Liebe Besucherinnen und Besucher,
aufgrund unseres Sommerfestes sind wir am 03. September 2026 bis 14 Uhr erreichbar. Am 04. September 2026 sind wir wieder wie gewohnt für Sie da. Vielen Dank für Ihr Verständnis.
Ihr Team von Sack Fachmedien
Park / Camacho / Gritzalis Proceedings of CSA 2025
Erscheinungsjahr 2026
ISBN: 978-981-957896-2
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
Advances in Computer Science and Ubiquitous Computing
E-Book, Englisch, 474 Seiten
Reihe: Engineering (R0)
ISBN: 978-981-957896-2
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book presents the combined proceedings of the 17th International Conference on Computer Science and its Applications (CSA 2025) in Phu Quoc, Vietnam, December 18–20, 2025. This proceedings reflects the state of the art in the development of computational methods, involving theory, algorithms, numerical simulation, error and uncertainty analysis, and novel applications of new processing techniques in engineering, science, and other disciplines related to ubiquitous computing.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
1. Tobacco strand structure segmentation method based on Encoder-only Mask Transformer deep model.- 2. Dual-Profile Modeling for Tobacco Sensory Evaluation via Graph Algorithms and Deep Learning.- 3. Machine Learning Approaches to Predict Shareholder Returns in the Hotel Industry.- 4. FIT-ConferenceHub: From Design to Real-World Application of an LLM-Based System for Academic Conference Discovery in the ICT Domain.- 5. A Study on Home Integrated Energy System Optimization Based on Deep Reinforcement Learning.- 6. Deep Learning for Multimodal Medical Image Fusion: A Concise Review.- 7. Design and Test of Pile Foundation Borehole Debris Cleaning Robot System.- 8. Smart and Sustainable Agriculture: Offline Reinforcement Learning for Intelligent Handover in Hybrid VLC/RF Agricultural IoT Networks.- 9. Leveraging 3D Facial Reconstruction to Enhance Micro-Expression Recognition.- 10. Optimized caching strategy based on mutual dependency of content and space size.




