Khanday akib (17 Ergebnisse)

Paperback. Zustand: Brand New. 310 pages. 6.14x0.73x9.21 inches. In Stock.

Zustand: New. Mohd Anas Wajid is a Postdoctoral Research Associate in Data Science at the Institute for the Future of Education, TEC de Monterrey, Mexico. He is also Assistant Professor at Galgotias University, Greater Noida, India, in the Department .

Taschenbuch. Zustand: Neu. Neuware - Algorithm Management Optimisation (Vol. 1) Artificial Intelligence in Wind Energy: Transforming Green Energy Generation explores the integration of Artificial Intelligence (AI) with wind energy systems to address key challenges in renewable energy. It highlights how machine learning and data-driven techniques improve efficiency, reliability, and sustainability in wind power generation through better forecasting, optimisation, and decision-making. The book begins with the fundamentals of renewable energy and wind systems, followed by AI and machine learning concepts relevant to energy applications. It covers wind resource assessment, forecasting models, turbine performance optimisation, predictive maintenance, and wind farm site selection. Advanced topics include smart grid integration, hybrid renewable systems, explainable AI, and real-time analytics, supported by practical case studies. Key Features: -Detailed discussions on the integration of AI and machine learning in wind energy systems.-Coverage of forecasting, optimisation, and predictive maintenance.-Focuses on smart grids and hybrid renewable energy systems with discussion on their optimisation, forecasting and predictive maintenance.-Real-world case studies and practical applications with discussions on ethical and responsible AI use in energy.…

Taschenbuch. Zustand: Neu. Neuware - This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such as when there is incomplete, unclear, or imprecise information at hand or inadequate data. It further illustrates topics such as image processing, and power system analysis.This book: - Discusses soft computing techniques including fuzzy Logic, rough sets, neutrosophic sets, neural networks, generative adversarial networks, and evolutionary computation - Examines novel and contemporary advances in the fields of soft computing, fuzzy computing, neutrosophic computing, and machine learning systems, as well as their applications in real life - Serves as a comprehensive reference for applying machine learning and neutrosophic sets in real-world applications such as smart cities, healthcare, and the Internet of Things - Covers topics such as image processing, bioinformatics, natural language processing, supply chain management, and cybernetics - Illustrates classification of neutrosophic machine learning, neutrosophic reinforcement learning, and applications of neutrosophic machine learning in emerging industries The text is written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Zustand: New. In English.

Hardcover. Zustand: Brand New. 424 pages. 9.00x6.00x1.25 inches. In Stock.

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Buch. Zustand: Neu. Neuware - This book is an essential resource on the impact of AI in medical systems, helping readers stay ahead in the modern era with cutting-edge solutions, knowledge, and real-world case studies. Wellness Management Powered by AI Technologies explores the intricate ways machine learning and the Internet of Things (IoT) have been woven into the fabric of healthcare solutions. From smart wearable devices tracking vital signs in real time to ML-driven diagnostic tools providing accurate predictions, readers will gain insights into how these technologies continually reshape healthcare. The book begins by examining the fundamental principles of machine learning and IoT, providing readers with a solid understanding of the underlying concepts. Through clear and concise explanations, readers will grasp the complexities of the algorithms that power predictive analytics, disease detection, and personalized treatment recommendations. In parallel, they will uncover the role of IoT devices in collecting data that fuels these intelligent systems, bridging the gap between patients and practitioners. In the following chapters, readers will delve into real-world case studies and success stories that illustrate the tangible benefits of this dynamic duo. This book is not merely a technical exposition; it serves as a roadmap for healthcare professionals and anyone invested in the future of healthcare. Readers will find the book: - Explores how AI is transforming diagnostics, treatments, and healthcare delivery, offering cutting-edge solutions for modern healthcare challenges; - Provides practical knowledge on implementing AI in healthcare settings, enhancing efficiency and patient outcomes; - Offers authoritative insights into current AI trends and future developments in healthcare; - Features real-world case studies and examples showcasing successful AI integrations in various medical fields. Audience This book is a valuable resource for researchers, industry professionals, and engineers from diverse fields such as computer science, artificial intelligence, electronics and electrical engineering, healthcare management, and policymakers.…

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Hardcover. Zustand: Brand New. 400 pages. 9.18x6.12x9.21 inches. In Stock.

Hardcover. Zustand: Brand New. 440 pages. 9.18x6.12x9.45 inches. In Stock.

Buch. Zustand: Neu. Neuware - The text employs computational techniques and large-scale data analysis to study complex social phenomena and human behavior. It discusses diverse methodologies, including agent-based modeling, network analysis, natural language processing, and machine learning, to gain insights into topics ranging from social network dynamics and opinion formation to economic trends and public health crises.Features: - Discusses the theoretical background of each algorithm in detail and presents the applications of each method. - Presents artificial intelligence implications, sustainable artificial intelligence, and the importance of artificial intelligence in agriculture, and energy. - Explains the use of predictive modeling in computational social science and applications of computational social science. - Showcases the framework for social network analysis, application program interface, data collection methods, and data preprocessing. - Covers topics such as density-based spatial clustering of applications with noise, the role of clustering in computational social science, and clustering in network structure. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.…