khalifa sara (25 resultados)

Condición: New. In.

Hardcover. Condición: Brand New. 185 pages. 9.25x6.10x0.63 inches. In Stock.

Condición: New. 2023rd edition NO-PA16APR2015-KAP.

Condición: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers cutting edge advancements on self-powered Internet of Things, where sensing devices can be energy-positive while capturing context from the physical world. It provides new mechanisms for activity recognition without the need of conventional inertial sensors, which demand significant energy during their operation and thus quickly deplete the batteries of internet-of-things (IoT) devices. The book offers new solutions by employing energy harvesters as activity sensors as well as power sources to enable the autonomous and self-powered operation of IoT devices without the need of human intervention. It provides useful content for graduate students as well as researchers to understand the nascent technologies of human activity, fitness and health monitoring using autonomous sensors. In particular, this book is very useful for people working on pervasive computing, activity recognition, wearable IoT, fitness/healthcare and autonomous systems.This book covers a broad range of topics related to self-powered activity recognition. The main topics of this book include wearables, IoT, energy harvesting, energy harvesters as sensors, activity recognition and self-powered operation of IoT devices. This book starts with the introduction of wearable IoT devices and activity recognition and then highlights the conventional activity recognition mechanisms. After that, it describes the use of energy harvesters to power the IoT devices. Later, it explores the use of various energy harvesters as activity sensors. It also proposes the use of energy harvesters as simultaneous source of energy and context information and defines the emerging concept of energy-positive sensing compared to conventional energy-negative sensing. Finally, it explores sensor/signal fusion to enhance the performance using multiple energy harvesters and charts a way forward for future research in this area.This book covers all important and emerging topics that have significance in the design and implementation of autonomous wearable IoT devices. We believe that this book will lay the foundation for designing self-powered IoT devices which can ultimately replace the conventional wearable IoT devices which need regular recharging and replacement.

Taschenbuch. Condición: Neu. Machine Learning for Drone-Enabled IoT Networks | Opportunities, Developments, and Trends | Jahan Hassan (u. a.) | Taschenbuch | Advances in Science, Technology & Innovation | ix | Englisch | 2026 | Springer | EAN 9783031809637 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Hardcover. Condición: Brand New. 185 pages. 9.25x6.10x0.63 inches. In Stock.

Condición: New.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aerial unmanned vehicles (UAVs), commonly known as drones. The book aims to include cutting edge research and development on a number of areas within the topic including but not limited to: -Machine learning algorithms for drone-enabled IoT networks -Sensing and data collection with drones for IoT applications -Data analysis and processing for IoT networks assisted by drones -Energy-efficient and scalable solutions for drone-assisted IoT networks -Security and privacy issuesin drone-enabled IoT networks -Emerging trends and future directions in ML for drone-assisted IoT networks.

Condición: new. Questo è un articolo print on demand.

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book covers cutting edge advancements on self-powered Internet of Things, where sensing devices can be energy-positive while capturing context from the physical world. It provides new mechanisms for activity recognition without the need of conventional.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book covers cutting edge advancements on self-powered Internet of Things, where sensing devices can be energy-positive while capturing context from the physical world. It provides new mechanisms for activity recognition without the need of conventional.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aerial unmanned vehicles (UAVs), commonly known as drones. The book aims to include cutting edge research and development on a number of areas within the topic including but not limited to: -Machine learning algorithms for drone-enabled IoT networks -Sensing and data collection with drones for IoT applications -Data analysis and processing for IoT networks assisted by drones -Energy-efficient and scalable solutions for drone-assisted IoT networks -Security and privacy issuesin drone-enabled IoT networks -Emerging trends and future directions in ML for drone-assisted IoT networks. 220 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aerial unmanned vehicles (UAVs), commonly known as drones. The book aims to include cutting edge research and development on a number of areas within the topic including but not limited to: -Machine learning algorithms for drone-enabled IoT networks -Sensing and data collection with drones for IoT applications -Data analysis and processing for IoT networks assisted by drones -Energy-efficient and scalable solutions for drone-assisted IoT networks -Security and privacy issuesin drone-enabled IoT networks -Emerging trends and future directions in ML for drone-assisted IoT networks. 220 pp. Englisch.

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Condición: New. PRINT ON DEMAND.

Buch. Condición: Neu. Machine Learning for Drone-Enabled IoT Networks | Opportunities, Developments, and Trends | Jahan Hassan (u. a.) | Buch | Advances in Science, Technology & Innovation | ix | Englisch | 2025 | Springer | EAN 9783031809606 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aerial unmanned vehicles (UAVs), commonly known as drones. The book aims to include cutting edge research and development on a number of areas within the topic including but not limited to: ¿Machine learning algorithms for drone-enabled IoT networks ¿Sensing and data collection with drones for IoT applications ¿Data analysis and processing for IoT networks assisted by drones ¿Energy-efficient and scalable solutions for drone-assisted IoT networks ¿Security and privacy issuesin drone-enabled IoT networks ¿Emerging trends and future directions in ML for drone-assisted IoT networks.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 220 pp. Englisch.

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aerial unmanned vehicles (UAVs), commonly known as drones. The book aims to include cutting edge research and development on a number of areas within the topic including but not limited to: ¿Machine learning algorithms for drone-enabled IoT networks ¿Sensing and data collection with drones for IoT applications ¿Data analysis and processing for IoT networks assisted by drones ¿Energy-efficient and scalable solutions for drone-assisted IoT networks ¿Security and privacy issuesSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 220 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aerial unmanned vehicles (UAVs), commonly known as drones. The book aims to include cutting edge research and development on a number of areas within the topic including but not limited to: -Machine learning algorithms for drone-enabled IoT networks -Sensing and data collection with drones for IoT applications -Data analysis and processing for IoT networks assisted by drones -Energy-efficient and scalable solutions for drone-assisted IoT networks -Security and privacy issuesin drone-enabled IoT networks -Emerging trends and future directions in ML for drone-assisted IoT networks.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.