Intelligent Communication Technologies and Virtual Mobile Networks (eBook, PDF)

ICICV 2019
Redaktion: Balaji, S.; Chung, Yi-Nan; Rocha, Álvaro

• Format: PDF

Produktbeschreibung

This book presents the outcomes of the Intelligent Communication Technologies and Virtual Mobile Networks Conference (ICICV 2019) held in Tirunelveli, India, on February 14-15, 2019. It presents the state of the art in the field, identifying emerging research topics and communication technologies and defining the future of intelligent communication approaches and virtual computing. In light of the tremendous growth ICT, it examines the rapid developments in virtual reality in communication technology and high-quality services in mobile networks, including the integration of virtual mobile computing and communication technologies, which permits new technologies based on the resources and services of computational intelligence, big data analytics, Internet of Things (IoT), 5G technology, automation systems, sensor networks, augmented reality, data mining, and vehicular ad hoc networks with massive cloud-based backend. These services have a significant impact on all areas of daily life, like transportation, e-commerce, health care, secure communication, location detection, smart home, smart city, social networks and many more.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 669
• Erscheinungstermin: 12. August 2019
• Englisch
• ISBN-13: 9783030283643
• Artikelnr.: 57532598

Inhaltsangabe

Cluster Restructuring and Compressive Data Gathering for Transmission Efficient Wireless Sensor Network.- A Review on Infrared and Visible Image Fusion Techniques.- Condition Monitoring of Coal Mine Using Ensemble Boosted Tree Regression Model.- A Study of Biology-based Congestion Control Algorithms for Wireless Sensor Network.- A comparison of GFDM and OFDM at Same and Different Spectral Efficiency Condition.- An Extensive Survey on Recent Machine Learning Algorithms for Diabetes Mellitus Prediction.- Cab Service Communication in Transportation Classification Techniques.- Facial Analysis Using Deep Learning.- Various Face Annotation Techniques: Survey.