Produktbild: Multimedia Big Data Computing for IoT Applications
Band 163

Multimedia Big Data Computing for IoT Applications Concepts, Paradigms and Solutions

77,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Lieferung nach Hause

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.08.2020

Herausgeber

Sudeep Tanwar + weitere

Verlag

Springer Singapore

Seitenzahl

477

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

842 g

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-981-13-8761-6

Beschreibung

Portrait

Sudeep Tanwar is an Associate Professor in the Computer Engineering Department at the Institute of Technology of Nirma University, Ahmedabad, India. He received his Ph.D. in 2016 from the Faculty of Engineering and Technology, Mewar University, India, with a specialization in Wireless Sensor Networks. His current interests include routing issues in WSN, integration of sensors in the cloud, computational aspects of smart grids, and assessment of fog computing in BASN. He has authored three books: Routing in Heterogeneous Wireless Sensor Networks (ISBN: 978-3-330-02892-0), Big Data Analytics (ISBN: 978-93-83992-25-8), and Mobile Computing (ISBN: 978-93-83992-25-6). He is an associate editor of the Security and Privacy Journal, and is a member of the IAENG, ISTE, and CSTA. Dr. Sudhanshu Tyagi is an Assistant Professor in the Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Deemed University, India. Hereceived his Ph.D. in 2016 from the Faculty of Engineering and Technology, Mewar University, India, with a specialization in Wireless Sensor Networks; and a Master’s degree in Technology with honors in Electronics & Communication Engineering in 2005 from the National Institute of Technology, Kurukshetra, India. His research focuses on wireless sensor networks and body area sensor networks. He has co-authored two books:Big Data Analytics (ISBN: 978-93-83992-25-8), and Mobile Computing (ISBN: 978-93-83992-25-6). He is an associate editor of the Security and Privacy Journal, and is a member of the IEEE, IAENG, ISTE, and CSTA. Dr. Neeraj Kumar is currently an Associate Professor in the Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Deemed University, India. He received his Ph.D. degree in Computer Science and Engineering from Shri Mata Vaishno Devi University, India, in 2009. He was then a Postdoctoral Research Fellow at Coventry University, U.K. His research focuses on distributed systems, security and cryptography and body area networks. He is on the editorial board of the Journal of Network and Computer Applications and the International Journal of Communication Systems. He has published more than 150 research papers in leading journals and conferences in the areas of communications, security and cryptography. He is also a member of the IEEE and IEEE ComSoc.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

15.08.2020

Herausgeber

Verlag

Springer Singapore

Seitenzahl

477

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

842 g

Auflage

1st ed. 2020

Sprache

Englisch

ISBN

978-981-13-8761-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Multimedia Big Data Computing for IoT Applications
  • Multimedia Big data computing for IoT .- Energy Conservation in MMBD Computing and IoT - A Challenge.- An Architecture for the Real-Time Data Stream Monitoring in IoT.- Deep learning for Multimedia data in IoT.- Random Forest based Sarcastic Tweet Classification using multiple feature Collection.- Peak Average Power Ratio reduction in FBMC using SLM & PTS techniques.- Intelligent Personality Analysis on Indicators in IoT-MMBD Enabled Environment.- Data Reduction in MMBD Computing.- Large Scale MMBD Management and Retrieval.- Data Reduction Technique for Capsule Endoscopy.- Multimedia Social Big Data: Mining.- Advertisement prediction in social media environment using big data framework.