Predicting macular hole surgery outcomes: Integrating preoperative OCT features with supervised machine learning statistical models by Ramesh Venkatesh, Priyanka Gandhi, Ayushi Choudhary, Gaurang Sehgal, Kanika Godani, Shubham Darade, Rupal Kathare, Prathiba Hande, Vishma Prabhu, Jay Chhablani

Subjects: “…machine learning…”
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Retracted: Implementing Machine Learning for Supply-Demand Shifts and Price Impacts in Farmer Market for Tool and Equipment Sharing by Journal of Food Quality

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Machine learning approaches for predicting and validating mechanical properties of Mg rare earth alloys for light weight applications by Sandeep Jain, Ayan Bhowmik, Jaichan Lee

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Understanding the spread of agriculture in the Western Mediterranean (6th-3rd millennia BC) with Machine Learning tools by Maria Elena Castiello, Emmanuele Russo, Héctor Martínez-Grau, Ana Jesus, Georgina Prats, Ferran Antolín

“…Here, we tackle this question by compiling data and proxies at a superregional and multi-scale level, including archaeobotanical information, radiocarbon dates and paleoclimatic models, then applying a machine learning approach to investigate the impact of ecological and climatic constraints on the first Neolithic humans and crops. …”
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Multi-Person Localization Based on a Thermopile Array Sensor with Machine Learning and a Generative Data Model by Stefan Klir, Julian Lerch, Simon Benkner, Tran Quoc Khanh

“…Current research has shown that there are two machine learning-based algorithms that are particularly prominent for general object detection: You Only Look Once (YOLOv5) and Detection Transformer (DETR). …”
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Machine Learning-Based Anomaly Prediction for Proactive Monitoring in Data Centers: A Case Study on INFN-CNAF by Andrea Asperti, Gabriele Raciti, Elisabetta Ronchieri, Daniele Cesini

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Feature Selection in Cancer Classification: Utilizing Explainable Artificial Intelligence to Uncover Influential Genes in Machine Learning Models by Matheus Dalmolin, Karolayne S. Azevedo, Luísa C. de Souza, Caroline B. de Farias, Martina Lichtenfels, Marcelo A. C. Fernandes

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APPLICATION OF OPTICAL CHARACTER RECOGNITION AND MACHINE LEARNING TECHNOLOGIES TO CREATE AN INFORMATION SYSTEM FOR AUTOMATIC VERIFICATION OF OFFLINE TESTING by Vadym Ziuziun, Nikita Petrenko

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Machine learning-driven analysis of heat transfer in chemically reactive fluid flow considering Soret-Dufour effects by Shazia Habib, Saleem Nasir, Zeeshan Khan, Abdallah S. Berrouk, Waseem, Saeed Islam

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Calculating the High‐Latitude Ionospheric Electrodynamics Using a Machine Learning‐Based Field‐Aligned Current Model by V. Sai Gowtam, Hyunju Connor, Bharat S. R. Kunduri, Joachim Raeder, Karl M. Laundal, S. Tulasi Ram, Dogacan S. Ozturk, Donald Hampton, Shibaji Chakraborty, Charles Owolabi, Amy Keesee

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A comprehensive overview of acupuncture therapy over the past 20 years: Machine learning-based bibliometric analysis by Chen Liu, Shuqing Liu, Yu Wang, Xinyi Xia, Yu Zhang, Huili Jiang, Tuya Bao, Xuehong Ma

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Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation by Darwin Li

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Machine learning-based prediction of in-hospital mortality for critically ill patients with sepsis-associated acute kidney injury by Tianyun Gao, Zhiqiang Nong, Yuzhen Luo, Manqiu Mo, Zhaoyan Chen, Zhenhua Yang, Ling Pan

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Using Infrared Raman Spectroscopy with Machine Learning and Deep Learning as an Automatic Textile-Sorting Technology for Waste Textiles by Pei-Fen Tsai, Shyan-Ming Yuan

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The impact of ecological civilization construction on the resilience of green technology innovation: evidence based on double dual machine learning by Cunlin Li, Cunlin Li, Shiyu Zhang, Shiyu Zhang, Baojun Yang, Baojun Yang

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Evaluating Machine Learning Models for Prostate Cancer Classification Using Gene Expression Profiles from DNA Microarrays by Haddou Bouazza Sara, Haddou Bouazza Jihad

“…This study evaluates various machine learning models for classifying prostate cancer using gene expression profiles from DNA microarrays. …”
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Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach by Soheil Hashtarkhani, Yiwang Zhou, Fekede Asefa Kumsa, Shelley White-Means, David L Schwartz, Arash Shaban-Nejad

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Periodontal Disease Detection with Machine Learning Technology From Radiographic Images : An Interdisciplinary Study Of Dentistry and Computer Science by Yusra Fadhillah, Ade Ismail Abdul Kodir, Muhammad Noor Hasan Siregar

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MiCML: a causal machine learning cloud platform for the analysis of treatment effects using microbiome profiles by Hyunwook Koh, Jihun Kim, Hyojung Jang

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Integration of field data and application of machine learning methods to assess the condition of the near-wellbore zone of carbonate reservoirs by Andrey V. Soromotin, Dmitriy A. Martyushev

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