Leveraging Iot Machine Learning (29 results)

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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 370 | Sprache: Englisch | Produktart: Bücher | 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.

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Taschenbuch. Condition: Neu. Design and Deploy Microsoft Defender for IoT | Leveraging Cloud-based Analytics and Machine Learning Capabilities | Puthiyavan Udayakumar (u. a.) | Taschenbuch | xiv | Englisch | 2024 | Apress | EAN 9798868802386 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print 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.

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"-- This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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"-- This item is printed on demand. 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"-- This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Taschenbuch. Condition: Neu. Leveraging IoT and Machine Learning for Smart Urban Planning | Muneer Ahmad (u. a.) | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798369390313 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

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"-- This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Buch. Condition: Neu. Leveraging IoT and Machine Learning for Smart Urban Planning | Muneer Ahmad (u. a.) | Buch | Englisch | 2025 | IGI Global | EAN 9798369390306 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.