misra prasant (18 Ergebnisse)

Taschenbuch. Zustand: 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.

Zustand: New.

Buch. Zustand: 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.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Location sensing provides endless opportunities for a wide range of applications in GPS-obstructed environments; where, typically, there is a need for a higher degree of accuracy. This work focuses on robust range estimation, an important prerequisite for fine- grained localization. Motivated by the promise of acoustics in delivering high ranging accuracy, it presents the design, implementation and evaluation of acoustic (both ultrasound and audible) ranging systems. It distills the limitations of acoustic ranging; and presents efficient signal designs, detection algorithms, and information processing frameworks to overcome the challenges of coverage, range, accuracy/resolution, tolerance to the Doppler effect, audible intensity, and energy consumption. 252 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Misra Prasant KumarPrasant is a senior member, technical staff at the Robert Bosch Centre for Cyber Physical Systems in the Indian Institute of Science, Bangalore, India. He performs research in sensing and energy-efficient computing.

Taschenbuch. Zustand: Neu. Acoustical localization techniques | Prasant Kumar Misra | Taschenbuch | 252 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659510786 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Location sensing provides endless opportunities for a wide range of applications in GPS-obstructed environments; where, typically, there is a need for a higher degree of accuracy. This work focuses on robust range estimation, an important prerequisite for fine- grained localization. Motivated by the promise of acoustics in delivering high ranging accuracy, it presents the design, implementation and evaluation of acoustic (both ultrasound and audible) ranging systems. It distills the limitations of acoustic ranging; and presents efficient signal designs, detection algorithms, and information processing frameworks to overcome the challenges of coverage, range, accuracy/resolution, tolerance to the Doppler effect, audible intensity, and energy consumption.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 252 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Location sensing provides endless opportunities for a wide range of applications in GPS-obstructed environments; where, typically, there is a need for a higher degree of accuracy. This work focuses on robust range estimation, an important prerequisite for fine- grained localization. Motivated by the promise of acoustics in delivering high ranging accuracy, it presents the design, implementation and evaluation of acoustic (both ultrasound and audible) ranging systems. It distills the limitations of acoustic ranging; and presents efficient signal designs, detection algorithms, and information processing frameworks to overcome the challenges of coverage, range, accuracy/resolution, tolerance to the Doppler effect, audible intensity, and energy consumption.

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

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

Taschenbuch. Zustand: 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.

Buch. Zustand: 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.

Buch. Zustand: 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. Zustand: 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. Zustand: 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. Zustand: 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.

Zustand: New. Print on Demand.

Zustand: New. PRINT ON DEMAND.