Application of Artificial Intelligence to Support Design and Analysis of Steel Structures by Sina Sarfarazi, Ida Mascolo, Mariano Modano, Federico Guarracino

“…Unlike conventional ML models that focus mostly on forward predictions, IML helps data-driven design generation, enabling more adaptive engineering solutions. Furthermore, underlined is Explainable Artificial Intelligence (XAI), which enhances model transparency, interpretability, and trust of AI. …”
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Model-Assisted Probabilistic Neural Networks for Effective Turbofan Fault Diagnosis by Christoforos Romesis, Nikolaos Aretakis, Konstantinos Mathioudakis

“…., detection of the faulty component at the current operating point), while with the aid of an adaptive engine model, the fault is then further isolated and identified. …”
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Digital-Twin-Based Ecosystem for Aviation Maintenance Training by Igor Kabashkin

“…These components are orchestrated through a real-time adaptive engine that performs multi-dimensional competence gap analysis and dynamically matches learners with appropriate training content based on gap severity, Bloom’s taxonomy level, and content fidelity. …”
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Research and application of unified cross-system data services for coal mines based on industrial internet platforms by WAN Maoquan, LI Hao, WANG Hao

“…The system integrated a dynamic protocol adaptation engine, containerized microservice deployment, and low-code interface configuration tools. …”
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Integrating Human Mobility Models with Epidemic Modeling: A Framework for Generating Synthetic Temporal Contact Networks by Diaoulé Diallo, Jurij Schoenfeld, René Schmieding, Sascha Korf, Martin J. Kühn, Tobias Hecking

“…Our primary contributions are twofold: First, we embed empirically calibrated HuMMs into an epidemic simulation environment to create a parameterizable, adaptive engine for producing synthetic, high-resolution, population-wide temporal contact network data. …”
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Student 5.0: immersive learning in next-gen Automation of Manufacturing Systems courses for the Industry 5.0 era by Erick Ramírez-Cedillo, Erick Ramírez-Cedillo, Erick Ramírez-Cedillo, Maximiliano Armendáriz-Rodríguez, Josué García-Ávila, Diego Quintero-Sánchez, Alexandro Antonio Ortiz-Espinoza, Adriana Vargas-Martínez

“…It addresses the challenge of adapting engineering education to the demands of smart manufacturing, highlighting the importance of hands-on experience with cyberphysical systems, Additive Manufacturing (AM), Supervisory Control and Data Acquisition (SCADA) integration, and robotics. …”
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Efficiency management of engineering projects based on particle swarm multi objective optimization algorithm by Xiu Luo, Zhouxin Yi

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