PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

Subjects: “…machine learning…”
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Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices by Caixia Hu, Jie Li, Yaxu Pang, Lan Luo, Fang Liu, Wenhao Wu, Yan Xu, Houyu Li, Bingcang Tan, Guilong Zhang

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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

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Performance of machine learning tools. Comparve analysis of libraries in interpreted and compiled programming languages by Tomasz Wiejak, Jakub Smołka

Subjects: “…machine learning…”
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Radiogenomics and machine learning predict oncogenic signaling pathways in glioblastoma by Abdul Basit Ahanger, Syed Wajid Aalam, Tariq Ahmad Masoodi, Asma Shah, Meraj Alam Khan, Ajaz A. Bhat, Assif Assad, Muzafar Ahmad Macha, Muzafar Rasool Bhat

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Ab-initio trained machine learning potential for MAX compound Ti2AlC: construction, validation, and study of non linear elasticity by Aishwaryo Ghosh, Amitava Moitra, Tanusri Saha-Dasgupta

Subjects: “…machine learning…”
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On Quantum Methods for Machine Learning Problems Part I: Quantum Tools by Farid Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu

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Machine learning-assisted cancer diagnosis in patients with paraneoplastic autoantibodies by Alireza Maleki, Mohammad Mahdi Mirza Ali Mohammadi, Shahab Gholizadeh, Behnaz Dalvandi, Mohammad Rahimi, Aidin Tarokhian

Subjects: “…Machine learning…”
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Evaluation of machine learning models for the prediction of Alzheimer's: In search of the best performance by Michael Cabanillas-Carbonell, Joselyn Zapata-Paulini

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Prediction and unsupervised clustering of fertility intention among migrant workers based on machine learning: a cross-sectional survey from Henan, China by Xinghong Guo, Mingze Ma, Yiyang Chen, Zhaoyang Fang, Jingru Liu, Shuming Yan, Yifei Feng, Xinya Cheng, Jian Wu, Beizhu Ye

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Application of the Different Machine Learning Algorithms to Predict Dry Matter Intake in Feedlot Cattle by Hayati Köknaroğlu, Özgür Koşkan, Malik Ergin

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Interpretable machine learning and radiomics in hip MRI diagnostics: comparing ONFH and OA predictions to experts by Tariq Alkhatatbeh, Ahmad Alkhatatbeh, Qin Guo, Jiechen Chen, Jidong Song, Xingru Qin, Wang Wei

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Machine Learning-Driven Resilient Modulus Prediction for Flexible Pavements Across Mountainous and Other Regions by Rauf Ayesha, Asif Usama, Javed Muhammad Faisal

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Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization by Mohammed Alqarni, Ali Alqarni

Subjects: “…Machine learning…”
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Rating pome fruit quality traits using deep learning and image processing by Nhan H. Nguyen, Joseph Michaud, Rene Mogollon, Huiting Zhang, Heidi Hargarten, Rachel Leisso, Carolina A. Torres, Loren Honaas, Stephen Ficklin

Subjects: “…machine learning…”
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Developing a rapid screening tool for high-risk ICU patients of sepsis: integrating electronic medical records with machine learning methods for mortality prediction in hospitalize... by Songchang Shi, Lihui Zhang, Shujuan Zhang, Jinyang Shi, Donghuang Hong, Siqi Wu, Xiaobin Pan, Wei Lin

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DETEC-ADHD: A Data-Driven Web App for Early ADHD Detection Using Machine Learning and Electroencephalography by Ismael Santarrosa-López, Giner Alor-Hernández, Maritza Bustos-López, Jonathan Hernández-Capistrán, Laura Nely Sánchez-Morales, José Luis Sánchez-Cervantes, Humberto Marín-Vega

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Metabolic Syndrome Prediction Using Machine Learning Models with Genetic and Clinical Information from a Nonobese Healthy Population by Eun Kyung Choe, Hwanseok Rhee, Seungjae Lee, Eunsoon Shin, Seung-Won Oh, Jong-Eun Lee, Seung Ho Choi

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Machine Learning-Based Modeling of Celeration for Predicting Red-Light Violations by Mahmoud Masoud

Subjects: “…Machine learning…”
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Predicting microRNA target genes using pan-cancer correlation patterns by Shuting Lin, Peng Qiu

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