Guest editorial: special issue on selected papers from ICASI 2023

Abstract

The COVID-19 pandemic has brought significant changes to the scientific and technological community, and it is likely that some of these changes will continue to impact the community in the post-epidemic era. Here are some potential outlooks for the scientific and technological community in the post-epidemic era: 1. Increased investment in research and development: The pandemic has highlighted the importance of research and development in the field of healthcare and medicine. Governments and private organizations are likely to increase their investment in research to develop new treatments, vaccines, and medical technologies. 2. Emphasis on remote work and collaboration: The pandemic has forced many scientists and researchers to work remotely, and this trend is likely to continue even after the pandemic. Remote work has shown that it is possible to collaborate effectively online, which could lead to increased collaboration across borders and time zones. 3. Greater use of data analytics and AI: The pandemic has generated an enormous amount of data, which can be used to develop insights into the virus and its effects. Scientists and researchers are likely to use data analytics and artificial intelligence (AI) to analyze this data and develop new treatments and technologies. 4. Greater focus on public health: The pandemic has highlighted the importance of public health, and this is likely to continue in the post-epidemic era. 5. Increased awareness of the importance of science: The pandemic has made the public more aware of the importance of science and its role in addressing global challenges. This increased awareness is likely to lead to increased support for scientific research and development. Overall, the post-epidemic era is likely to see significant changes in the scientific and technological community. These changes are likely to be driven by a greater emphasis on public health, increased investment in research and development, and greater use of data analytics and AI. This special issue selected 5 papers from “2023 IEEE 9th International Conference on Applied System Innovation (IEEE ICASI 2023)”. This special issue provides a systematic overview and state-of-the-art research in Internet Technology, Computing, IoT and Computer Engineering Technology, with a special focus on artificial intelligence (AI), and internet of things (IoT) and will outline new developments in fundamental, approaches, methodologies, software systems, and applications in these areas. The aim is to discover new scientific knowledge relevant to IT-based Intelligent Electrical/Mechanical Systems, Mechanics, Human-Computer Interaction (HCI) and Design Innovations. We would like to express our sincere appreciation of the valuable contributions and efforts made by all authors. Special thanks Professor Han-Chieh Chao, Editor-in-Chief of the Journal of Internet Technology (JIT) for offering us a chance to publish this Special Issue, and for his highly supports throughout the entire publication process.

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Identifiers

ORCID for Stephen D. Prior: orcid.org/0000-0002-4993-4942

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