Relative Fat Mass and Physical Indices as Predictors of Gallstone Formation: Insights From Machine Learning and Logistic Regression by Deng L, Wang S, Wan D, Zhang Q, Shen W, Liu X, Zhang Y

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SineKAN: Kolmogorov-Arnold Networks using sinusoidal activation functions by Eric Reinhardt, Dinesh Ramakrishnan, Sergei Gleyzer

Subjects: “…machine learning (ML)…”
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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

Subjects: “…machine learning models…”
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Performance Evaluation of Machine Learning Models for Predicting Energy Consumption and Occupant Dissatisfaction in Buildings by Haidar Hosamo, Silvia Mazzetto

Subjects: “…machine learning models…”
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Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, Ehab M. Almetwally, Marwa M. Eid, El-Sayed M. El-Kenawy

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Estimation of minimum miscible pressure in carbon dioxide gas injection using machine learning methods by Ali Akbari, Ali Ranjbar, Yousef Kazemzadeh, Fatemeh Mohammadinia, Amirjavad Borhani

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Determination of 5-fluorouracil anticancer drug solubility in supercritical CO 2 using semi-empirical and machine learning models by Gholamhossein Sodeifian, Ratna Surya Alwi, Reza Derakhsheshpour, Nedasadat Saadati Ardestani

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Real-Time Mouse Data Protection Method Using GANs for Image-Based User Authentication Based on GetCursorPos() and SetCursorPos() Functions by Jinwook Kim, Kyungroul Lee, Hanjo Jeong

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AI-Driven Mental Health Surveillance: Identifying Suicidal Ideation Through Machine Learning Techniques by Hesham Allam, Chris Davison, Faisal Kalota, Edward Lazaros, David Hua

Subjects: “…machine learning…”
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Radio signal recognition based on image deep learning by Xin ZHOU, Xiaoxin HE, Changwen ZHENG

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Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration by Houda Lamane, Latifa Mouhir, Rachid Moussadek, Bouamar Baghdad, Ozgur Kisi, Ali El Bilali

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Machine learning based sucker rod pump fault diagnosis using motor power curve by Othman H. Ahmed, Samuel I. Tecle, Anatoliy A. Zyuzev, Vladimir P. Metelkov

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Learning the factors controlling mineral dissolution in three-dimensional fracture networks: applications in geologic carbon sequestration by Aleksandra A. Pachalieva, Aleksandra A. Pachalieva, Jeffrey D. Hyman, Daniel O’Malley, Gowri Srinivasan, Hari Viswanathan

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Time Series Methods and Business Intelligent Tools for Budget Planning—Case Study by Katarzyna Grobler-Dębska, Rafał Mularczyk, Bartłomiej Gawęda, Edyta Kucharska

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Development and validation of machine learning models for MASLD: based on multiple potential screening indicators by Hao Chen, Jingjing Zhang, Xueqin Chen, Ling Luo, Wenjiao Dong, Yongjie Wang, Jiyu Zhou, Canjin Chen, Wenhao Wang, Wenbin Zhang, Zhiyi Zhang, Yongguang Cai, Danli Kong, Yuanlin Ding

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Automatic priority analysis of emergency response systems using internet of things (IoT) and machine learning (ML) by Abu S.M. Mohsin, Shadab H. Choudhury, Munyem Ahammad Muyeed

Subjects: “…Internet of things (IoT) and machine learning…”
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fNIRS Classification of Adults With ADHD Enhanced by Feature Selection by Minyeong Hong, Suh-Yeon Dong, Roger S. McIntyre, Soon-Kiat Chiang, Roger Ho

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Lattice-inspired NiTi-based metamaterials with widely tunable mechanical-superelastic synergy by Zhi Zhang, Jianbao Gao, Shuaishuai Wei, Bo Song, Yonggang Yao, Xu Zheng, Yuanjie Zhang, Lei Zhang, Qiaojiao Li, Jiafeng Wu, Yusheng Shi

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Empowering human resource management through artificial intelligence: A systematic literature review and bibliometric analysis by Adil Benabou, Fatima Touhami

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Machine learning integrated with in vitro experiments for study of drug release from PLGA nanoparticles by Yu Sun, Shuhuai Qin, Yingli Li, Naimul Hasan, Yan Vivian Li, Jiangguo Liu

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