Comparative Analysis of Machine Learning Algorithms for Predicting Patient Admission in Emergency Departments Using EHR Data by Ahmad Abdul Chamid, Ratih Nindyasari, Muhammad Imam Ghozali

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Recognition of flight cadets brain functional magnetic resonance imaging data based on machine learning analysis by Lu Ye, Shuhao Weng, Dongfeng Yan, Shan Ma, Xi Chen

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A data-driven approach to forest health assessment through multivariate analysis and machine learning techniques by Raja Waqar Ahmed Khan, Hamayun Shaheen, Muhammad Ejaz Ul Islam Dar, Tariq Habib, Muhammad Manzoor, Syed Waseem Gillani, Abeer Al-Andal, John Oluwafemi Ayoola, Muhammad Waheed

“…The findings underscore the value of data-driven approaches, establishing machine learning as an effective tool to enhance forest monitoring and support evidence-based forest conservation and management in the Himalayas.…”
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Machine learning approaches for spatial omics data analysis in digital pathology: tools and applications in genitourinary oncology by Hojung Kim, Hojung Kim, Jina Kim, Jina Kim, Su Yeon Yeon, Sungyong You, Sungyong You

“…The review contains three sections: 1) an overview of image processing approaches for histopathology slide analysis; 2) machine learning integration with spatially resolved omics data analysis; 3) a discussion of current limitations and future directions for integration of machine learning in the clinical decision-making process.…”
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Leveraging Automated Machine Learning for Environmental Data‐Driven Genetic Analysis and Genomic Prediction in Maize Hybrids by Kunhui He, Tingxi Yu, Shang Gao, Shoukun Chen, Liang Li, Xuecai Zhang, Changling Huang, Yunbi Xu, Jiankang Wang, Boddupalli M. Prasanna, Sarah Hearne, Xinhai Li, Huihui Li

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Enhanced Gold Ore Classification: A Comparative Analysis of Machine Learning Techniques with Textural and Chemical Data by Fabrizzio Rodrigues Costa, Cleyton de Carvalho Carneiro, Carina Ulsen

“…The integration of numerical and categorical variables, which are part of a dataset for defining ore grades, is part of the daily routine of professionals who obtain the data and manipulate the various phases of analysis in a mining project. …”
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Topological Data Analysis and Wavelet- Unsupervised Machine Learning Approaches to Identifying the Flooding and Non-Flooding Zones by Md Raqibul Hasan, Md. Jamal Hossain, Md. Waliullah, Abdul Hannan, Md. Mijanoor Rahman

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Machine learning-assisted early detection of keratoconus: a comparative analysis of corneal topography and biomechanical data by Arkadiusz Syta, Arkadiusz Podkowiński, Tomasz Chorągiewicz, Robert Karpiński, Jakub Gęca, Dominika Wróbel-Dudzińska, Katarzyna E Jonak, Dariusz Głuchowski, Marcin Maciejewski, Robert Rejdak, Kamil Jonak

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Data-Driven Optimization of Aspect Ratio in Permanent Magnet Machines Using Deep Learning and SHAP Analysis by Kyeong Jin Kim, Ji Hoon Park, Dong Hoo Min, Seun Guy Min

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The relationship between dietary vitamin B1 and stroke: a machine learning analysis of NHANES data by Shihan Guo, Shihan Guo, Xu Jiao, Xu Jiao, Mingfei Li, Zhuo Li, Yun Lu

“…Additionally, the Least Absolute Shrinkage and Selection Operator (LASSO) was utilized for feature selection. Eight machine learning methods were employed to construct predictive models and evaluate their performance. …”
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Design of an Efficient Model for Psychological Disease Analysis and Prediction Using Machine Learning and Genomic Data Samples by Alparthi Kumuda, Saroj Kumar Panigrahy

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Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques. by Apichat Suratanee, Panita Chutimanukul, Tanapon Saelao, Supachitra Chadchawan, Teerapong Buaboocha, Kitiporn Plaimas

“…The neural network model demonstrated high performance, achieving an area under the receiver operating characteristic curve of 0.8113, highlighting its effectiveness in predicting phenolic content levels based on the spectral data. Comparative analysis with other machine learning techniques confirmed the superior performance of the neural network approach. …”
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Public Procurement Announcements in Spain: Regulations, Data Analysis, and Award Price Estimator Using Machine Learning by Manuel J. García Rodríguez, Vicente Rodríguez Montequín, Francisco Ortega Fernández, Joaquín M. Villanueva Balsera

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Machine Learning Analysis of Hydrological and Hydrochemical Data from the Abelar Pilot Basin in Abegondo (Coruña, Spain) by Javier Samper-Pilar, Javier Samper-Calvete, Alba Mon, Bruno Pisani, Antonio Paz-González

“…Here, we report the machine learning analysis of hydrological and hydrochemical data from the Abelar basin. …”
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Enhancing predictive modeling across industries with automated machine learning: applications in insurance and agriculture by K. P. Swain, S. K. Mohapatra, Santosh Kumar Sahoo

“…Similarly, TPOT excelled in optimizing crop yield predictions by automating machine learning pipelines. These findings underscore the versatility of AutoML in handling diverse data contexts, significantly improving model accuracy and reducing manual effort through automation. …”
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Using Machine Learning and Analytical Modeling to Predict Poly-Crystalline PV Performance in Jordan by Sinan S. Faouri, Salah Abdallah, Dana Helmi Salameh

“…This study investigates the performance prediction of poly-crystalline photovoltaic (PV) systems in Jordan using experimental data, analytical models, and machine learning approaches. …”
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Early detection of mental health disorders using machine learning models using behavioral and voice data analysis by Sunil Kumar Sharma, Ahmed Ibrahim Alutaibi, Ahmad Raza Khan, Ghanshyam G. Tejani, Fuzail Ahmad, Seyed Jalaleddin Mousavirad

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Using Machine Learning Method for Variable Star Classification Using the TESS Sectors 1–57 Data by Li-Heng Wang, Kai Li, Xiang Gao, Ya-Ni Guo, Guo-You Sun

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A Novel Data Analytics Methodology for Discovering Behavioral Risk Profiles: The Case of Diners During a Pandemic by Thouraya Gherissi Labben, Gurdal Ertek

Subjects: “…data analytics…”
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Quantum machine learning-based electrokinetic mining for the identification of nanoparticles and exosomes with minimal training data by Abhimanyu Thakur, Pedro Correia Santos Bezerra, Abhishek, Shihao Zeng, Kui Zhang, Werner Treptow, Alexander Luna, Urszula Dougherty, Akushika Kwesi, Isabella R. Huang, Christine Bestvina, Marina Chiara Garassino, Fuyu Duan, Yash Gokhale, Bin Duan, Yin Chen, Qizhou Lian, Marc Bissonnette, Jianpan Huang, Huanhuan Joyce Chen

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