Analysis of Student Learning Barriers for Elementary School Students in Understanding Mathematical Concepts of Fractions by Meilani Rohmelia Dewi, Jumadi, Wahyudi

“…The data analysis technique was carried out in three stages, namely data condensation, data presentation, and conclusion. …”
Get full text

Comparative analysis of supervised learning models for effluent quality prediction in wastewater treatment plants. by Liu Bo-Qi, Zhou Ding-Jie, Zhao Yang, Shi Long-Yu

Get full text

PREDICTION INTERVALS IN MACHINE LEARNING: RESIDUAL BOOTSTRAP AND QUANTILE REGRESSION FOR CASH FLOW ANALYSIS by Wa Ode Rahmalia Safitri, Farit Mochamad Afendi, Budi Susetyo

Get full text

Evolution of machine learning applications in medical and healthcare analytics research: A bibliometric analysis by Samuel-Soma M. Ajibade, Gloria Nnadwa Alhassan, Abdelhamid Zaidi, Olukayode Ayodele Oki, Joseph Bamidele Awotunde, Emeka Ogbuju, Kayode A. Akintoye

“…An analysis of the extracted data is then conducted to identify the trends in the machine learning applications in medical and healthcare research. …”
Get full text

Feature importance analysis of solar flares and prediction research with ensemble machine learning models by Yun Yang, Yun Yang

“…Considering the imbalance of the flare data set, three ensemble learning models (Balanced Random Forest (BRF), RUSBoost (RBC), and NGBoost (NGB)) were utilized, which have gained popularity in statistical machine learning theory in recent years, combined with imbalanced data sampling techniques, to classify and predict the labels representing flare eruptions in the test set. …”
Get full text

Improved Mixture Cure Model Using Machine Learning Approaches by Huina Wang, Tian Feng, Baosheng Liang

Get full text

Developments in Deep Learning Artificial Neural Network Techniques for Medical Image Analysis and Interpretation by Olamilekan Shobayo, Reza Saatchi

“…Deep learning has revolutionised medical image analysis, offering the possibility of automated, efficient, and highly accurate diagnostic solutions. …”
Get full text

Application of machine learning for predicting the incubation period of water droplet erosion in metals by Khaled AlHammad, Mamoun Medraj, Moussa Tembely

“…Hyperparameter optimization techniques showed minimal improvement in model performance, suggesting that the transformations effectively captured the underlying relationships in the data. This research represents the first comprehensive application of ML techniques to WDE incubation period prediction, establishing a methodological framework that integrates experimental data, statistical analysis, and advanced ML algorithms. …”
Get full text

Comparative Analysis of Machine Learning Models for Predicting Innovation Outcomes: An Applied AI Approach by Marko Martinović, Kristian Dokic, Dalibor Pudić

Get full text

End-of-Line Quality Control Based on Mel-Frequency Spectrogram Analysis and Deep Learning by Jernej Mlinarič, Boštjan Pregelj, Gregor Dolanc

“…The proposed approach addresses these issues by learning discriminative patterns directly from raw sensor data and automating the classification process. …”
Get full text

A Hybrid Deep Learning Approach for Enhanced Sentiment Classification and Consistency Analysis in Customer Reviews by Shaymaa E. Sorour, Abdulrahman Alojail, Amr El-Shora, Ahmed E. Amin, Amr A. Abohany

“…This paper presents a novel hybrid deep learning model, WDE-CNN-LSTM, designed to enhance the sentiment classification of consumer reviews. …”
Get full text

Cluster Change Analysis to Assess the Effectiveness of Speaking Skill Techniques using Machine Learning by Nunik Herani Wulandari, Vega Purwayoga

Get full text

Identification of fungal diseases in strawberry by analysis of hyperspectral images using machine learning methods by A. F. Cheshkova

“…The reflection spectrum of leaves was acquired with a Photonfocus MV1-D2048x1088-HS05-96-G2-10 hyperspectral camera under laboratory conditions using the line scanning method. Five machine learning methods were considered to differentiate between healthy and diseased leaf areas: Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Linear Discriminant Analysis (LDA), Partial Least Squares Discriminant Analysis (PLS-DA), and Random Forest (RF). …”
Get full text

Personality Analysis of Students’ Writing in Social Media-Based Learning Environments by Nisserine El Bahri, Zakaria Itahriouan, Anouar Abtoy, Mohammed Ouazzani Jamil

Get full text

Analysis of disease severity and mortality prediction using machine learning during COVID-19 by Hodjat (Hojatollah) Hamidi, Mostafa Moradi

“…The main innovation of this paper is the comparative analysis of different models for diagnosis using statistical data. …”
Get full text

Cervical cancer prediction using machine learning models based on routine blood analysis by Jie Su, Hui Lu, Ruihuan Zhang, Na Cui, Chao Chen, Qin Si, Biao Song

Get full text

Comparative Analysis of Arabic Language Learning Management in Formal and Non-Formal Educational Institutions by Khoeriyah Ajeng Prasasti, Ahmadi, Ali Samaila

Get full text

Machine-Learning-Driven Analysis of Wear Loss and Frictional Behavior in Magnesium Hybrid Composites by Barun Haldar, Hillol Joardar, Arpan Kumar Mondal, Nashmi H. Alrasheedi, Rashid Khan, Murugesan P. Papathi

“…Key parameters, including reinforcement content (0–10 wt%), applied load (5–30 N), sliding speed (0.5–3 m/s), and sliding distance (500–3000 m), were varied. Data-driven machine learning (ML) algorithms were utilized to identify complex patterns and predict relationships between input variables and output responses. …”
Get full text

An Improved Decline Curve Analysis Method via Ensemble Learning for Shale Gas Reservoirs by Yu Zhou, Zaixun Gu, Changyu He, Junwen Yang, Jian Xiong

“…We evaluated this method using data from 22 shale gas wells in region L, China, comparing it to six traditional DCA models, including Arps and the Logistic Growth Model (LGM). …”
Get full text

TAM-Based Model for Evaluating Learner Satisfaction of E-Learning Services Case Study: E-Learning System of University of Tehran by Sina Sayardoost Tabrizi, Azin Sabzian, Ali Moeini, Keikhosrow Yakideh

“…During the COVID-19 pandemic, universities worldwide favored distance learning systems. Although e-learning provides numerous benefits, it also poses challenges for learners, so learners’ satisfaction is a significant concern to be assessed. …”
Get full text