雜志介紹

Advanced Intelligent Systems雜志介紹

《Advanced Intelligent Systems》是一本以English為主的開放獲取國際優(yōu)秀期刊，中文名稱先進智能系統(tǒng)，本刊主要出版、報道計算機科學-AUTOMATION & CONTROL SYSTEMS領域的研究動態(tài)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(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學術信息交流，提高行業(yè)發(fā)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(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認可。該刊最新影響因子為6.8，最新CiteScore 指數為1.3。

本刊近期中國學者發(fā)表的論文主要有：

• Progress, Challenges, and Prospects of Soft Robotics for Space Applications

  Author: Zhang, Yongchang; Li, Pengchun; Quan, Jiale; Li, Longqiu; Zhang, Guangyu; Zhou, Dekai

• Design of a Liquid-Driven Laser Scanner with Low Voltage Based on Liquid-Infused Membrane

  Author: Zhang, Chunqi; Mo, Hangjie; Zheng, Liushuai; Zhao, Han; Feng, Gang; Sun, Dong

• A Visual Variability and Visuo-Tactile Coordination Inspired Child Adaptation Mechanism for Wearable Age Group Recognition and Activity Recognition

  Author: Kang, Peiqi; Li, Jinxuan; Jiang, Shuo; Shull, Peter B.

• Bioinspired Hierarchical Structure for an Ultrawide-Range Multifunctional Flexible Sensor Using Porous Expandable Polyethylene/Loofah-Like Polyurethane Sponge Material

  Author: Zhao, Zhou; Guo, Qingkai; Sun, Yu; An, Ningli; Hui, Pengzhe; Yang, Laihao; Chen, Xuefeng

英文介紹

Advanced Intelligent Systems雜志英文介紹

Advanced Intelligent Systems is a leading academic platform dedicated to high-quality scientific and engineering research published in the field of intelligent systems. These studies cover a wide range of fields from fundamental theory to practical applications, including but not limited to machine learning, artificial intelligence, neural networks, natural language processing, computer vision, robotics, and adaptive control systems.

The journal emphasizes innovation and practicality, encouraging researchers to explore how to design and implement intelligent systems that can recognize environmental stimuli, process information, make decisions, and learn from experience. These systems can simulate the human learning process and continuously optimize their performance through data-driven methods to adapt to constantly changing environments and demands. Pay special attention to research results that can drive technological progress and solve real-world problems. For example, intelligent medical diagnosis system, autonomous vehicle, intelligent home control system and intelligent manufacturing process.