期刊名：Applied System Innovation

期刊主页：https://www.mdpi.com/journal/asi

本期编辑荐读为您精选发表于 Applied System Innovation期刊的十篇高浏览和引用文章。希望能为相关领域的学者提供新的思路和参考。期刊所有文章均为开放获取，您可以免费且无限制地阅读全部出版内容。

1. Unsupervised Learning Approach for Anomaly Detection in Industrial Control Systems

工业控制系统异常检测的无监督学习方法

文章链接：https://www.mdpi.com/2571-5577/7/2/18

MDPI引用格式: Choi, W.-H.; Kim, J. Unsupervised Learning Approach for Anomaly Detection in Industrial Control Systems. Appl. Syst. Innov. 2024, 7, 18. https://doi.org/10.3390/asi7020018.

2. Methodological Approach to Assessing the Current State of Organizations for AI-Based Digital Transformation

评估基于人工智能的数字化转型组织现状的方法学方法

文章链接：https://www.mdpi.com/2571-5577/7/1/14

MDPI引用格式: Aldoseri, A.; Al-Khalifa, K.N.; Hamouda, A.M. Methodological Approach to Assessing the Current State of Organizations for AI-Based Digital Transformation. Appl. Syst. Innov. 2024, 7, 14. https://doi.org/10.3390/asi7010014.

3. The Method of Restoring Lost Information from Sensors Based on Auto-Associative Neural Networks

基于自关联神经网络的传感器丢失信息恢复方法

文章链接：https://www.mdpi.com/2571-5577/7/3/53

MDPI引用格式: Vladov, S.; Yakovliev, R.; Vysotska, V.; Nazarkevych, M.; Lytvyn, V. The Method of Restoring Lost Information from Sensors Based on Auto-Associative Neural Networks. Appl. Syst. Innov. 2024, 7, 53. https://doi.org/10.3390/asi7030053.

4. Machine Learning and Deep Learning Models for Demand Forecasting in Supply Chain Management: A Critical Review

供应链管理中需求预测的机器学习和深度学习模型：综述

文章链接：https://www.mdpi.com/2571-5577/7/5/93

MDPI引用格式: Douaioui, K.; Oucheikh, R.; Benmoussa, O.; Mabrouki, C. Machine Learning and Deep Learning Models for Demand Forecasting in Supply Chain Management: A Critical Review. Appl. Syst. Innov. 2024, 7, 93. https://doi.org/10.3390/asi7050093.

5. Use of Digital Technology in Integrated Mathematics Education

数字技术在综合数学教育中的应用

文章链接：https://www.mdpi.com/2571-5577/7/4/66

MDPI引用格式: Cirneanu, A.-L.; Moldoveanu, C.-E. Use of Digital Technology in Integrated Mathematics Education. Appl. Syst. Innov. 2024, 7, 66. https://doi.org/10.3390/asi7040066.

6. AI-Powered Academic Guidance and Counseling System Based on Student Profile and Interests

基于学生个人资料和兴趣的智能学术指导与咨询系统

文章链接：https://www.mdpi.com/2571-5577/7/1/6

MDPI引用格式: Majjate, H.; Bellarhmouch, Y.; Jeghal, A.; Yahyaouy, A.; Tairi, H.; Zidani, K.A. AI-Powered Academic Guidance and Counseling System Based on Student Profile and Interests. Appl. Syst. Innov. 2024, 7, 6. https://doi.org/10.3390/asi7010006.

7. Technology Readiness Levels (TRLs) in the Era of Co-Creation

共创时代”的技术成熟度等级 (TRLs)

文章链接：https://www.mdpi.com/2571-5577/7/2/32

MDPI引用格式: Yfanti, S.; Sakkas, N. Technology Readiness Levels (TRLs) in the Era of Co-Creation. Appl. Syst. Innov. 2024, 7, 32. https://doi.org/10.3390/asi7020032.

8. Neural Network System for Predicting Anomalous Data in Applied Sensor Systems

用于预测应用传感器系统中异常数据的神经网络系统

文章链接：https://www.mdpi.com/2571-5577/7/5/88

MDPI引用格式: Vladov, S.; Vysotska, V.; Sokurenko, V.; Muzychuk, O.; Nazarkevych, M.; Lytvyn, V. Neural Network System for Predicting Anomalous Data in Applied Sensor Systems. Appl. Syst. Innov. 2024, 7, 88. https://doi.org/10.3390/asi7050088.

9. Robotics Applications in the Hospital Domain: A Literature Review

医院领域的机器人应用：文献综述

文章链接：https://www.mdpi.com/2571-5577/7/6/125

MDPI引用格式: Cruz, E.M.G.N.V.; Oliveira, S.; Correia, A. Robotics Applications in the Hospital Domain: A Literature Review. Appl. Syst. Innov. 2024, 7, 125. https://doi.org/10.3390/asi7060125.

10. Data-Driven Decision Support for Smart and Efficient Building Energy Retrofits: A Review

基于数据的智能高效建筑节能改造决策支持：综述

文章链接：https://www.mdpi.com/2571-5577/8/1/5

MDPI引用格式: Baset, A.; Jradi, M. Data-Driven Decision Support for Smart and Efficient Building Energy Retrofits: A Review. Appl. Syst. Innov. 2025, 8, 5. https://doi.org/10.3390/asi8010005.

相关特刊推荐：

Information Industry and Intelligence Innovation

特刊链接：https://www.mdpi.com/journal/asi/special_issues/intell_innov

期刊简介：

Applied System Innovation (ASI, ISSN 2571-5577) 是一个聚焦于集成工程与技术，经同行评审的国际性开放获取期刊。该期刊由国际知识创新和发明学会 (IIKII) 所有，由MDPI以双月刊的形式在线出版。目前期刊已被Ei Compendex、Scopus、ESCI (Web of Science) 等重要数据库收录。

期刊致力于发表应用系统创新方面的研究成果，最终目标是发现与未来设计相关的新型学科知识，促进一系列行业技术的发展，提高社会福利水平。期刊欢迎对应用系统创新感兴趣的研究者提交原创性研究论文和综述文章。

期刊主编

Prof. Dr. Christos Douligeris

University of Piraeus, Greece

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