Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024) Volume 2 /

Proceedings of the 3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM2024) Volume 2 /

Bibliographische Detailangaben
Körperschaft: SpringerLink (Online service)
Weitere Verfasser: Sun, Fuchun (HerausgeberIn), Wang, Hesheng (HerausgeberIn), Long, Han (HerausgeberIn), Wei, Yifei (HerausgeberIn), Yu, Hongqi (HerausgeberIn)
Zusammenfassung:XIII, 338 p. 216 illus., 177 illus. in color.
text
Sprache:Englisch
Veröffentlicht: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Ausgabe:1st ed. 2025.
Schriftenreihe:Lecture Notes in Electrical Engineering, 1327
Schlagworte:
Control engineering.
Robotics.
Automation.
Machine learning.
Cloud Computing.
Control, Robotics, Automation.
Control and Systems Theory.
Machine Learning.
Online-Zugang:https://doi.org/10.1007/978-981-96-1694-7
Format: Elektronisch Buch
Inhaltsangabe:
  • -- 1 PTS-NET: A Parallel Dual-stage Network for Raw Low-light Image Enhancement and Denoising.
  • 2 A Sample-Quality-Based Imitation Approach For Offline Reinforcement Learning.
  • 3 Improving the Lightweight Pose Detection Model based on YOLOpose.
  • 4 Collaborative tasks and resource allocation of multi-UAV for multi-target attacks.
  • 5 Quality of AI Service Assurance in 6G Native Artificial Intelligence Networks.
  • 6 Matching screening method based on panoramic disparity.

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