Kumar swarnkar suman (37 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Springer, 2026

    3032183219 / 9783032183217

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    hardcover. Zustand: Very Good.

  • Sprache: Englisch

    Verlag: Bentham Science Publishers, 2023

    9815196464 / 9789815196467

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    Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections

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    Zustand: New. In English.

  • Sprache: Englisch

    Verlag: Springer-Nature New York Inc, 2025

    3031936728 / 9783031936722

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    Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books

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

  • Sprache: Englisch

    Verlag: Springer Nature Switzerland Ag, 2026

    3032183219 / 9783032183217

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

  • Sprache: Englisch

    Verlag: Springer, 2026

    3031938046 / 9783031938047

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    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a thorough introduction to graph mining and addresses foundational concepts and advanced techniques along with practical applications across various fields. As graphs have become increasingly vital for data representation in domains such as social network analysis, bioinformatics, and transportation, there is a growing demand for a comprehensive source that covers both theory and practical insights. This book seeks to fill that gap by offering clear explanations, practical examples, and actionable insights, making complex graph mining techniques accessible to students, postgraduate readers, and researchers. The authors also provide an extensive investigation into the process of gaining insightful knowledge from graph representations, ranging from interpreting intricate relationships to decoding complex data structures. Readers will learn to identify anomalous patterns, locate communities, arrange nodes, predict connections, and evaluate graphs effectively.…

  • Sprache: Englisch

    Verlag: Springer, 2026

    3031936752 / 9783031936753

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    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the groundbreaking ways artificial intelligence (AI) is revolutionizing the healthcare industry and delves into how AI technologies are enhancing patient care, improving diagnostic accuracy, and streamlining healthcare operations. With real-world examples of how AI is being used in hospitals, clinics, and research institutions around the world as well as insights from leading experts who provide readers with access to cutting-edge knowledge and diverse perspectives on the future of medicine, the book provides a comprehensive overview of the innovations driving the future of medicine. Healthcare is facing big challenges including the growing demand for medical services, the need for more accurate diagnoses, and the pressure to reduce costs. AI can help solve these problems by making healthcare more efficient, precise, and accessible to everyone. Appropriate for healthcare professionals, technology enthusiasts, or simply curious readers about the future of healthcare, this book offers a clear and engaging look at how AI is reshaping the medical landscape for the better. Specifically, the book covers various aspects of AI in healthcare, including diagnostics, treatment planning, patient monitoring, hospital management, and public health. In addition, the book presents the ethical, legal, and societal implications, providing a well-rounded discussion that considers both the opportunities and challenges of AI in healthcare.…

  • Sprache: Englisch

    Verlag: Springer, 2026

    3032183219 / 9783032183217

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    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 AI s 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.…

  • Sprache: Englisch

    Verlag: Springer, 2025

    3031936728 / 9783031936722

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    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the groundbreaking ways artificial intelligence (AI) is revolutionizing the healthcare industry and delves into how AI technologies are enhancing patient care, improving diagnostic accuracy, and streamlining healthcare operations. With real-world examples of how AI is being used in hospitals, clinics, and research institutions around the world as well as insights from leading experts who provide readers with access to cutting-edge knowledge and diverse perspectives on the future of medicine, the book provides a comprehensive overview of the innovations driving the future of medicine. Healthcare is facing big challenges including the growing demand for medical services, the need for more accurate diagnoses, and the pressure to reduce costs. AI can help solve these problems by making healthcare more efficient, precise, and accessible to everyone. Appropriate for healthcare professionals, technology enthusiasts, or simply curious readers about the future of healthcare, this book offers a clear and engaging look at how AI is reshaping the medical landscape for the better. Specifically, the book covers various aspects of AI in healthcare, including diagnostics, treatment planning, patient monitoring, hospital management, and public health. In addition, the book presents the ethical, legal, and societal implications, providing a well-rounded discussion that considers both the opportunities and challenges of AI in healthcare.…

  • Sprache: Englisch

    Verlag: Springer, 2025

    3031938011 / 9783031938016

    • Hardcover

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    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a thorough introduction to graph mining and addresses foundational concepts and advanced techniques along with practical applications across various fields. As graphs have become increasingly vital for data representation in domains such as social network analysis, bioinformatics, and transportation, there is a growing demand for a comprehensive source that covers both theory and practical insights. This book seeks to fill that gap by offering clear explanations, practical examples, and actionable insights, making complex graph mining techniques accessible to students, postgraduate readers, and researchers. The authors also provide an extensive investigation into the process of gaining insightful knowledge from graph representations, ranging from interpreting intricate relationships to decoding complex data structures. Readers will learn to identify anomalous patterns, locate communities, arrange nodes, predict connections, and evaluate graphs effectively.…

  • Sprache: Englisch

    Verlag: CRC Press, 2024

    1032761482 / 9781032761480

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    hardcover. Zustand: Very Good.

  • Sprache: Englisch

    Verlag: Springer, 2026

    3031938046 / 9783031938047

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    Taschenbuch. Zustand: 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. …

  • Sprache: Englisch

    Verlag: Springer, 2026

    3031936752 / 9783031936753

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    Taschenbuch. Zustand: Neu. Transforming Healthcare with Artificial Intelligence | Innovations and Applications | Suman Kumar Swarnkar (u. a.) | Taschenbuch | Synthesis Lectures on Computer Science | xix | Englisch | 2026 | Springer | EAN 9783031936753 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

  • Sprache: Englisch

    Verlag: Taylor & Francis Ltd, 2026

    1032761474 / 9781032761473

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    Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books

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    EUR 106,09

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    Paperback. Zustand: Brand New. 154 pages. 6.14x0.37x9.21 inches. In Stock.

  • Sprache: Englisch

    Verlag: Taylor & Francis Ltd, 2026

    1032832827 / 9781032832821

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    Paperback. Zustand: Brand New. 168 pages. 6.14x0.39x9.21 inches. In Stock.

  • Sprache: Englisch

    Verlag: CRC Press, 2024

    1032761482 / 9781032761480

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    Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books

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  • Sprache: Englisch

    Verlag: H N H International Limited, 2024

    1032832800 / 9781032832807

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    Zustand: New. pp. 182.

  • Sprache: Englisch

    Verlag: LAP LAMBERT Academic Publishing, 2021

    6203927937 / 9786203927931

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    Taschenbuch. Zustand: Neu. Optimized Convolution Neural Network (OCNN) for VBSLR | Optimized Convolution Neural Network (OCNN) for Voice-Based Sign Language Recognition: Optimization & Regularization | Suman Kumar Swarnkar (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203927931 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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    Paperback. Zustand: Brand New. 262 pages. 6.14x0.64x9.21 inches. In Stock.

  • Sprache: Englisch

    Verlag: CRC Press, 2026

    1032832827 / 9781032832821

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    Zustand: New. Amol Dattatray Dhaygude is a renowned professional in the field of machine learning, artificial intelligence, data science and computer science. He is an alumnus of University of Washington, Seattle, USA with a master of science degree in data sci.

  • Sprache: Englisch

    Verlag: CRC Press, 2026

    1032761474 / 9781032761473

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    Zustand: New. Suman Kumar Swanrkar received a Ph.D. (CSE) degree in 2021 from Kalinga University, Nayaraipur, Chhattisgarh. He received an M.Tech. (CSE) degree in 2015 from the Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India. He has 12+ years of experie.

  • Sprache: Englisch

    Verlag: Taylor & Francis Ltd (Sales) Jul 2026, 2026

    1032832827 / 9781032832821

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    Taschenbuch. Zustand: Neu. Neuware - This book, Smart Agriculture: Harnessing Machine Learning for Crop Management, is a comprehensive guide designed to explore the various facets of integrating machine learning into agricultural practices. It aims to provide readers with a solid foundation in machine learning concepts while demonstrating their practical applications in real-world farming scenarios. It also examines the role of remote monitoring and precision agriculture, highlighting how technologies such as remote sensing and recurrent neural networks can optimize farming practices.This book: - Emphasizes sustainable agricultural practices and data-driven decision-making for eco-friendly farming. - Highlights the importance of using environmentally friendly practices, and how machine learning can play a pivotal role in achieving sustainability goals. - Discusses topics such as crop optimization, disease detection, pest control, resource management, precision agriculture, and sustainability. - Covers predictive analytics for weather forecasting, Internet of Things applications for precision agriculture, and the role of sensors in data collection. - Illustrates optimizing resource allocation, irrigation with artificial intelligence, and machine learning for soil health assessment. Whether you are a researcher, a student, an agricultural professional, or a technology enthusiast, this book offers valuable insights into the transformative power of machine learning in agriculture. It invites readers to explore the potential of machine learning to transform farming practices, improve food security, and promote environmental sustainability.…

  • Sprache: Englisch

    Verlag: Taylor & Francis Ltd (Sales) Jun 2026, 2026

    1032761474 / 9781032761473

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    Taschenbuch. Zustand: Neu. Neuware - This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing.Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence serves as a comprehensive guide to navigating this exciting terrain where artificial intelligence meets the rich tapestry of visual and auditory data. At its core, this book seeks to unravel the mysteries and unveil the potential of machine learning in the realm of multimedia. Whether it's enhancing user experiences in virtual environments, revolutionizing medical diagnostics, or shaping the future of entertainment, the impact of machine learning in multimedia is profound and far-reaching. The journey begins with a thorough exploration of the foundational principles of machine learning, providing readers with a solid understanding of algorithms, models, and techniques tailored specifically for multimedia data. Through clear explanations and illustrative examples, readers will gain insights into how machine learning algorithms can be trained to extract meaningful patterns and insights from diverse forms of multimedia content. Moving beyond theory, this book delves into practical implementations and real-world applications of machine learning in multimedia. Through a series of case studies and examples, readers will witness firsthand how machine learning algorithms are transforming industries and reshaping the way we interact with multimedia content. Whether it's improving image recognition accuracy in autonomous vehicles, enabling personalized recommendations in streaming platforms, or enhancing speech recognition systems for better accessibility, the possibilities are limitless.This book will be helpful to computer science, data science, and artificial intelligence researchers, students, and professionals looking to unlock the full potential of visual and auditory intelligence through the power of machine learning.…

  • Sprache: Englisch

    Verlag: CRC Press, 2024

    1032761482 / 9781032761480

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    Zustand: New. In English.

  • Sprache: Englisch

    Verlag: Taylor & Francis Ltd (Sales) Jun 2026, 2026

    1032945443 / 9781032945446

    Serie: Buch 7 von 9 - Future Generation Information Systems

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    Taschenbuch. Zustand: Neu. Neuware - In the ever-evolving landscape of cancer treatment, the fusion of artificial intelligence (AI) with medical science marks a groundbreaking shift toward more precise, efficient, and personalized healthcare. Artificial Intelligence Revolutionizing Cancer Care: Precision Diagnosis and Patient-Centric Healthcare delves into the transformative power of AI, offering a comprehensive exploration of its role in enhancing cancer diagnosis, treatment, and patient management. This edited volume brings together leading experts and researchers who illuminate the latest advancements in AI technologies applied to oncology. From machine learning algorithms that predict cancer progression to sophisticated imaging techniques that improve diagnostic accuracy, this book covers a spectrum of innovations reshaping cancer care. Key highlights include precision diagnosis, uncovering how AI-driven tools are revolutionizing the early detection and accurate classification of various cancer types, leading to better patient outcomes; patient-centric approaches, exploring the shift toward personalized medicine, where AI tailors treatment protocols to individual patient profiles, ensuring more effective and targeted therapies; and ethical and practical considerations, gaining insights into the ethical, practical, and regulatory challenges of integrating AI in healthcare, emphasizing the need for patient privacy and data security. Additionally, the book looks ahead to the potential future applications of AI in oncology, including predictive analytics, robotic surgery, and beyond. Artificial Intelligence Revolutionizing Cancer Care is an essential resource for medical professionals, researchers, and students seeking to understand the intersection of AI and oncology. It offers a visionary perspective on how cutting-edge technology is poised to enhance patient care and transform the fight against cancer.This book - focuses on the critical intersection of artificial intelligence and cancer diagnosis within the healthcare sector - emphasizes the real-world impact of artificial intelligence in improving cancer detection, treatment, and overall patient care - covers artificial intelligence algorithms, machine learning techniques, medical image analysis, predictive modeling, and patient care applications - explores how artificial intelligence technologies enhance the patient's experience, resulting in better outcomes and reduced healthcare disparities - provides readers with an understanding of the mathematics underpinning machine learning models, including decision trees, support vector machines, and deep neural networks It 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, biomedical engineering, and information technology. …

  • Sprache: Englisch

    Verlag: CRC Press, 2024

    1032832800 / 9781032832807

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  • Sprache: Englisch

    Verlag: CRC Pr I Llc, 2024

    1032761482 / 9781032761480

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    Hardcover. Zustand: Brand New. 192 pages. 9.18x6.12x9.21 inches. In Stock.

  • Sprache: Englisch

    Verlag: CRC Pr I Llc, 2024

    1032832800 / 9781032832807

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    Hardcover. Zustand: Brand New. 216 pages. 9.18x6.12x9.21 inches. In Stock.

  • Sprache: Englisch

    Verlag: Wiley, 2024

    1119786347 / 9781119786344

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

  • Sprache: Englisch

    Verlag: CRC Press, 2025

    1032833068 / 9781032833064

    Serie: Buch 7 von 9 - Future Generation Information Systems

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    Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books

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  • Sprache: Englisch

    Verlag: Wiley-Scrivener, 2024

    1119786347 / 9781119786344

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