologies and details about deployment solutions for different applications for sustainable development. The application of Blockchain techniques illustrates the ways of optimisation algorithms in this book. The challenges associated with AI deployment are also discussed in detail, and edge computing with machine learning solutions is explained. This book provides multi-domain applications of AI to the readers to help find innovative methods towards the business, sustainability, and customer outreach paradigms in the AI domain. • Focuses on virtual machine placement and migration techniques for cloud data centres • Presents the role of machine learning and meta-heuristic approaches for optimisation in cloud computing services • Includes application of placement techniques for quality of service, performance, and reliability improvement • Explores data centre resource management, load balancing and orchestration using machine learning techniques • Analyses dynamic and scalable resource scheduling with a focus on resource management The reference work is for postgraduate students, professionals, and academic researchers in computer science and information technology.
