The relationship between multisensory stimulus-integrated foreign language learning models and students’ psychological states and language skill development-an empirical analysis u... by Liu Zhan, Jie Cheng

“…The research focuses on how different combinations of sensory stimuli—visual, auditory, and tactile—affect learning anxiety, motivation, self-confidence, and performance in listening, speaking, reading, and writing.MethodsAn empirical analysis was conducted using data from the Global Learning Assessment Database. …”
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Comparative Analysis of Electricity Consumption Forecast by Mehet Ali ARSLAN, Tarık TALAN

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Multimodal Deep Learning for Android Malware Classification by James Arrowsmith, Teo Susnjak, Julian Jang-Jaccard

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An analysis of students’ voices towards a regional LMS for ELT in Indonesian Islamic schools by Syahara Dina Amalia, Ika Apriani Fata, Saiful Marhaban, Ismul Huda, Abdulhakim Saidu

“…Meanwhile, thematic analysis was performed on the interview data. The results revealed both good and negative attitudes of EB in ELT. …”
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Early Prediction of Students’ Performance Through Deep Learning: A Systematic and Bibliometric Literature Review by İhsan Hakan Selvi, Tuğba Yıldız, Orhan Torkul, Ahmet Kala

“…Early prediction of student performance is a critical and challenging task in the field of Educational Data Mining (EDM), encompassing all levels of education. …”
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AMCL: supervised contrastive learning with hard sample mining for multi-functional therapeutic peptide prediction by Jiwei Fang, Henghui Fan, Jintao Zhao, Jianping Zhao, Junfeng Xia

“…AMCL incorporates a semantic-preserving data augmentation strategy, a multi-label supervised contrastive learning mechanism with hard sample mining, and a weighted combined loss combining Focal Dice Loss (FDL) and Distribution-Balanced Loss (DBL) to alleviate class imbalance issues. …”
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SWOT Analysis on the Use of Haba Inggreh Android Application in High Schools in Nagan Raya Regency by Veni Nella Syahputri, Nyak Mutia Ismail, Kismullah, Herri Darsan

“…Classroom observations and interviews were employed as the data collection techniques, and all the obtained data were analyzed using thematic analysis. …”
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Primary School Teachers' Perceptions of Peer-Assisted Learning by Çiğdem Şahin Taşkın, Meryem Malçok

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Transfer Learning-Based Interpretable Soil Lead Prediction in the Gejiu Mining Area, Yunnan by Ping He, Xianfeng Cheng, Xingping Wen, Yan Yi, Zailin Chen, Yu Chen

“…To address this, we propose a transfer learning-based framework integrated with SHAP analysis for predicting soil Pb content in the Gejiu mining area, Yunnan. …”
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Data Analysis and Prediction for Emergency Supplies Demand Through Improved Dynamics Model: A Reflection on the Post Epidemic Era by Weiqing Zhuang, Qiong Wu, Morgan C. Wang

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Artificial Intelligence in Data Science: Evaluating Forecasting Models for Solar Energy in the Amazon Basin by Andre Luis Ferreira Marques, Ricardo Sbragio, Pedro Luiz Pizzigatti Correa, Marcelo Ramos Martins

“…This study introduces a novel approach using ML and DL methods—integrated with Universal Kriging and Holt-Winters (time series) models — to forecast solar irradiance (kWh/m2) in cities across the state of Amazonas. The analysis is grounded in the Data Science cycle, with input data sourced from both ground stations and satellite products. …”
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The Faces and Forms of Pandemic Humor: Exploring Covid-19 Memes with Visual Machine Learning by Mark Boukes, Giselinde Kuipers, Zilin Lin, Savvas Zannettou

“…This cross-national analysis is enabled by a global dataset with unique data on geographical origin of humor. …”
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Predicting the time to get back to work using statistical models and machine learning approaches by George Bouliotis, M. Underwood, R. Froud

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Applying a Machine Learning Method to Detect Changing Neuronal Activity in Seizure Disorders by Cengiz Gunay, Krishan Bhalsod

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Data driven models for predicting pH of CO2 in aqueous solutions: Implications for CO2 sequestration by Mohammad Rasool Dehghani, Moein Kafi, Hamed Nikravesh, Maryam Aghel, Erfan Mohammadian, Yousef Kazemzadeh, Reza Azin

“…Pearson correlation analysis was used for sensitivity analysis. The results showed that in all models, temperature, solubility, and pressure have a negative correlation with pH, while salinity has a positive correlation. …”
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Sentiment analysis of social media discourse on public perception of online courier services in Saudi Arabia using machine learning by Mohamed Shenify

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An Anomaly Detection Method for Multivariate Time Series Data Based on Variational Autoencoders and Association Discrepancy by Haodong Wang, Huaxiong Zhang

“…Through reconstructing time series data, the model enhances the distinction between normal and anomalous points, learning the association discrepancy during reconstruction to strengthen its ability to identify anomalies. …”
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Advanced Machine Learning Techniques for Predicting Concrete Compressive Strength by Mohammad Saleh Nikoopayan Tak, Yanxiao Feng, Mohamed Mahgoub

“…This paper develops a machine learning model for compressive strength prediction using mix design variables and curing age from a “Concrete Compressive Strength Dataset” obtained from the UCI Machine Learning Repository. …”
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A Stacking Ensemble Framework Leveraging Synthetic Data for Accurate and Stable Crop Yield Forecasting by Muhammad Waqar, Yong-Woon Kim, Yung-Cheol Byun

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Data-Driven Robust Tracking Control for Multi-Player Nonzero-Sum Games With Constrained Inputs by Jingang Zhao, Jun Zhao, Yehan Chang, Guosheng Xu

“…In this paper, the robust tracking control for unknown multi-player nonlinear systems with constrained inputs and uncertainties is studied by data-driven reinforcement learning scheme. In this study, the dependence on system dynamics is relaxed through the use of system input and state data. …”
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