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    • Nyhet

    Proceedings of CSA 2025

    Advances in Computer Science and Ubiquitous Computing

    AvJi Su Park,David Camacho

    Inbunden, Engelska, 2026

    Del 1583 i serien Lecture Notes in Electrical Engineering

    2 704 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    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.

    Produktinformation

    • Utgivningsdatum:2026-07-06
    • Mått:155 x 235 x 31 mm
    • Vikt:986 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Lecture Notes in Electrical Engineering
    • Antal sidor:474
    • Förlag:Springer Verlag, Singapore
    • ISBN:9789819578955

    Utforska kategorier

    • Elektronik och kommunikationer inom Naturvetenskap och teknik
    • Hårdvara inom Data och IT
    • Artificiell intelligens inom Data och IT

    Mer om författaren

    Ji Su Park received his B.S. and M.S. degrees in computer science from Korea National Open University, Korea, in 2003, 2005, respectively, and Ph.D. degrees in computer science education from Korea University, 2013. He is currently Professor in the Dept. of Computer Science and Engineering from Jeonju University in Korea. His research interests are in mobile grid computing, mobile cloud computing, cloud computing, distributed system, computer education, and IoT. He is employed as Editor-in-Chief of Transactions on Software and Data Engineering and Managing Editor of Human-centric Computing and Information Sciences (HCIS). In addition, he has been serving as Guest Editor for international journals by some publishers: Springer, MDPI.David Camacho is Full Professor at Computer Systems Engineering Department of Universidad Politécnica de Madrid (UPM). His research interests include machine learning (clustering/deep learning), computational intelligence (evolutionary computation and swarm intelligence), social network analysis, fake news, and disinformation analysis.Stefanos Gritzalis is Professor of Information and Communication Systems Security, at the Lab. of Systems Security, Dept. of Digital Systems, University of Piraeus, Greece (2019+), and Director of the Postgraduate Programme “MSc in Law and Information & Communication Technologies” (2020+). He is Member of the Board of the Hellenic Authority for Communication Security and Privacy (2020+). He is Deputy Member of the National Commission for Human Rights (2022+). He was Rector of the University of the Aegean, Greece (2014-2018). He has acted as Special Secretary for the Hellenic Ministry for Administrative Reform and Electronic Governance (2009-2012).James J. (Jong Hyuk) Park received Ph.D. degrees in Graduate School of Information Security from Korea University, Korea, and Graduate School of Human Sciences from Waseda University, Japan. From December 2002 to July 2007, Dr. Park had been Research Scientist of R&D Institute, Hanwha S&C Co., Ltd., Korea. From September 2007 to August 2009, he had been Professor at the Department of Computer Science and Engineering, Kyungnam University, Korea. He is now Professor at the Department of Computer Science and Engineering and Department of Interdisciplinary Bio IT Materials, Seoul National University of Science and Technology (SeoulTech), Korea.

    Innehållsförteckning

    • 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.