Chin-Shiuh Shieh 編集者 at IgMin Research
We aim to foster interdisciplinary discussions that contribute to fast-tracking research.
バイオグラフィー
Chin-Shiuh Shieh received the M.S. degree in Electrical Engineering from the National Taiwan University, Taiwan, in 1991, and the Ph.D. degree in Computer Science and Engineering from National Sun Yat-Sen University, Taiwan in 2009.
In August 1991, he joined the faculty of the Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Taiwan, where he currently serves as a Full Professor. His research interests include computer networking, embedded systems, computational intelligence and information security.
研究の興味
Computer Networking, Wireless Communication, Information Security, Computational Intelligence, Embedded Systems, Medical Informatics.
Editor
仕事内容
Professor
National Kaohsiung University of Science and Technology
Department of Electronic Engineering
Taiwan
0000-0003-3187-458X トピック分野別の貢献
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
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研究論文
- Slip Resistance Evaluation of 10 Indoor Floor Surfaces
- The Examination of Game Skills of Children Aged 5-6 Years Participating in Movement Education
- A Study to Determine the Reason for Lower Pregnancy Rates in Younger Women with Diminished Oocyte Reserve-less Chance of Implanting vs. Fetal Demise
- Balancing Act: Exploring the Interplay Between Human Judgment and Artificial Intelligence in Problem-solving, Creativity, and Decision-making
- Homologous Series of Chemical Compounds in Three-component Systems (Aa+ – Bb+ – Cc–) and (Zn2+ - Ge4+ - P3-) in Generalized Form
- Knowledge Discovery on Artificial Intelligence and Physical Therapy: Document Mining Analysis
