Machine Learning and Intelligent Communication 7th EAI International Conference, MLICOM 2022, Virtual Event, October 23-24, 2022, Proceedings
by
 
Jiang, Xiaolin. editor.

Title
Machine Learning and Intelligent Communication 7th EAI International Conference, MLICOM 2022, Virtual Event, October 23-24, 2022, Proceedings

Author
Jiang, Xiaolin. editor.

ISBN
9783031302374

Edition
1st ed. 2023.

Physical Description
XII, 182 p. 109 illus., 85 illus. in color. online resource.

Series
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 481

Contents
Secure and Reliable Transmission via Intelligent Reflecting Surface Integrated on Unmanned Aerial Vehicle -- An Improved Dynamic Spectrum Access Algorithm Based on Reinforcement Learning -- Inception Resnet V2-ECANet Based on Gramian Angular Field Image for Specific Emitter Identification -- Automated Metal Surface Defect Detection -- Design and implementation of intelligent truck based on Azure Kinect -- A Comparison of Discrete Event Simulator and Real-time Emulator for Mobile Ad hoc Network -- A data-driven algorithm for large-scale multi-camera calibration -- Efficient Transmission Protocols for the Satellite-Terrestrial Integrated Networks -- A Reinforcement Learning Based Resource Access Strategy for Satellite-Terrestrial Integrated Networks -- A RF Fingerprint Clustering Method Based on Automatic Feature Extractor -- Across Online Social Network User Identification Based on Usernames -- A Weakly Supervised Text Classification Method Based On Vocabulary Construction -- Research on the construction and application of knowledge graph in the field of open data policy -- Comparative study on the methods of atmospheric early warning based on machine learning -- Image Segmentation Based on Fuzzy Method -- Design and Analysis on U-VLC-CC-CDMA Systems.

Added Author
Jiang, Xiaolin.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-031-30237-4


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book520400-1001XX(520400.1)Elektronik Kütüphane