Machine Learning and Intelligent Communications
Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings
Editors: Limin, Meng, Zhang, Yan (Eds.)
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- About this book
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This volume constitutes the refereed post-conference proceedings of the Third International Conference on Machine Learning and Intelligent Communications, MLICOM 2018, held in Hangzhou, China, in July 2018.
The 66 revised full papers were carefully selected from 102 submissions. The papers are organized thematically in machine learning, intelligent positioning and navigation, intelligent multimedia processing and security, wireless mobile network and security, cognitive radio and intelligent networking, IoT, intelligent satellite communications and networking, green communication and intelligent networking, ad-hoc and sensor networks, resource allocation in wireless and cloud networks, signal processing in wireless and optical communications, and intelligent cooperative communications and networking.
- Table of contents (66 chapters)
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Gun Identification Using Tensorflow
Pages 3-12
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A Research of Network Applications Classification Based on Deep Learning
Pages 13-21
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Real-Time Drone Detection Using Deep Learning Approach
Pages 22-32
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Deep Reinforcement Learning-Based Task Offloading and Resource Allocation for Mobile Edge Computing
Pages 33-42
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RFID Data-Driven Vehicle Speed Prediction Using Adaptive Kalman Filter
Pages 43-51
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Table of contents (66 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Machine Learning and Intelligent Communications
- Book Subtitle
- Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings
- Editors
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- Meng Limin
- Yan Zhang
- Series Title
- Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- Series Volume
- 251
- Copyright
- 2018
- Publisher
- Springer International Publishing
- Copyright Holder
- ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- eBook ISBN
- 978-3-030-00557-3
- DOI
- 10.1007/978-3-030-00557-3
- Softcover ISBN
- 978-3-030-00556-6
- Series ISSN
- 1867-8211
- Edition Number
- 1
- Number of Pages
- XVII, 675
- Number of Illustrations
- 310 b/w illustrations
- Topics
