Parametric Analysis Towards the Design of Micro-Scale Wind Turbines: A Machine Learning Approach by Raneem Mansour, Seifelden Osama, Hazem Ahmed, Mohamed Nasser, Norhan Mahmoud, Amira Elkodama, Amr Ismaiel

“…This is usually made using wind turbine simulation software. This work presents a data-based machine learning (ML) approach towards the design of a micro-scale wind turbine. …”
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Research on Video Behavior Detection and Analysis Model for Sow Estrus Cycle Based on Deep Learning by Kaidong Lei, Bugao Li, Shan Zhong, Hua Yang, Hao Wang, Xiangfang Tang, Benhai Xiong

“…This study constructs a 3D-CNN model based on video data from the sow estrus cycle, achieving analysis of SOB, SOC, SOS, and SOW behaviors. …”
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Predicting the Risk of Lumbar Prolapsed Disc: A Gene Signature-Based Machine Learning Analysis by Fengfeng Wang, Fei Meng, Stanley Sau Ching Wong

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Machine learning analysis of emerging risk factors for early-onset hypertension in the Tlalpan 2020 cohort by Mireya Martínez-García, Guadalupe O. Gutiérrez-Esparza, Guadalupe O. Gutiérrez-Esparza, Manlio F. Márquez, Manlio F. Márquez, Luis M. Amezcua-Guerra, Enrique Hernández-Lemus, Enrique Hernández-Lemus

“…This study aims to investigate the emerging early-onset hypertension risk factors using a data-driven approach by implementing machine learning models within a well-established cohort in Mexico City, comprising initially 2,500 healthy adults aged 18 to 50 years.MethodsHypertensive individuals were newly diagnosed during 6,000 person-years, and normotensive individuals were those who, during the same time, remained without exceeding 140 mm Hg in systolic blood pressure and/or diastolic blood pressure of 90 mm Hg. …”
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Diagnosis accuracy of machine learning for idiopathic pulmonary fibrosis: a systematic review and meta-analysis by Li Cong, Ying Chen, Xiaolei He, MaiLiKai KuErBan, Chao Wu, Liping Chen

“…Objective We conducted a systematic review and meta-analysis to explore the diagnostic efficiency of image-based machine learning (ML) for IPF. …”
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Toward AI-Driven Cough Sound Analysis for Respiratory Disease Diagnosis by Houda Benaliouche, Houda Hafi, Hakim Bendjenna, Zeyad Alshaikh

“…This significant advantage is attributed 1) the capacity of transfer learning to utilize prior knowledge from related domains, even in data-scarce target tasks, and 2) the proficiency of MFCC in capturing and representing the rich and essential information embedded within cough sounds. …”
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Enhancing the Teaching-Learning Process through Neutrosophic Statistical Analysis of Professional Competencies and Metacognitive Strategies by Dante Manuel Macazana Fernandez, Wilder Fabio Ramos Palacios, Daniel Amílcar Pinto Pagaza, Mary Liz Mendoza Hidalgo, Tula Margarita Espinoza Moreno, Mayra Susan Albán Taipe

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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

“…This study aimed to analyze the themes and topics of the scientific publications related to acupuncture therapy in the past two decades by machine learning. Methods: The MeSH term ''Acupuncture Therapy'' was used for searching publications from 1st January, 2004–31 st December, 2023 on the PubMed database, while the R platform was adopted to obtain associated data. …”
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ANALISIS MOTIVASI BELAJAR INTRINSIK PADA PEMBELAJARAN MATEMATIKA KELAS XI SMA NEGERI 1 KEDUNGREJA by Alviansyah Putra Indrayadi, Dwi Rachmanto, Nandita Ratih Dewi Lukito, Zulfa Nur Rokhisa, Sumbaji Putranto

“…The results showed that there were 15 students with high intrinsic motivation category and 5 students with medium category. Analysis of the average score per indicator for the two categories of intrinsic learning motivation shows that all indicators are in the high category, both high and moderate motivation. …”
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Integrating Dimensional Analysis and Machine Learning for Predictive Maintenance of Francis Turbines in Sediment-Laden Flow by Álvaro Ospina, Ever Herrera Ríos, Jaime Jaramillo, Camilo A. Franco, Esteban A. Taborda, Farid B. Cortes

“…The dataset consisted of 60,501 samples recorded over 15 days, offering a robust basis for assessing turbine behavior under real-world operating conditions. An exploratory data analysis (EDA) was conducted by integrating linear regression and a time-series analysis to investigate efficiency dynamics. …”
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Machine-Learning-Based Rollover Risk Prediction for Autonomous Trucks: A Dynamic Stability Analysis by Heung-Shik Lee

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Analysis of stress distribution of CFRP bonded joints: A study of numerical and machine learning approach by Shah Mohammad Azam Rishad, Md Ashraful Islam, Md Shahidul Islam

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Holistic Approach for Automated Reverse Engineering of Unified Diagnostics Service Data by Nico Rosenberger, Nikolai Hoffmann, Alexander Mitscherlich, Markus Lienkamp

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Spatial analysis of air pollutant exposure and its association with metabolic diseases using machine learning by Jingjing Liu, Chang Liu, Zhangdaihong Liu, Yibin Zhou, Xiaoguang Li, Yang Yang

“…This study introduces a novel machine learning (ML) pipeline, an Algorithm for Spatial Relationships Analysis between Exposome and Metabolic Diseases (ASEMD), to analyze spatial associations between APs and MDs at the prefecture-level city scale in China. …”
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Contrastive Learning Pre-Training and Quantum Theory for Cross-Lingual Aspect-Based Sentiment Analysis by Xun Li, Kun Zhang

“…Firstly, we develop a contrastive learning strategy to align data between the source and target languages. …”
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Analysis of student’s mathematical problem-solving ability with moderate learning readiness based on Polya’s theory by Nur Fauziyah, Zattira Nadia Rahma

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Predictive Analysis of Cardiovascular Disease Risk Factors in Romania using Machine Learning and Medical Statistics by Radu-Anton MOLDOVAN, Sebastian-Aurelian ŞTEFĂNIGĂ

“…To do this, we used machine learning algorithms such as logistic regression, random forests, support vector machines (SVM), and artificial neural networks (ANNs) to forecast cardiovascular risk factors from past medical data and epidemiology trends. …”
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Interpretive prediction of hyperuricemia and gout patients via machine learning analysis of human gut microbiome by Jia-Wei Tang, Alfred Chin Yen Tay, Liang Wang

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Analysis of Hybrid Learning Sentiment among Information Systems Students using The Naïve Bayes Classifier by Dolly Indra, Ramdaniah Ramdaniah, Widianti Sukur

“…The research stages included data collection, preprocessing, Naïve Bayes model training, model evaluation, and sentiment analysis. …”
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Optimizing photovoltaic integration in grid management via a deep learning-based scenario analysis by Zhiming Gu, Bo Li, Guipeng Zhang, Bo Li

“…Through a scenario-driven predictive analysis, this framework provides data-driven optimization for energy systems, strengthening their resilience against renewable energy intermittency. …”
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