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Machine Learning and Intelligent Communication: 7th EAI International Conference, MLICOM 2022, Virtual Event, October 23-24, 2022, Proceedings 1st ed. 2023 [Pehme köide]

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Machine Learning and Intelligent Communication: 7th EAI International Conference, MLICOM 2022, Virtual Event, October 23-24, 2022, Proceedings 1st ed. 2023Suurem pilt
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Püsilink: https://www.kriso.ee/db/9783031302367.html
Märksõnad:
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.
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.