A machine learning model for the prediction of hail-affected area in Germany by Siyu Li, Peter Knippertz, Michael Kunz, Jannik Wilhelm, Julian Quinting

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An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management by Federico Mori, Giuseppe Naso

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Supervised Machine Learning Models for Predicting SS304H Welding Properties Using TIG, Autogenous TIG, and A-TIG by Subhodwip Saha, Barun Haldar, Hillol Joardar, Santanu Das, Subrata Mondal, Srinivas Tadepalli

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Machine Learning-Driven Optimization of Machining Parameters Optimization for Cutting Forces and Surface Roughness in Micro-Milling of AlSi10Mg Produced by Powder Bed Fusion Additive Manufacturing by Zihni Alp Cevik, Koray Ozsoy, Ali Ercetin, Gencay Sariisik

“…This study focuses on optimizing machining parameters in the micro-milling of AlSi10Mg aluminum alloy produced via the powder bed fusion additive manufacturing process. …”
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Cancer predictive model derived from bioimpedance measurements using machine learning methods by José Luis García Bello, Taira Batista Luna, Agustín Garzón Carbonell, Ana de la Caridad Román Montoya, Alcibíades Lara Lafargue, Héctor Manuel Camué Ciria, Yohandys A. Zulueta

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Rotor dynamics of turbocompressor based on the finite element analysis and parameter identification approach by Verbovyi A., Khomenko V., Neamtu C., Pavlenko V., Simonovskiy V., Pavlenko I.

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Study on Tooth Profile Parameter of Gear Skiving Under the Influence of Multiple Factor by Zhongliang Qiu, Siming Wang

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Design and Performance Characterization of the E-Core Outer-Rotor Hybrid-Excitation Flux Switching Machine by Zhiyuan Xu, Ming Cheng

“…To characterize the output performances, the influence of the design parameters was investigated for the E-core OR-HEFS machine, including the split ratio, stator tooth arc, PM arc, fault-tolerant tooth arc, rotor tooth arc, stator yoke width and rotor yoke width. …”
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A Systematic Analysis of Meteorological Parameters in Predicting Rainfall Events by Muhammad Salman Pathan, Pardhu Nadella, Yasin Ul Haq, Soumini Chaudhury, Jiantao Wu, Avishek Nag, Soumyabrata Dev

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Integration of UAV Remote Sensing and Machine Learning for Taro Blight Monitoring by Yushuai Wang, Yuxin Chen, Zhou Shu, Shaolong Zhu, Weijun Zhang, Tao Liu, Chengming Sun

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High-parameter immunophenotyping reveals distinct immune cell profiles in pruritic dogs and cats by Erin McDonald, Eric Kehoe, Darcy Deines, Mary McCarthy, Brie Wright, Susan Huse

“…Our analysis uses machine learning and statistical algorithms to perform unsupervised clustering, multiple visualizations, and statistical analysis of high parameter flow cytometry data. …”
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Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction by Gonzalo Rios-Vasquez, Hanns De La Fuente-Mella, Jose Ceroni-Diaz

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OPT-IQA: Automated camera parameters tuning framework with IQA-guided optimization by Jan-Henner Roberg, Vladyslav Mosiichuk, Ricardo Silva, Luís Rosado

Subjects: “…Camera parameters…”
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Low-Parameter Critic-Based Multivariate WGAN Model for Clogging Detection in Drives by Surówka Artur Dawid, Kosiba Marcin, Mikkelä Teemu, Kavala Asko, Firla Marcin

“…Smart condition monitoring tools, especially those using machine/deep learning, have proven effective for failure detection. …”
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Leveraging machine learning to optimize cooling tower efficiency for sustainable power generation by M. A. Mujtaba, Muhammad Adeel Munir, Muhammad Akhtar, Bilal Mahmood, Talha Ansar, Zeeshan Khawar, Shayan Khalid, Abdul Basit, Saud Jamil, M. A. Kalam, Fayaz Hussain, Chiranjib Bhowmik

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Challenges and control strategies for disrupting passive oxide layer formation in electrochemical machining by Ritesh Kumar Upadhyay

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Reservoir evaluation using petrophysics informed machine learning: A case study by Rongbo Shao, Hua Wang, Lizhi Xiao

Subjects: “…Machine learning…”
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HP_FLAP: homomorphic and polymorphic federated learning aggregation of parameters framework by Mohammad Moshawrab, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, Ali Raad

“…Abstract Protecting user privacy is essential in machine learning research, especially in the context of data collection. …”
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Influences of Solar Wind Parameters on Energetic Electron Fluxes at Geosynchronous Orbit Revealed by the Deep SHAP Method by Jianhang Wang, Zheng Xiang, Binbin Ni, Deyu Guo, Yangxizi Liu, Junhu Dong, Jingle Hu, Haozhi Guo

“…Abstract Solar wind is an intermediary in energy transfer from the Sun into the Earth's magnetosphere, and is considered as a decisive driver of energetic electron dynamics at the geosynchronous orbit (GEO). Based on machine learning technology, several models driven by solar wind parameters have been established to predict GEO electron fluxes. …”
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Estimation of the High-Frequency Feature Slope in Gravitational Wave Signals from Core Collapse Supernovae Using Machine Learning by Alejandro Casallas-Lagos, Javier M. Antelis, Claudia Moreno, Ramiro Franco-Hernández

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