雜志介紹

Frontiers In Computer Science雜志介紹

《Frontiers In Computer Science》是一本以English為主的開放獲取國際優秀期刊，中文名稱計算機科學前沿，本刊主要出版、報道領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為2.4，最新CiteScore 指數為4.3。

本刊近期中國學者發表的論文主要有：

• A two-branch multimodal fake news detection model based on multimodal bilinear pooling and attention mechanism

  Author: Guo, Ying; Ge, Hong; Li, Jinhong

• Fault detection method based on adversarial reinforcement learning

  Author: Li, Junhuai; Wu, Yunwen; Wang, Huaijun; Xu, Jiang

• The trace consistency measurement between WFD-net systems

  Author: Zhao, Fang; Xiang, Dongming; Liu, Guanjun

英文介紹

Frontiers In Computer Science雜志英文介紹

Frontiers In Computer Science is an international open access journal that focuses on cutting-edge research in the field of computer science and its applications. The journal covers a wide range of research topics, including but not limited to computer vision, pattern recognition, human-computer interaction, theoretical computer science, etc., aiming to promote innovation and knowledge exchange in the field of computer science. This journal adopts a peer review system to ensure the quality and academic rigor of published articles, while utilizing an open access model to enable research results to be quickly disseminated to the global scientific community and the public.

The research recently published in the journal covers various hot topics in computer science. For example, a two branch multimedia fake news detection model has been proposed, which combines multimodal bilateral pooling and attention mechanism to improve the accuracy of detection. There are also studies utilizing adversarial reinforcement learning methods for fault detection, demonstrating the potential application of artificial intelligence in industrial automation. These research results not only reflect the role of journals in promoting the development of computer science theory and applications, but also highlight the importance of journals in promoting interdisciplinary research and technological innovation.