Machine Learning and Intelligent Communication
7th EAI International Conference, MLICOM 2022, Virtual Event, October 23-24, 2022, Proceedings
(Sprache: Englisch)
This book constitutes the refereed post-conference proceedings of the 7th International Conference on Machine Learning and Intelligent Computing which was held in October 2022 in Jinhua, China. Due to COVID-19 pandemic the conference was held virtually.
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Klappentext zu „Machine Learning and Intelligent Communication “
This book constitutes the refereed post-conference proceedings of the 7th International Conference on Machine Learning and Intelligent Computing which was held in October 2022 in Jinhua, China. Due to COVID-19 pandemic the conference was held virtually.The 16 full papers of MLICOM 2022 were selected from 41 submissions and are clustered in thematical issues on applications of neural network and deep learning; intelligent massive MIMO communications; machine learning algorithms and intelligent networks.
Inhaltsverzeichnis zu „Machine Learning and Intelligent Communication “
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.
Bibliographische Angaben
- 2023, 1st ed. 2023, XII, 182 Seiten, 85 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Xiaolin Jiang
- Verlag: Springer, Berlin
- ISBN-10: 3031302362
- ISBN-13: 9783031302367
Sprache:
Englisch
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