Analysis of Travel Mode Choice in Seoul Using an Interpretable Machine Learning Approach by Eui-Jin Kim

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An empirical analysis of homicides in Mexico through Machine Learning and statistical design of experiments by Jose Eliud Silva Urrutia, Miguel A. Villalobos

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Optimizing Curriculum for Students: A Machine Learning Approach to Time Management Analysis by Jianmin Dong

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Analysis of Mathematics Learning Difficulties in Material Greatest Common Factor Class VII by M Muthmainnah

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Deep learning-based approach to third molar impaction analysis with clinical classifications by Yunus Balel, Kaan Sağtaş

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Hollows on Mercury: Creation and Analysis of a Global Reference Catalog With Deep Learning by Valentin T. Bickel, Ariel N. Deutsch, David T. Blewett

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Disease Detection in Tomato Fruit Using Deep Learning Algorithms: Comparative Analysis by Fatma Feyza Akyol, Ayhan İstanbullu, Faruk Özel

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Mapping students' perceptions of mathematics learning: a principal component analysis study by Silfia Hayuningrat, Lihar Raudina Izzati, Dadang Juandi, Jihe Chen, Trysa Gustya Manda

“…This study investigated the multidimensional landscape of students' perceptions of mathematics learning using principal component analysis (PCA). …”
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Ecoprint Analysis of Pounding Technique as an Aesthetic Synergy for Art, Culture, and Craft Learning by Livia Sugiastutih, Arina Restian, Kuncahyono Kuncahyono

“…This study aims to analyze the application of the ecoprint technique using pounding in visual arts learning for 4th-grade elementary school students. …”
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Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization by Mohammed Alqarni, Ali Alqarni

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Analysis of space solar array arc images based on deep learning techniques by Afaf M. Abd El-Hameed, Ahmed S. Farahat, Khaled Y. Youssef, M. Elfarran, I. M. Selim

“…The presented study aims to investigate discharging and arc spectra on solar cell surfaces through the analysis of arc images. Leveraging advanced Deep Learning (DL) methodologies, including Convolutional Neural Networks (CNN) and Transfer Learning, a robust predictive model has been developed to analyze arc behavior and identify defective cells based on image data. …”
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Dynamic Tuning and Multi-Task Learning-Based Model for Multimodal Sentiment Analysis by Yi Liang, Turdi Tohti, Wenpeng Hu, Bo Kong, Dongfang Han, Tianwei Yan, Askar Hamdulla

“…Multimodal sentiment analysis aims to uncover human affective states by integrating data from multiple sensory sources. …”
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Advanced analysis of defect clusters in nuclear reactors using machine learning techniques by Shuai Ren, Xinyu Zhang, Huizhao Li, Changjun Hu, Dandan Chen

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Harnessing Machine Learning for Predictive Analysis of Crop Resistance to Extreme Weather Conditions by Pan Susovan Kumar, Shivaj Ghorpade Bipin

“…With its use in LoRaWAN, remote fields quickly collect real time weather and crop health data and a complete dataset is generated for analysis. …”
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Passive Indoor People Counting by Bluetooth Signal Deformation Analysis with Deep Learning by Giancarlo Iannizzotto, Lucia Lo Bello, Andrea Nucita

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Holistic Analysis of Differentiated Learning in Pancasila Education at Sekolah Penggerak in Padang City by Fadlihi Asmi, Maria Montessori, Al Rafni, Fatmariza Fatmariza

“…The Informants in this study consisted of 30 individuals selected through purposive sampling. Data collection techniques included interviews, observations, and document analysis. …”
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Machine learning analysis of sex and menopausal differences in the gut microbiome in the HELIUS study by Esther M. C. Vriend, Henrike Galenkamp, Hilde Herrema, Max Nieuwdorp, Bert-Jan H. van den Born, Barbara J. H. Verhaar

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A Review on Machine Learning-Aided Hydrothermal Liquefaction Based on Bibliometric Analysis by Lili Qian, Xu Zhang, Xianguang Ma, Peng Xue, Xingying Tang, Xiang Li, Shuang Wang

“…However, the HTL process is influenced by various complex factors such as operating conditions, feedstock properties, and reaction pathways. Machine learning (ML) methods can utilize existing HTL data to develop accurate models for predicting product yields and properties, which can be used to optimize HTL operation conditions. …”
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ANALYSIS OF THE FACTORS INFLUENCING THE OFFLINE LEARNING READINESS DURING THE COVID-19 PANDEMIC by Arlina Dhian Sulistyowati, Devi Permata Sari, Fitriana Noor Khayati, Ambar Winarti, Ria May Syaroh

“…A questionnaire was utilized as the research instrument and the Chi-Square test was used as the bivariate data analysis. Results: The result revealed that most respondents (73.5%) were females and the mean value of respondents' age was 20.88 years. …”
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Deep learning-assisted thermal image analysis for assessment of cementitious composite flaws by Yoonseon Cha, Hyojeong Yun, Sanghyeon Cho, Wonseok Chung

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