Incremental attribute reduction algorithm for dominance-based neighborhood relative decision entropy by CHEN Baoguo, CHEN Lei, DENG Ming, LI Xiaoyan, CHEN Jinlin

“…Verify the effectiveness of the incremental algorithm through these experimental results.ConclusionsThe experimental results show that the proposed incremental algorithm has better attribute reduction performance on dynamic datasets, significantly improving the efficiency of dynamic attribute reduction while ensuring the number of attribute selections and classification accuracy. …”
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Educational Data Mining: A Foundational Overview by Ilias Papadogiannis, Manolis Wallace, Georgia Karountzou

Subjects: “…educational data mining…”
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Blind signal separation algorithm based on temporal predictability and differential search algorithm by Lei CHEN, Li-yi ZHANG, Yan-ju GUO, Yong HUANG, Jing-yi LIANG

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The swarm intelligence algorithms and their application for the educational data analysis by Y. Yu. Dyulicheva

Subjects: “…educational data analysis…”
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Energy Optimization in Ultrasound Tomography Through Sensor Reduction Supported by Machine Learning Algorithms by Bartłomiej Baran, Tomasz Rymarczyk, Dariusz Majerek, Piotr Szyszka, Dariusz Wójcik, Tomasz Cieplak, Marcin Gąsior, Marcin Marczuk, Edmund Wąsik, Konrad Gauda

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Predicting student retention: A comparative study of machine learning approach utilizing sociodemographic and academic factors by Reymark D. Deleña, Norniña J. Dia, Redeemtor R. Sacayan, Joseph C. Sieras, Suhaina A. Khalid, Amer Hussien T. Macatotong, Sacaria B. Gulam

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Active noise reduction system by Wojciech CIESIELKA

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Real power loss reduction by Rock Dove optimization and Fuligo Septica optimization algorithms by Kanagasabai L.

“…This paper aims to use the Rock Dove (RD) optimization algorithm and the Fuligo Septica optimization (FSO) algorithm for power loss reduction. …”
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Prediction of Hypertension Patients with Machine Learning Algorithm by Eko Priyono

“…These algorithms can predict hypertension risk based on clinical data, such as age, medical history, and lifestyle. …”
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Location prediction algorithm based on movement tendency by Wen LI, Shi-xiong XIA, Feng LIU, Lei ZHANG, Guan YUAN

“…A location prediction algorithm based on movement tendency (LP-MT) was proposed, which not only buils moving object's historical activity model borrowing from Markov thinking, but also added movement tendency as an important reference of location prediction. …”
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Neural network-based link prediction algorithm by Yonghao PAN, Hongtao YU, Shuxin LIU

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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…Predicting academic success has gained interest in education as a strong academic record improves a university’s ranking and increases student employment opportunities. …”
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Traffic Optimization Through Waiting Prediction and Evolutive Algorithms by Francisco García, Helena Hernández, María N. Moreno-García, Juan F. de Paz Santana, Vivian F. López, Javier Bajo

Subjects: “…evolutionary algorithm…”
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Machine learning algorithms for predicting unemployment duration in Russia by Anna A. Maigur

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Using machine learning algorithms to predict colorectal polyps by Xingjian Xiao, Shiyou Liu, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Xianglong Xu

“…Interpretation: Using non-invasive factors and machine learning algorithms can accurately predict the occurrence of colorectal polyps in individuals with positive initial screening results. …”
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Using machine learning algorithms to predict colorectal cancer by Xingjian Xiao, Bo Hong, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Shiyou Liu, Xianglong Xu

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A Review of Link Prediction Algorithms in Dynamic Networks by Mengdi Sun, Minghu Tang

“…Furthermore, dynamic network link prediction algorithms are classified into regular sampling and irregular sampling by the method of network sampling. …”
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Comparative analysis of boosting algorithms for predicting personal default by Nhat Nguyen, Duy Ngo

Subjects: “…Personal default prediction…”
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Improving Prediction Algorithms for Cardiometabolic Risk in Children and Adolescents by Ulla Sovio, Aine Skow, Catherine Falconer, Min Hae Park, Russell M. Viner, Sanjay Kinra

“…We discuss the use of MetS scores and algorithms in an attempt to predict later cardiometabolic risk in children and adolescents and offer suggestions for developing clinically useful algorithms in this population. …”
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Water Quality Prediction Using Artificial Intelligence Algorithms by Theyazn H. H Aldhyani, Mohammed Al-Yaari, Hasan Alkahtani, Mashael Maashi

“…In this work, advanced artificial intelligence (AI) algorithms are developed to predict water quality index (WQI) and water quality classification (WQC). …”
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