Proceedings of Innovative Computing 2026 Vol 2-Emerging Topics in Big Data

Proceedings of IC 2026
Erscheinungsjahr 2026
ISBN: 978-981-9207-70-1
Verlag: Springer

Buch, Englisch, 400 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Electrical Engineering

This volume presents selected papers from the 9th International Conference on Innovative Computing (IC 2026), held in Penang, Malaysia, January 18–22, 2026. It showcases cutting-edge research in information technology, science, and engineering.
The book covers a wide range of topics, including cloud communications and networking, high-performance computing, secure and interactive IoT architectures, satellite communications, wearable networks and systems, and infrastructure management.
Written by leading international experts, this collection serves as a valuable resource for researchers, academics, and practicing engineers seeking insights into emerging trends and technological advancements.

Zielgruppe

Research

Autoren/Hrsg.

Ma, Hao-Shang

Chan, Yu-Wei

Fachgebiete

• Mathematik | Informatik EDV | Informatik Professionelle Anwendung
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Analysis of Safety Monitoring Technology for Double T Plate Lifting Construction Based on Improved Genetic Algorithm.- An Adaptive Surrogate-Assisted Evolutionary Algorithm for Solving Expensive Multi Objective Problems.- Autonomous Control of Ship Electromechanical Systems Integrating Digital Twins and Reinforcement Learning.- Optimization of Construction Progress by Combining Critical Path Method with Computer Algorithms.- Design of an Intelligent Container Loading and Unloading Scheduling Algorithm for Ports Integrating Deep Learning and Reinforcement Learning.

Über Autor(innen)

Dr. Hao-Shang Ma received the Ph.D. degree from Institute of Computer and Communication Engineering, National Cheng Kung University in July 2022. Currently, he is an assistant professor in Department of Computer Science and Information Engineering at National Taichung University of Science and Technology. Since January 2021, he is the secretary of the Institution of Engineering and Technology (IET)—Taipei Network. Since April 2023, he is a guest editor of Special Issue of Sensors Journal. His research interests include Artificial Intelligence, Data Mining, Social Network Analysis, Recommender Systems, and Nature Language Processing.
Dr. Yu-Wei Chan received the B.S. and M.S. degrees in information engineering from Tamkang University, Taiwan, in 1997 and 2001, respectively, and the Ph.D. degree in computer science from National Tsing Hua University (NTHU), Hsinchu, Taiwan, in 2013. He joined as an associate professor with the department of Computer Science and Information Management, Providence University (PU), Taiwan, in February 2016. Currently, he serves as the dean of the department of Computer Science and Information Management, Providence University (PU). His current research interests include cloud computing, edge computing, deep learning applications, and game theoretic wireless networking.