期刊名：Eng

期刊主页：https://www.mdpi.com/journal/eng

从 ChatGPT 到智能机器人，从大语言模型到物理信息神经网络，人工智能正在以前所未有的速度进入工程领域。土木、机械、电气、能源、材料等学科的研究者，正在探索以数据驱动建模、物理信息融合建模、以及边缘AI与嵌入式智能系统为代表的新型研究范式。为帮助大家快速了解该领域的发展动态，我们从 MDPI Eng期刊中精选了15篇“机器学习与人工智能在工程中的应用”代表论文，涵盖大语言模型（LLM）、物理信息神经网络（PINNs）、智能控制、智能制造、可解释机器学习（SHAP）等前沿方向，希望能为您的选题、开题和论文写作拓展研究思路。

1. Artificial Intelligence for Non-Destructive Imaging in Composite Materials

复合材料无损成像中的人工智能应用

https://www.mdpi.com/2673-4117/6/3/46

2. Automated Taxonomy Construction Using Large Language Models: A Comparative Study of Fine-Tuning and Prompt Engineering

利用大型语言模型进行自动分类法构建：微调与提示工程的比较研究

https://www.mdpi.com/2673-4117/6/11/283

3. Multi-Shift Scheduling of Electric Service Operations Under Fuzzy Uncertainty via Preference-Guided Deep Learning: The Single-Vehicle Case

基于偏好引导深度学习的模糊不确定性条件下电力服务作业多班次调度：单车辆案例

https://www.mdpi.com/2673-4117/7/5/244

4. Research on the Reconstruction of the Temperature Field in Two-Dimensional Steady-State Thermal Conductivity Based on Physics-Informed Neural Networks

基于物理驱动神经网络的二维稳态热导率温度场重建研究

https://www.mdpi.com/2673-4117/6/5/99

5. Replacing Gauges with Algorithms: Predicting Bottomhole Pressure in Hydraulic Fracturing Using Advanced Machine Learning

用算法取代仪表：利用先进机器学习技术预测水力压裂中的井底压力

https://www.mdpi.com/2673-4117/6/4/73

6. A Hybrid Regression and Machine Learning-Based Multi-Output Predictive Modeling of Cutting Forces and Surface Roughness in Rotational Turning of C45 Steel

基于混合回归与机器学习的C45钢旋转车削切削力和表面粗糙度多输出预测建模

https://www.mdpi.com/2673-4117/7/4/154

7. A Machine Learning-Optimized Robot-Assisted Driving System for Efficient Flexible Forming of Composite Curved Components

一种基于机器学习优化的机器人辅助驾驶系统，用于复合材料曲面部件的高效柔性成形

https://www.mdpi.com/2673-4117/6/12/356

8. Intelligent Control of the Air Compressor (AC) and Back Pressure Valve (BPV) to Improve PEMFC System Dynamic Response and Efficiency in High Altitude Regions

通过智能控制空气压缩机（AC）和背压阀（BPV）来提高高海拔地区PEMFC系统的动态响应和效率

https://www.mdpi.com/2673-4117/6/1/19

9. Human Similar Activity Recognition Using Millimeter-Wave Radar Based on CNN-BiLSTM and Class Activation Mapping

基于CNN-BiLSTM和类激活映射的毫米波雷达人体相似动作识别

https://www.mdpi.com/2673-4117/6/3/44

10. A Review Study of Fuzzy Cognitive Maps in Engineering: Applications, Insights, and Future Directions

工程领域中模糊认知图的综述研究：应用、见解与未来方向

https://www.mdpi.com/2673-4117/6/2/37

11. Deep LBLS: Accelerated Sky Region Segmentation Using Hybrid Deep CNNs and Lattice Boltzmann Level-Set Model

深度LBLS：利用混合深度卷积神经网络与格子玻尔兹曼水平集模型加速天空区域分割

https://www.mdpi.com/2673-4117/6/3/57

12. Foundation Models for Autonomous Robots in Unstructured Environments: Current State-of-the-Art, Challenges, and Future Pathways

非结构化环境中自主机器人的基础模型：当前最新进展、挑战及未来发展方向

https://www.mdpi.com/2673-4117/7/7/358

13. Raman Spectra Classification of Pharmaceutical Compounds: A Benchmark of Machine Learning Models with SHAP-Based Explainability

药物化合物的拉曼光谱分类：基于SHAP可解释性的机器学习模型基准测试

https://www.mdpi.com/2673-4117/6/7/145

14. Evaluating the Impact of Digital Tool Utilization in Dentistry on Burnout Syndrome Among Dentists: An Entropy Analysis and AI-Driven Approach

评估牙科领域数字工具应用对牙医职业倦怠综合征的影响：基于熵分析与人工智能驱动的方法

https://www.mdpi.com/2673-4117/6/3/47

15. Real-Time Cr(VI) Concentration Monitoring in Chrome Plating Wastewater Using RGB Sensor and Machine Learning

利用RGB传感器和机器学习对电镀废水中的六价铬（Cr(VI)）浓度进行实时监测

https://www.mdpi.com/2673-4117/7/1/17

Eng 期刊介绍

主编：Antonio Gil Bravo, Universidad Pública de Navarra, Spain

期刊专注于工程学各个领域的最新研究进展，研究主题包括但不限于：电气与电子信息工程、化学与材料工程、能源工程、机械与汽车工程、工业与制造工程、土木与结构工程、航空航天工程、生物医学工程、岩土工程、地质工程、海洋与环境工程、计算与数学工程等。期刊已被ESCI (Web of Science)、Ei Compendex、Scopus等数据库收录。目前期刊位于JCR “ENGINEERING, MULTIDISCIPLINARY”领域一区。

2025 Impact Factor：3.5

2025 CiteScore：4.1

Time to First Decision：18.8 Days

Acceptance to Publication：3.6 Days