Suman swarnkar (156 resultados)

hardcover. Condición: Very Good.

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Hardcover. Condición: new. Hardcover. The book explores the ways artificial intelligence (AI) theory is being applied to an extremely diverse range of industries, illustrating just how robust and adaptable this technology has become. AI is revolutionizing the way the world operates by allowing machines to learn from data, make choices, and even resolve problems similar to a human, but quicker and oftentimes more precisely. From its integration into innovative applications such as smart assistants and personalized suggestions to the application of quantum machine learning in identifying multifunctional materials for future technologies, AI is breaking boundaries everywhere. Within the book, every chapter explores a particular industry including energy, healthcare, manufacturing, and business and how AI is not only a theoretical idea, but a real-world tool that fuels innovation. For example, a variety of topics are examined such as how AI is central to the computational design of semiconductors, which are critical to electronics and emerging tech innovations. In manufacturing, AI solves challenges in virtual metrology, enhancing the precision and efficiency of production lines. The book also showcases how AI enables sustainability and assists in energy management and the fight against climate change. Oil and gas industries are getting smarter and more efficient with the application of AI to optimize operations and safety. In healthcare, AI is transforming preventive care, assisting doctors in identifying diseases at an early stage and tailoring treatments. The book also dives into the deployment of AI on devices such as smartphones and wearables, enabling real-time, privacy-focused decision-making. Businesses benefit from AIs capability in data-driven decision-making, leading to smarter strategies and faster growth. Lastly, AI is enhancing our interaction with technology through immersive AR/VR experiences, making them more intuitive and responsive. This book encourages interdisciplinary thinking between energy, healthcare, and business fields. The book explores the ways artificial intelligence (AI) theory is being applied to an extremely diverse range of industries, illustrating just how robust and adaptable this technology has become. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. In English.

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Hardcover. Condición: Brand New. 164 pages. 9.44x6.61x9.61 inches. In Stock.

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Hardcover. Condición: Brand New. 262 pages. 6.69x0.63x9.61 inches. In Stock.

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Condición: New.

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Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.

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hardcover. Condición: Very Good.

Condición: New.

Paperback. Condición: New. This book focuses on different applications of multimedia with supervised and unsupervised data engineering in the modern world. It includes AI-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, manufacturing, data science, automation in electronics industries, and many more relevant fields.Multimedia Data Processing and Computing provides a complete introduction to machine learning concepts, as well as practical guidance on how to use machine learning tools and techniques in real-world data engineering situations. It is divided into three sections. In this book on multimedia data engineering and machine learning, the reader will learn how to prepare inputs, interpret outputs, appraise discoveries, and employ algorithmic strategies that are at the heart of successful data mining. The chapters focus on the use of various machine learning algorithms, neural net- work algorithms, evolutionary techniques, fuzzy logic techniques, and deep learning techniques through projects, so that the reader can easily understand not only the concept of different algorithms but also the real-world implementation of the algorithms using IoT devices. The authors bring together concepts, ideas, paradigms, tools, methodologies, and strategies that span both supervised and unsupervised engineering, with a particular emphasis on multimedia data engineering. The authors also emphasize the need for developing a foundation of machine learning expertise in order to deal with a variety of real-world case studies in a variety of sectors such as biological communication systems, healthcare, security, finance, and economics, among others. Finally, the book also presents real-world case studies from machine learning ecosystems to demonstrate the necessary machine learning skills to become a successful practitioner.The primary users for the book include undergraduate and postgraduate students, researchers, academicians, specialists, and practitioners in computer science and engineering.…

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Taschenbuch. Condición: Neu. Graph Mining | Practical Uses and Instruments for Exploring Complex Networks | Riju Bhattacharya (u. a.) | Taschenbuch | Synthesis Lectures on Computer Science | xv | Englisch | 2026 | Springer | EAN 9783031938047 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…