Leveraging Iot Machine Learning (30 results)

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Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.

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Hardcover. Condition: new. Hardcover. The integration of the Internet of Things (IoT) and machine learning (ML) transforms the way cities are planned, developed, and managed, creating a new era of smart urban planning. By connecting physical infrastructure with real-time data, IoT devices enable cities to collect and analyze large amounts of information on data like traffic patterns and energy usage to air quality and public services. When paired with the predictive capabilities of machine learning, this data can optimize urban systems, enhance sustainability, and improve residential quality of life. Smart urban planning powered by IoT and ML facilitates more efficient resource management while fostering greater resilience in the face of urban challenges, such as population growth, environmental pressures, and climate change. This innovative approach may help create cities that are smarter, more adaptive, and better equipped to meet future needs. Leveraging IoT and Machine Learning for Smart Urban Planning explores the integration of IoT and machine learning technologies to create smarter, more efficient, and sustainable environments. It covers theoretical foundations, practical applications, and real-world case studies across various sectors including urban planning, transportation, energy management, agriculture, healthcare, water resources, and waste management. This book covers topics such as citizen engagement, renewable energy, smart cities, and is a useful resource for policymakers, business owners, engineers, sociologists, academicians, researchers, and data scientists. "The objective of the book is to explore and demonstrate how advanced technologies like the Internet of Things (IoT) and machine learning can be applied to urban planning to make cities smarter, more efficient, and more sustainable"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Condition: new. Paperback. The integration of the Internet of Things (IoT) and machine learning (ML) transforms the way cities are planned, developed, and managed, creating a new era of smart urban planning. By connecting physical infrastructure with real-time data, IoT devices enable cities to collect and analyze large amounts of information on data like traffic patterns and energy usage to air quality and public services. When paired with the predictive capabilities of machine learning, this data can optimize urban systems, enhance sustainability, and improve residential quality of life. Smart urban planning powered by IoT and ML facilitates more efficient resource management while fostering greater resilience in the face of urban challenges, such as population growth, environmental pressures, and climate change. This innovative approach may help create cities that are smarter, more adaptive, and better equipped to meet future needs. Leveraging IoT and Machine Learning for Smart Urban Planning explores the integration of IoT and machine learning technologies to create smarter, more efficient, and sustainable environments. It covers theoretical foundations, practical applications, and real-world case studies across various sectors including urban planning, transportation, energy management, agriculture, healthcare, water resources, and waste management. This book covers topics such as citizen engagement, renewable energy, smart cities, and is a useful resource for policymakers, business owners, engineers, sociologists, academicians, researchers, and data scientists. "The objective of the book is to explore and demonstrate how advanced technologies like the Internet of Things (IoT) and machine learning can be applied to urban planning to make cities smarter, more efficient, and more sustainable"-- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condition: new. Hardcover. "The objective of the book is to explore and demonstrate how advanced technologies like the Internet of Things (IoT) and machine learning can be applied to urban planning to make cities smarter, more efficient, and more sustainable"-- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condition: new. Hardcover. The integration of the Internet of Things (IoT) and machine learning (ML) transforms the way cities are planned, developed, and managed, creating a new era of smart urban planning. By connecting physical infrastructure with real-time data, IoT devices enable cities to collect and analyze large amounts of information on data like traffic patterns and energy usage to air quality and public services. When paired with the predictive capabilities of machine learning, this data can optimize urban systems, enhance sustainability, and improve residential quality of life. Smart urban planning powered by IoT and ML facilitates more efficient resource management while fostering greater resilience in the face of urban challenges, such as population growth, environmental pressures, and climate change. This innovative approach may help create cities that are smarter, more adaptive, and better equipped to meet future needs. Leveraging IoT and Machine Learning for Smart Urban Planning explores the integration of IoT and machine learning technologies to create smarter, more efficient, and sustainable environments. It covers theoretical foundations, practical applications, and real-world case studies across various sectors including urban planning, transportation, energy management, agriculture, healthcare, water resources, and waste management. This book covers topics such as citizen engagement, renewable energy, smart cities, and is a useful resource for policymakers, business owners, engineers, sociologists, academicians, researchers, and data scientists. "The objective of the book is to explore and demonstrate how advanced technologies like the Internet of Things (IoT) and machine learning can be applied to urban planning to make cities smarter, more efficient, and more sustainable"-- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Cognitive IoT - Leveraging Machine Learning for Smarter Environments presents a comprehensive guide to the application of machine learning and artificial intelligence in IoT environments. The author explores the latest advancements in cognitive computing and their potential to transform the way we interact with and manage IoT systems. By leveraging real-world examples and case studies, this book demonstrates how cognitive IoT can be used to create more intelligent, adaptive, and responsive systems that can learn from experience and make data-driven decisions. With its focus on practical implementation and real-world applications, this book is an essential resource for developers, architects, and engineers working on IoT projects that demand high levels of intelligence and autonomy. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Innovation Through Technology - A Study on Leveraging Ai, Machine Learning, and Iot presents a forward-thinking exploration of the transformative power of emerging technologies, including AI, machine learning, and IoT. This book examines the latest breakthroughs and innovations in these fields, highlighting their potential to drive business growth, improve operational efficiency, and enhance customer experiences. By applying the principles outlined in Innovation Through Technology - A Study on Leveraging Ai, Machine Learning, and Iot, readers can unlock new opportunities for innovation and stay ahead of the competition. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Cognitive IoT - Leveraging Machine Learning for Smarter Environments presents a cutting-edge approach to IoT development, focusing on the application of machine learning techniques to create more intelligent and autonomous IoT systems. This book explores the different types of machine learning algorithms and their applications in IoT, from predictive maintenance to anomaly detection. Readers will learn how to integrate machine learning models into their IoT projects, using popular frameworks and libraries. By leveraging the power of machine learning, developers can create IoT systems that can adapt, learn, and improve over time, leading to more efficient and effective outcomes. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Cognitive IoT - Leveraging Machine Learning for Smarter Environments explores the integration of artificial intelligence with IoT ecosystems to create intelligent, adaptive systems. The book covers machine learning algorithms tailored for IoT data, enabling predictive analytics, anomaly detection, and decision-making automation. It highlights how cognitive capabilities can transform environments into responsive and self-optimizing spaces. The focus is on designing systems that learn from data patterns, enhancing efficiency, safety, and user experience across various sectors. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Microsoft Defender for IoT helps organizations identify and respond to threats aimed at IoT devices, increasingly becoming targets for cyberattacks. This book discusses planning, deploying, and managing your Defender for IoT system. The book is a comprehensive guide to IoT security, addressing the challenges and best practices for securing IoT ecosystems.The book starts with an introduction and overview of IoT in Azure. It then discusses IoT architecture and gives you an overview of Microsoft Defender. You also will learn how to plan and work with Microsoft Defender for IoT, followed by deploying OT Monitoring. You will go through air-gapped OT sensor management and enterprise IoT monitoring. You also will learn how to manage and monitor your Defender for IoT systems with network alerts and data. After reading this book, you will be able to enhance your skills with a broader understanding of IoT and Microsoft Defender for IoT-integrated best practices to design, deploy, and manage a secure enterprise IoT environment using Azure.What You Will LearnUnderstand Microsoft security services for IoTGet started with Microsoft Defender for IoTPlan and design a security operations strategy for the IoT environmentDeploy security operations for the IoT environmentManage and monitor your Defender for IoT SystemWho This Book Is ForCybersecurity architects and IoT engineers.