Science Through Machine Learning: Quantification of Post‐Storm Thermospheric Cooling by Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, Douglas P. Drob, W. Kent Tobiska, Jean Yoshii

Subjects: “…machine learning…”
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From Continent to Ocean: Investigating the Multi-Element and Precious Metal Geochemistry of the Paraná-Etendeka Large Igneous Province Using Machine Learning Tools by J. J. Lindsay, H. S. R. Hughes, C. M. Yeomans, J. C. Ø. Andersen, I. McDonald

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Neural network potentials for exploring condensed phase chemical reactivity by Gomez, Axel, de la Puente, Miguel, David, Rolf, Laage, Damien

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Applications of Artificial Intelligence for Precision Agriculture by Yiannis Ampatzidis

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Dynamic Interferometry for Freeform Surface Measurement Based on Machine Learning-Configured Deformable Mirror by Xu Chang, Yao Hu, Jintao Wang, Xiang Liu, Qun Hao

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Deep learning uncovers histological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patients by Benoit Schmauch, Vincent Cabeli, Omar Darwiche Domingues, Jean-Eudes Le Douget, Alexandra Hardy, Reda Belbahri, Charles Maussion, Alberto Romagnoni, Markus Eckstein, Florian Fuchs, Aurélie Swalduz, Sylvie Lantuejoul, Hugo Crochet, François Ghiringhelli, Valentin Derangere, Caroline Truntzer, Harvey Pass, Andre L. Moreira, Luis Chiriboga, Yuanning Zheng, Michael Ozawa, Brooke E. Howitt, Olivier Gevaert, Nicolas Girard, Elton Rexhepaj, Iris Valtingojer, Laurent Debussche, Emanuele de Rinaldis, Frank Nestle, Emmanuel Spanakis, Valeria R. Fantin, Eric Y. Durand, Marion Classe, Katharina Von Loga, Elodie Pronier, Matteo Cesaroni

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A Data-Driven Methodology for Obtaining the Stress–Strain Curves of Metallic Materials Using Discrete Indentation Tests by Nitzan Rom, Elad Priel

Subjects: “…machine learning…”
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Machine Learning Methods for Forecasting Intermittent Tin Ore Production by Nabila Dhia Alifa Rahmah, Budhi Handoko, Anindya Apriliyanti Pravitasari

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A machine learning model the prediction of athlete engagement based on cohesion, passion and mental toughness by Xin Zhang, Zhikang Lin, Song Gu

Subjects: “…Machine learning…”
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Dilated cardiomyopathy signature metabolic marker screening: Machine learning and multi-omics analysis by Xiao-Lei Li, Aibibanmu Aizezi, Yan-Peng Li, Yan-Hong Li, Fen Liu, Qian Zhao, Xiang Ma, Dilare Adi, Yi-Tong Ma

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Automating Historical Source Transcription by Gunnar Thorvaldsen

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MTIOT: Identifying HPV subtypes from multiple infection data by Qi Zhao, Tianjun Zhou, Lin Li, Guofan Hong, Luonan Chen

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Using machine learning models to plan HIV services: Emerging opportunities in design, implementation and evaluation by T Dzinamarira, E Mbunge, I Chingombe, D F Cuadros, E Moyo, I Chitungo, G Murewanhema, B Muchemwa, G Rwibasira, O Mugurungi, G Musuka, H Herrera

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Estimation of Forces and Powers in Ergometer and Scull Rowing Based on Long Short-Term Memory Neural Networks by Lorenzo Pitto, Frédéric R. Simon, Geoffrey N. Ertel, Gérome C. Gauchard, Guillaume Mornieux

Subjects: “…machine learning…”
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Forecast Global Ionospheric TEC: Apply Modified U‐Net on VISTA TEC Data Set by Zihan Wang, Shasha Zou, Hu Sun, Yang Chen

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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

Subjects: “…machine learning…”
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Improving Model Performance for Predicting Exfiltration Attacks Through Resampling Strategies by Arif Rahman Hakim, Kalamullah Ramli, Muhammad Salman, Esti Rahmawati Agustina

Subjects: “…machine learning…”
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Using Convolutional Neural Networks for segmentation of brain tumors by Kauã Gabriel Silva de Lima, Vagner Alves Ferreira da Silva, João Victor Oliveira da Silva, Lucas Patrick Ramos de Oliveira, Diogo Lopes da Silva

Subjects: “…Machine Learning…”
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An Approach to Predicting Energy Demand Within Automobile Production Using the Temporal Fusion Transformer Model by Andreas Lenk, Marcus Vogt, Christoph Herrmann

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Seismic Prediction of Porosity in the Norne Field: Utilizing Support Vector Regression and Empirical Models Driven by Bayesian Linearized Inversion by Jorge A. Teruya Monroe, Jose J. S. de Figueiredo, Carlos E. S. Amanajas

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