Muniandi Balakumar (24 results)

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  • Language: English

    Published by Engineering Science Reference, 2024

    9798369373682

    • Softcover

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  • Language: English

    Published by Engineering Science Reference, 2024

    9798369373675

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  • Language: English

    Published by Engineering Science Reference, 2024

    9798337310336

    • Softcover

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  • Language: English

    Published by Engineering Science Reference, 2024

    9798337310329

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  • Language: English

    Published by Engineering Science Reference, 2024

    9798369373682

    • Softcover

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  • Language: English

    Published by IGI Global, 2024

    9798369373682

    • Softcover

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  • Language: English

    Published by IGI Global, 2024

    9798369373682

    • Softcover

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  • Language: English

    Published by IGI Global, 2024

    9798369373675

    • Hardcover

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  • Language: English

    Published by Engineering Science Reference, 2024

    9798369373675

    • Hardcover

    Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections

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  • Language: English

    Published by Engineering Science Reference, 2024

    9798337310329

    • Hardcover

    Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices

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  • Language: English

    Published by Engineering Science Reference, 2024

    9798337310329

    • Hardcover

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  • Language: English

    Published by IGI Global, 2024

    9798337310336

    • Softcover

    Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK

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  • Language: English

    Published by IGI Global, 2024

    9798369373675

    • Hardcover

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  • Language: English

    Published by Engineering Science Reference, 2024

    9798337310336

    • Softcover

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  • Language: English

    Published by IGI Global, 2024

    9798337310336

    • Softcover

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  • Language: English

    Published by IGI Global, 2024

    9798337310329

    • Hardcover

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  • Language: English

    Published by Engineering Science Reference, 2024

    9798337310329

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  • Language: English

    Published by Engineering Science Reference, 2024

    9798337310329

    • Hardcover

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  • Language: English

    Published by IGI Global, 2024

    9798337310329

    • Hardcover

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  • Language: English

    Published by Engineering Science Reference, 2024

    9798337310329

    • Hardcover

    Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK

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  • Language: English

    Published by IGI Global, 2024

    9798369373682

    • Softcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Internet of Things (IoT) is revolutionizing manufacturing by enabling interconnected systems that enhance data collection, human-machine interaction, and intelligent control processes. However, the complexity of modern industrial environments presents challenges for signal processing, a critical component of IoT efficiency. Advances in intelligent, cost-effective, and energy-efficient signal processing algorithms are essential for overcoming these limitations and driving IoT innovation. Moreover, integrating IoT with technologies like artificial intelligence (AI), deep learning, and VLSI has expanded its applications, enabling more reliable, scalable, and compact solutions. These developments not only optimize industrial processes but also open new economic opportunities, reinforcing the importance of IoT in shaping the future of business and technology. Role of Internet of Everything (IOE), VLSI Architecture, and AI in Real-Time Systems explores the role of intelligent signal processing (ISP) and cutting-edge technologies like AI, deep learning, and VLSI in advancing IoT applications within manufacturing and business systems. It emphasizes innovative approaches to overcoming IoT challenges, focusing on cost-effective, energy-efficient solutions that drive reliability, scalability, and economic growth. Covering topics such as security systems, financial risk management, and workforce management, this book is an excellent resource for academicians, researchers, graduate students, practitioners, professionals, and more.

  • Language: English

    Published by IGI Global, 2024

    9798369373675

    • Hardcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Internet of Things (IoT) is revolutionizing manufacturing by enabling interconnected systems that enhance data collection, human-machine interaction, and intelligent control processes. However, the complexity of modern industrial environments presents challenges for signal processing, a critical component of IoT efficiency. Advances in intelligent, cost-effective, and energy-efficient signal processing algorithms are essential for overcoming these limitations and driving IoT innovation. Moreover, integrating IoT with technologies like artificial intelligence (AI), deep learning, and VLSI has expanded its applications, enabling more reliable, scalable, and compact solutions. These developments not only optimize industrial processes but also open new economic opportunities, reinforcing the importance of IoT in shaping the future of business and technology. Role of Internet of Everything (IOE), VLSI Architecture, and AI in Real-Time Systems explores the role of intelligent signal processing (ISP) and cutting-edge technologies like AI, deep learning, and VLSI in advancing IoT applications within manufacturing and business systems. It emphasizes innovative approaches to overcoming IoT challenges, focusing on cost-effective, energy-efficient solutions that drive reliability, scalability, and economic growth. Covering topics such as security systems, financial risk management, and workforce management, this book is an excellent resource for academicians, researchers, graduate students, practitioners, professionals, and more.

  • Language: English

    Published by IGI Global, 2024

    9798337310336

    • Softcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence (AI), the Internet of Everything (IoE), and Machine Learning (ML) are transforming modern society by driving innovation and improving efficiency across diverse fields. These technologies enable seamless connectivity, intelligent decision-making, and data-driven solutions that address complex global challenges. From revolutionizing industries like healthcare, education, and transportation to enhancing communication and resource management, their applications are vast and impactful. Interdisciplinary approaches are critical for unlocking their full potential, fostering collaboration across sectors to develop sustainable, ethical, and inclusive solutions. As these technologies continue to shape the future, they hold the promise of advancing societal progress while addressing pressing issues. Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning explores interdisciplinary approaches to harnessing AI, IoT, and ML to address complex challenges and drive innovation across various fields. It emphasizes collaborative strategies to develop sustainable, ethical, and impactful technological solutions for a rapidly evolving world. Covering topics such as artificial neural networks, management information systems, and supply chain management, this book is an excellent resource for researchers, technologists, industry professionals, educators, policymakers, and more.

  • Language: English

    Published by IGI Global, 2024

    9798337310329

    • Hardcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence (AI), the Internet of Everything (IoE), and Machine Learning (ML) are transforming modern society by driving innovation and improving efficiency across diverse fields. These technologies enable seamless connectivity, intelligent decision-making, and data-driven solutions that address complex global challenges. From revolutionizing industries like healthcare, education, and transportation to enhancing communication and resource management, their applications are vast and impactful. Interdisciplinary approaches are critical for unlocking their full potential, fostering collaboration across sectors to develop sustainable, ethical, and inclusive solutions. As these technologies continue to shape the future, they hold the promise of advancing societal progress while addressing pressing issues. Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning explores interdisciplinary approaches to harnessing AI, IoT, and ML to address complex challenges and drive innovation across various fields. It emphasizes collaborative strategies to develop sustainable, ethical, and impactful technological solutions for a rapidly evolving world. Covering topics such as artificial neural networks, management information systems, and supply chain management, this book is an excellent resource for researchers, technologists, industry professionals, educators, policymakers, and more.