Pandey Digvijay Muniandi Balakumar Binay (20 results)

Condition: New. In.

Paperback. Condition: new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New. In.

Paperback. Condition: new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New. In.

Paperback. Condition: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: new. Hardcover. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condition: new. Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New. In.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: new. Paperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: new. Hardcover. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condition: new. Hardcover. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.