Machine Learning-Based Probabilistic Seismic Demand Model of Continuous Girder Bridges by Wenshan Li, Yong Huang, Zikai Xie

“…Subsequently, PSDMs are established for the IMs and engineering demand parameters based on the existing NTHA data using machine-learning methods, which include linear regression, Bayesian regression (BR), and a tree-based model. …”
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Molecular dynamics and machine learning unlock possibilities in beauty design—A perspective by Yuzhi Xu, Haowei Ni, Fanyu Zhao, Qinhui Gao, Ziqing Zhao, Chia-Hua Chang, Yanran Huo, Shiyu Hu, Yike Zhang, Radu Grovu, Hermione He, John Z. H. Zhang, Yuanqing Wang

“…Computational molecular design—the endeavor to design molecules, with various missions, aided by machine learning and molecular dynamics approaches—has been widely applied to create valuable new molecular entities, from small molecule therapeutics to protein biologics. …”
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Retracted: Digital Management and Optimization of Tourism Information Resources Based on Machine Learning by International Transactions on Electrical Energy Systems

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Machine learning based prediction models for the prognosis of COVID-19 patients with DKA by Zhongyuan Xiang, Jingyi Hu, Shengfang Bu, Jin Ding, Xi Chen, Ziyang Li

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Machine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh by Arman Hossain Chowdhury, Md. Siddikur Rahman

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Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach. by Rodrigue Govan, Romane Scherrer, Baptiste Fougeron, Christine Laporte-Magoni, Roman Thibeaux, Pierre Genthon, Philippe Fournier-Viger, Cyrille Goarant, Nazha Selmaoui-Folcher

“…Our approach utilized a comprehensive strategy combining machine learning models trained on binarized incidences, along with descriptive techniques for identifying key factors. …”
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Machine Learning and Statistical Test–Based Culvert Condition Impact Factor Analysis by Ce Gao, Zhibin Li, Hazem Elzarka, Hongyan Yan, Peijin Li

“…Although the use of machine learning (ML) techniques to predict culvert conditions has been proven to be a promising tool for enhancing culvert management and enabling proactive scheduling of maintenance tasks, the information provided by the developed ML models has been given little attention for further use and analysis. …”
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Research on Innovative Apple Grading Technology Driven by Intelligent Vision and Machine Learning by Bo Han, Jingjing Zhang, Rolla Almodfer, Yingchao Wang, Wei Sun, Tao Bai, Luan Dong, Wenjing Hou

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A Secure and Robust Machine Learning Model for Intrusion Detection in Internet of Vehicles by Pradeep Kumar Tiwari, Shiv Prakash, Animesh Tripathi, Tiansheng Yang, Rajkumar Singh Rathore, Manish Aggarwal, Narendra Kumar Shukla

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Mathematical Validation of Proposed Machine Learning Classifier for Heterogeneous Traffic and Anomaly Detection by Azidine Guezzaz, Younes Asimi, Mourade Azrour, Ahmed Asimi

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On the Readiness of Scientific Data Papers for a Fair and Transparent Use in Machine Learning by Joan Giner-Miguelez, Abel Gómez, Jordi Cabot

“…Abstract To ensure the fairness and trustworthiness of machine learning (ML) systems, recent legislative initiatives and relevant research in the ML community have pointed out the need to document the data used to train ML models. …”
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BIM-Based Machine Learning Application for Parametric Assessment of Building Energy Performance by Panagiotis Tsikas, Athanasios Chassiakos, Vasileios Papadimitropoulos, Antonios Papamanolis

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Estimation of Acetic Acid Concentration from Biogas Samples Using Machine Learning by Lingga Aksara Putra, Bernhard Huber, Matthias Gaderer

“…The project aims to use NIR sensors and machine learning algorithms to estimate the acetic acid concentration in a biogas substrate based on the measured intensities of the substrate. …”
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Challenges and Prospects of Deploying AI and Machine Learning for Clinical Diagnosis in African Healthcare by Edmund Terem Ugar

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Improved cattle farm classification: leveraging machine learning and linked national datasets by Guy-Alain Schnidrig, Guy-Alain Schnidrig, Rahel Struchen, Sara Schärrer, Dagmar Heim, Daniela Hadorn, Gertraud Schüpbach-Regula, Giulia Paternoster

Subjects: “…machine learning…”
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Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan by Aayushi Tandon, Amit Awasthi, Kanhu Charan Pattnayak, Aditya Tandon, Tanupriya Choudhury, Ketan Kotecha

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Comment on “Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning” by Ivan A. Bratchenko, Lyudmila A. Bratchenko

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Marigold: a machine learning-based web app for zebrafish pose tracking by Gregory Teicher, R. Madison Riffe, Wayne Barnaby, Gabrielle Martin, Benjamin E. Clayton, Josef G. Trapani, Gerald B. Downes

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Evaluation of Machine Learning and Ensemble Learning Models for Classification Using Delivery Data by İrem Karakaya

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Machine Learning-Based Detection of Anomalies, Intrusions, and Threats in Industrial Control Systems by Denis Benka, Dusan Horvath, Lukas Spendla, Gabriel Gaspar, Maximilian Stremy

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