Machine learning model to predict the adherence of tuberculosis patients experiencing increased levels of liver enzymes in Indonesia. by Dyah Aryani Perwitasari, Imaniar Noor Faridah, Haafizah Dania, Didik Setiawan, Triantoro Safaria

“…We used the ORANGE Data mining as the machine learning to predict the adherence. We recruited 201 patients, whereas the male participants and less than 61 years old as the dominant participants. …”
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Mutual coupling of neurons in the circadian master clock: What we can learn from fruit flies by Charlotte Helfrich-Förster, Nils Reinhard

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Predicting the Progress of Tuberculosis by Inflammatory Response-Related Genes Based on Multiple Machine Learning Comprehensive Analysis by Shuai Ma, Peifei Peng, Zhihao Duan, Yifeng Fan, Xinzhi Li

“…The TB datasets were downloaded from the GEO database. Three machine learning models, namely LASSO, RF, and SVM-RFE, were used to identify the key characteristic genes related to inflammation during the progression of LTBI to ATB. …”
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Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach by Sumaira Tabassum, M. Jawad Khan, Javaid Iqbal, Asim Waris, M. Adeel Ijaz

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EFL teachers’ attitudes towards online learning in Palestinian high schools during the COVID-19 pandemic by Mohammed Farrah, Israa Othman Zalloum

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Higher-Order Iterative Learning Control with Optimal Control Gains Based on Evolutionary Algorithm for Nonlinear System by Yun-Shan Wei, Xiaofen Yang, Wenli Shang, Ying-Yu Chen

“…For the nonlinear discrete-time system, higher-order iterative learning control (HOILC) with optimal control gains based on evolutionary algorithm (EA) is developed in this paper. …”
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Modeling of winter wheat yield prediction based on solar-induced chlorophyll fluorescence by machine learning methods by Minxue Zheng, Han Hu, Yue Niu, Qiu Shen, Feng Jia, Xiaolei Geng

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Non-linear multi-objective optimization model of production planning based on fuzzy logic and machine learning by Zahra Saeidi Mobarakeh, Hossein Amoozadkhalili

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Enhancing water pump failure prediction using machine learning: a focus on less-explored variables by Reza Rasinojehdehi, Goran Cirovic

Subjects: “…machine learning…”
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RETRACTED ARTICLE: Construction and validation of a machine learning-based immune-related prognostic model for glioma by Qi Mao, Zhi Qiao, Qiang Wang, Wei Zhao, Haitao Ju

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EFNet: estimation of left ventricular ejection fraction from cardiac ultrasound videos using deep learning by Waqas Ali, Wesam Alsabban, Muhammad Shahbaz, Ali Al-Laith, Bassam Almogadwy

“…Manual evaluation is time-consuming and exhibits high variability among observers. Deep-learning techniques offer precise and autonomous EF predictions, yet these methods often lack explainability. …”
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A Multi-Level Multiple Contrastive Learning Method for Single-Lead Electrocardiogram Atrial Fibrillation Detection by Yonggang Zou, Peng Wang, Lidong Du, Xianxiang Chen, Zhenfeng Li, Junxian Song, Zhen Fang

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History of Illicit Stimulant Use Is Not Associated with Long-Lasting Changes in Learning of Fine Motor Skills in Humans by Gabrielle Todd, Verity Pearson-Dennett, Stanley C. Flavel, Miranda Haberfield, Hannah Edwards, Jason M. White

“…Little is known about the long-lasting effect of use of illicit stimulant drugs on learning of new motor skills. We hypothesised that abstinent individuals with a history of primarily methamphetamine and ecstasy use would exhibit normal learning of a visuomotor tracking task compared to controls. …”
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The effect of the Ayas model to learning individual fast attack and high-order thinking skills of handball for students by Ali Radhi Abdul Hussein

“…This study aimed to investigate the effect of the Ayas Model on learning individual fast attack techniques and higher-order thinking skills in handball among students. …”
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INVESTIGATING THE EXPERIENCES OF STUDENTS WITH DISABILITIES WITH E-LEARNING DURING THE COVID-19 PANDEMIC IN VIETNAMESE HIGHER EDUCATION by Hoang Thien Nguyen, Thi Ngoc Nga Nguyen, Thi Kim Cuc Ly, Dong Khanh Nguyen, Hoang Thao Nhi Ho, Thi Hong Nhung Truong

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STUDENTS' PERCEPTIONS AND MOTIVATION TOWARD E-LEARNING AT AKM HIGH SCHOOL DURING THE COVID-19 PANDEMIC by Nur Fitria Anggrisia, M. Fadel Ihza Islami

Subjects: “…online learning…”
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Edge intelligence for poultry welfare: Utilizing tiny machine learning neural network processors for vocalization analysis by Ramasamy Srinivasagan, Mohammed Shawky El Sayed, Mohammed Ibrahim Al-Rasheed, Ali Saeed Alzahrani

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Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning by Brandon K. Phan, Kuan-Hsuan Shen, Rishi Gurnani, Huan Tran, Ryan Lively, Rampi Ramprasad

“…Abstract Machine learning (ML) models for predicting gas permeability through polymers have traditionally relied on experimental data. …”
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Correction: Application of deep learning and feature selection technique on external root resorption identification on CBCT images by Nor Hidayah Reduwan, Azwatee Abdul Aziz, Roziana Mohd Razi, Erma Rahayu Mohd Faizal Abdullah, Seyed Matin Mazloom Nezhad, Meghna Gohain, Norliza Ibrahim

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Development of Problem Solving Based E-Modules Assisted by Flipbook in Physics Learning for Middle School Students by Alvina Damaiyanti, Haratua Tiur Maria Silitonga, Muhammad Musa Syarif Hidayatullah

“…The results demonstrate that the problem-solving-based e-module, supplemented by a flipbook, is an excellent physics learning medium for enhancing problem-solving skills related to the theme of matter and its transformations.…”
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