Название: Artificial Intelligence and Data Science for Sustainability: Applications and MethodsАвтор: Muhammad Syafrudin, Norma Latif Fitriyani, Muhammad Anshari
Издательство: IGI Global Scientific Publishing
Год: 2025
Страниц: 498
Язык: английский
Формат: pdf (true), epub
Размер: 25.0 MB
The integration of Artificial Intelligence (AI) and Data Science (DS) into sustainability efforts is increasingly crucial as the world faces environmental and resource challenges. By leveraging advanced AI and DS techniques, we can create innovative solutions for sectors like energy, agriculture, and waste management, promoting long-term sustainability. These technologies have the potential to optimize processes, reduce environmental footprints, and support smarter decision-making across industries. Ultimately, AI and DS are key to advancing both the efficiency and impact of sustainability efforts, contributing to a more sustainable future for society at large. Artificial Intelligence and Data Science for Sustainability: Applications and Methods explores the application of AI and DS techniques and methodologies in addressing various sustainability challenges. It brings together cutting-edge research, case studies, and practical applications that demonstrate how AI can be leveraged to promote sustainable development across diverse domains. Covering topics such as structural optimization, drone imagery, and development financing, this book is an excellent resource for computer scientists, computer engineers, urban planners, sustainability professionals, government officials, policymakers, researchers, professionals, scholars, academicians, and more.
Artificial Intelligence (AI) is an innovation that has been materialized as a result of the trend towards digitalization. Machine learning, data analysis, and decision-making are all made possible by AI algorithms, which are a set of guidelines or rules. These are capable of completing tasks that ordinarily demand for human intelligence, such as pattern recognition, comprehension of spoken language, problem-solving, and decision-making. It is frequently applied to several fields like smart farming practices (sensors, drones, automated machinery, AI, and Internet of Things (IoT) devices) and precision agriculture (sensors, data analytics, and GPS navigation).
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