Empowering Diagnostics: An Ensemble Machine Learning Model for Early Liver Disease Detection by Abdulrahman Ahmed Jasim, Hajer Alwindawi, Layth Rafea Hazim

“…We then perform correlation-based feature reduction before training a stacking classifier that combines Random Forest, XGBoost, and ExtraTrees base learners with an ExtraTrees meta‑learner. …”
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Construction of political education in learning Pancasila and citizenship in increasing students' political awareness by M Ari Kuwoto, Rini Sudarmanti, Atika Budhi Utami

“…The results indicate that the implementation of civic education through Pancasila learning and civic education involves the development of learning materials and the use of learning models. …”
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Character Transformation Through the Implementation of the Radec Learning Model at the Elementary School Level by Nana Suryana, Wahyu Sopandi, Dasim Budimansyah, Yadi Ruyadi

“… This study aims to explore character transformation through the implementation of the RADEC (Read, Answer, Discuss, Explain, Create) learning model at the elementary school level. The research was conducted in Cluster III, Pagerageung District, Tasikmalaya Regency. …”
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Machine Learning Innovations for Improving Mineral Recovery and Processing: A Comprehensive Review* by Korie, Josephmartin Izuchukwu*, Chudi-Ajabor, Ogochukwu Gabriela, Ezeonyema, Chukwudalu Chukwuekezie, Oshim, Francisca Ogechukwu

“…To overcome the limitations of traditional mineral processing and recovery methods, cutting-edge technologies, including Machine learning (ML), emerge as a paradigm shift in this sector, offering predictive insights, data analysis, and real-time monitoring capabilities. …”
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Machine Learning-Driven Prediction of Vitamin D Deficiency Severity with Hybrid Optimization by Usharani Bhimavarapu, Gopi Battineni, Nalini Chintalapudi

“…To enhance the capacity of the classification system to predict multiple classes, preprocessing procedures such as data reduction, cleaning, and transformation were used on the raw vitamin D dataset. …”
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Predicting Soccer Player Salaries with Both Traditional and Automated Machine Learning Approaches by Davronbek Malikov, Pilsu Jung, Jaeho Kim

“…To address these challenges, this study adopts machine learning (ML) techniques that model player salaries based on a combination of performance metrics and contextual features. …”
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PROJECT-BASED DIGITAL GUIDEBOOK: LEARNING TO WRITE SPEECH TEXTS FOR ELEMENTARY STUDENTS by Afrilia Bayu Ivanka, Cerianing Putri Pratiwi, Ivayuni Listiani

“…The steps in data analysis are (1) Data collection, (2) Data reduction, (3) Data presentation, and (4) Conclusion drawing/verification. …”
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Multi energy dynamic soaring trajectory optimization method based on reinforcement learning by ZHANG Yunfei, WANG Honglun, ZHANG Menghua, GONG Yinan

“…The results indicate that the dynamic soaring trajectory optimization method based on deep reinforcement learning achieves energy acquisition comparable to optimal outcomes within a single soaring cycle, with a 91% reduction in real-time inference decision time. …”
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Distributed Deep Reinforcement Learning Via Split Computing For Connected Autonomous Vehicles by Rauch Robert, Gazda Juraj

“…The primary objective of this research is to reduce latency in deep reinforcement learning tasks for autonomous vehicles. In this regard, proposed approach achieves up to 66.5% improvement in latency reduction compared to baseline methods. …”
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Comparison of various machine learning regression models based on Human age prediction by Dr.Manaf K Hussein

“… The development of machine learning strategies has made it possible to diagnose some disease automatically based on data obtained from medical imaging. …”
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Predicting Ship Waiting Times Using Machine Learning for Enhanced Port Operations by Min-Hwa Choi, Woongchang Yoon

“…By using a dataset of 121,401 voyage records, we evaluated nine regression models, including conventional, ensemble-based, and deep learning models. Shapley additive explanation (SHAP)-based feature selection is typically applied to enhance interpretability, and its effect is compared with principal component analysis-based dimensionality reduction and nonselection methods. …”
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Ethnosocial Learning Based on Socio-Cultural Literacy: An Exploratory Study in Elementary School by Elya Umi Hanik, Sintha Sih Dewanti, Ibrahim

“… This research aims to explore the application of the ethnic social learning model, which is grounded in socio-cultural literacy, at the Miftahul Ulum Elementary School in Loram Kudus. …”
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Character Building Through Differentiated Learning of Islamic Religious Education in the Digital Era by Al Ihwanah, Abdullah Idi, Karoma Karoma, Ni'mah Afifah, Diana

“…The data were analyzed using Miles and Huberman's interactive model, which includes data reduction, data display, and conclusion drawing. This study concludes that the implementation of differentiated learning in Islamic Religious Education (PAI), supported by digital technology, effectively enhances students' character development. …”
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Predicting Oil Price Trends During Conflict With Hybrid Machine Learning Techniques by Hicham Boussatta, Marouane Chihab, Mohamed Chiny, Younes Chihab

“…Using advanced machine learning techniques, we developed a hybrid system combining Random Forest, ElasticNet, K-Nearest Neighbors, Gradient Boosting, and Support Vector Regressor models. …”
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HARNESSING MACHINE LEARNING IN HPV DIAGNOSTICS: MODEL PERFORMANCE, EXPLAINABILITY, AND CLINICAL INTEGRATION by Bahar Senel

“…Recent advances in machine learning (ML) have enabled more precise and automated HPV detection and genotyping. …”
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BUILDING ELEMENTARY STUDENTS' MOTIVATION THROUGH SOCIO-EMOTIONAL COMPETENCE IN DIFFERENTIATED LEARNING by Marfita Ike Prajayana, Erna Yayuk, Kuncahyono Kuncahyono

“…One key element is differentiated instruction, which accommodates diverse student learning needs through differentiation in content, process, and product. …”
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Collision-Free Path Planning for Multiple Drones Based on Safe Reinforcement Learning by Hong Chen, Dan Huang, Chenggang Wang, Lu Ding, Lei Song, Hongtao Liu

“…Reinforcement learning (RL) has been shown to be effective in path planning. …”
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Learning-Based Energy Management System for Scheduling of Appliances inside Smart Homes by Nastaran Gholizadeh, Mehrdad Abedi, Hamed Nafisi, Mousa Marzband

“…Doing so, the home energy management system is able to achieve energy cost and consumption reduction without causing dissatisfaction and discomfort to the users. …”
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Absence of astrocytic ceruloplasmin reverses the senescence process with aging of learning and memory abilities by Zhong-Da Li, Shaomeng Kang, Haiyan Li, Peng Yu, Ruikun Xie, Chenchen Li, Qi Jing, Zhengzheng Gong, Li Li, Zhengning Li, Mengyu Geng, Zihan Zhang, Yang Li, Yan-Zhong Chang

“…Ultimately, the alleviated cellular senescence along with the reduction in AD-related markers, coincided with an improvement in learning, memory, and recognition abilities. …”
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STEAM approach in project-based learning to develop mathematical literacy and students' character by In In Supianti, Poppy Yaniawati, Ebenezer Bonyah, Astri Widiastuti Hasbiah, Nisrina Rozalini

“…This study investigated the effectiveness of a STEAM-based Project-Based Learning (PjBL) approach on mathematical literacy and character development among secondary school students. …”
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