Computer Applications Frontiers: Opportunities, Challenges, Technologies and Applications

Éditeurs invités

  • Xiaoou Ding, Harbin Institute of Technology
  • Kaiyu Li, Wilfrid Laurier University

Synthèse

This special issue focuses on advanced computer application technologies such as AI, Big Data, Large Models, Blockchain, IoT, Cloud Computing, 5G, and Digital Twins, and their integration across various industries. A key challenge is building efficient, secure, and intelligent systems that enable interoperability between industrial equipment, information systems, business processes, and enterprise services.

The issue seeks original research and review papers that address technical challenges and explore how intelligent methods and self-adaptive models can provide solutions relevant to dynamic engineering environments, particularly in fields like transportation and environmental engineering where conditions change rapidly.

The special issue aims to assess the current state of the art in using advanced computer applications to tackle complex interoperability challenges, identify knowledge gaps, and propose future research directions for both academia and industry.

Thèmes proposés

  • Frontier Technology Applications of intelligent systems, including intelligent Energy, Manufacturing, Transportation, Finance, etc.
  • Artificial intelligence technologies, including Large Models, Deep Learning, Feature Extraction and Selection
  • Pervasive Computing and Environmental Intelligence
  • Robotics and Intelligent Systems, including Virtual Reality, Augmented Reality, and Biometric Recognition
  • Brain-Computer Interfaces
  • Data Science and Big Data Technologies, including System Frameworks, Data Preprocessing, Visualization, Mining, and Privacy
  • Cybersecurity Technologies including Future Grid Architectures, Distributed Computing, Cybersecurity, Mobile Communications
  • Internet of Things and Sensor Networks
  • Cloud Computing and Service Computing
  • Smart Healthcare and Agriculture
  • AI and Machine Learning for the Design, Optimization, and Modeling of RF, Microwave, Millimeter-Wave Circuits, Components, and Antennas
  • Intelligent Design and Engineering of Reconfigurable RF Devices, Smart Antennas, and Next-Generation Wireless Communication Systems