Towards ML Models’ Recommendations by Lara Kallab, Elio Mansour, Richard Chbeir

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Machine Learning-Enhanced Analysis of Small-Strain Hardening Soil Model Parameters for Shallow Tunnels in Weak Soil by Tzuri Eilat, Alison McQuillan, Amichai Mitelman

“…Accurate prediction of tunneling-induced settlements in shallow tunnels in weak soil is challenging, as advanced constitutive models, such as the small-strain hardening soil model (SS-HSM) require several input parameters. …”
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Use of Machine-Learning Techniques to Estimate Long-Term Wave Power at a Target Site Where Short-Term Data Are Available by María José Pérez-Molina, José A. Carta

“…The method involves training ML models using concurrent short-term buoy data and ERA5 reanalysis data, enabling the extension of wave energy estimates over longer periods using only reanalysis inputs. …”
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Condition-Aware Autoencoder and Transfer Learning-Based Estimation of Milling Cutting Forces from Spindle Vibration Signals by Je-Doo Ryu, Jungmin Lee, Sung-Ryul Kim, Min Cheol Lee

“…To reflect machining parameters into the learning model, the input dataset was constructed by integrating material type, cutting speed, and cutting direction as additional inputs into each model’s inputs. …”
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Optimizing guest experience in smart hospitality: Integrated fuzzy-AHP and machine learning for centralized hotel operations with IoT by Sinan Andan Diwan

“…This smart hospitality framework considers inputs like reception facilities, room amenities, and restaurant services, providing a comprehensive customer satisfaction model. …”
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