期刊名：Applied System Innovation

期刊主页：https://www.mdpi.com/journal/asi

本期文献清单为您精选了发表于 Applied System Innovation 期刊的十篇综述文章。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. Factors Impacting the Adoption and Acceptance of ChatGPT in Educational Settings: A Narrative Review of Empirical Studies

影响 ChatGPT 在教育环境中采用和接受的因素：实证研究的叙述性综述

https://www.mdpi.com/2571-5577/7/6/110

Al-kfairy, M. Factors Impacting the Adoption and Acceptance of ChatGPT in Educational Settings: A Narrative Review of Empirical Studies. Appl. Syst. Innov. 2024, 7, 110. https://doi.org/10.3390/asi7060110

2. Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers

深度学习在制造和维护领域自动化视觉检测中的应用：开放获取论文综述

https://www.mdpi.com/2571-5577/7/1/11

Hütten, N.; Alves Gomes, M.; Hölken, F.; Andricevic, K.; Meyes, R.; Meisen, T. Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers. Appl. Syst. Innov. 2024, 7, 11. https://doi.org/10.3390/asi7010011

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

数据驱动的智能高效建筑节能改造决策支持：综述

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

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

4. eXplainable Artificial Intelligence in Process Engineering: Promises, Facts, and Current Limitations

过程工程中的可解释人工智能：前景、事实和当前局限性

https://www.mdpi.com/2571-5577/7/6/121

Di Bonito, L.P.; Campanile, L.; Di Natale, F.; Mastroianni, M.; Iacono, M. eXplainable Artificial Intelligence in Process Engineering: Promises, Facts, and Current Limitations. Appl. Syst. Innov. 2024, 7, 121. https://doi.org/10.3390/asi7060121

5. Innovating Patent Retrieval: A Comprehensive Review of Techniques, Trends, and Challenges in Prior Art Searches

专利检索创新：现有技术检索技术、趋势和挑战的全面综述

https://www.mdpi.com/2571-5577/7/5/91

Ali, A.; Tufail, A.; De Silva, L.C.; Abas, P.E. Innovating Patent Retrieval: A Comprehensive Review of Techniques, Trends, and Challenges in Prior Art Searches. Appl. Syst. Innov. 2024, 7, 91. https://doi.org/10.3390/asi7050091

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

机器学习和深度学习模型在供应链管理需求预测中的应用：一项重要综述

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

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

7. Bibliometric Trends in Industry 5.0 Research: An Updated Overview

工业5.0研究中的文献计量趋势：最新概述

https://www.mdpi.com/2571-5577/6/4/63

Madsen, D.Ø.; Berg, T.; Di Nardo, M. Bibliometric Trends in Industry 5.0 Research: An Updated Overview. Appl. Syst. Innov. 2023, 6, 63. https://doi.org/10.3390/asi6040063

8. A Review on Recent Trends and Applications of IoT in Additive Manufacturing

物联网在增材制造领域的最新趋势和应用综述

https://www.mdpi.com/2571-5577/6/2/50

Chigilipalli, B.K.; Karri, T.; Chetti, S.N.; Bhiogade, G.; Kottala, R.K.; Cheepu, M. A Review on Recent Trends and Applications of IoT in Additive Manufacturing. Appl. Syst. Innov. 2023, 6, 50. https://doi.org/10.3390/asi6020050

9. Advances and Challenges in IoT-Based Smart Drug Delivery Systems: A Comprehensive Review

基于物联网的智能药物输送系统的进展与挑战：一项综合综述

https://www.mdpi.com/2571-5577/6/4/62

Raikar, A.S.; Kumar, P.; Raikar, G.S.; Somnache, S.N. Advances and Challenges in IoT-Based Smart Drug Delivery Systems: A Comprehensive Review. Appl. Syst. Innov. 2023, 6, 62. https://doi.org/10.3390/asi6040062

10. Comparing the Evolutionary Trajectories of Industry 4.0 and 5.0: A Management Fashion Perspective

从管理视角探讨工业 4.0 和 5.0 的发展路径对比

https://www.mdpi.com/2571-5577/6/2/48

Madsen, D.Ø.; Slåtten, K. Comparing the Evolutionary Trajectories of Industry 4.0 and 5.0: A Management Fashion Perspective. Appl. Syst. Innov. 2023, 6, 48. https://doi.org/10.3390/asi6020048

期刊介绍

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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