Unveiling insights from unstructured wealth: a comparative analysis of clustering techniques on blockchain cryptocurrency data by Ramzi A. Haraty, Salma Sobeh

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Unraveling trends in schistosomiasis: deep learning insights into national control programs in China by Qing Su, Cici Xi Chen Bauer, Robert Bergquist, Zhiguo Cao, Fenghua Gao, Zhijie Zhang, Yi Hu

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Learning the therapeutic targets of acute myeloid leukemia through multiscale human interactome network and community analysis by Suruthy Sivanathan, Ting Hu

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A monitoring method of semiconductor manufacturing processes using Internet of Things–based big data analysis by Seok-Woo Jang, Gye-Young Kim

“…This article proposes an intelligent monitoring system for semiconductor manufacturing equipment, which determines spec-in or spec-out for a wafer in process, using Internet of Things–based big data analysis. The proposed system consists of three phases: initialization, learning, and prediction in real time. …”
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Holy Quran Kurdish Sorani translation dataset for language modellingMendeley Data by Muhammad Bamoki, Shakhawan Hares Wady, Soran Badawi

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Automated Classification Model for Elementary Mathematics Diagnostic Assessment Data Based on TF-IDF and XGBoost by Seonghyun Park, Seungmin Oh, Woncheol Park

“…This study highlights the automation and scalability of educational data analysis, suggesting potential applications across various subjects and grade levels.…”
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Detection of Victimization Patterns and Risk of Gender Violence Through Machine Learning Algorithms by Edna Rocio Bernal-Monroy, Erika Dajanna Castañeda-Monroy, Rafael Ricardo Rentería-Ramos, Sixto Enrique Campaña-Bastidas, Jessica Barrera, Tania Maribel Palacios-Yampuezan, Olga Lucía González Gustin, Carlos Fernando Tobar-Torres, Zeneida Rocio Ceballos-Villada

“…This paper explores the application of machine learning techniques and statistical analysis to identify the patterns of victimization and the risk of gender-based violence in San Andrés de Tumaco, Nariño, Colombia. …”
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Unveiling the mechanisms and promising molecular targets of curcumin in pancreatic cancer through multi-dimensional data by HongMing Xie, JieBin Liang, HongBiao He, Zewei Zhuo, JiaXuan Li

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Data-Driven Computational Methods in Fuel Combustion: A Review of Applications by Jacek Lukasz Wilk-Jakubowski, Lukasz Pawlik, Damian Frej, Grzegorz Wilk-Jakubowski

“…This review article provides a comprehensive analysis of the recent advancements in combustion science and engineering, focusing on the application of machine learning and genetic algorithms from 2015 to 2024. …”
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A Framework for Efficient N-Way Interaction Testing in Case/Control Studies With Categorical Data by Aristos Aristodimou, Athos Antoniades, Efthimios Dardiotis, Eleni Loizidou, George Spyrou, Christina Votsi, Christodoulou Kyproula, Marios Pantzaris, Nikolaos Grigoriadis, Georgios Hadjigeorgiou, Theodoros Kyriakides, Constantinos Pattichi

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Analysis and evaluation of healthcare delivery to patients with coronary artery disease using PC-based medical data by A. M. Nazarov, S. N. Tolpygina, I. P. Bolodurina

“…It is rational to consider assessing deaths, hospital and ICU length of stay, ambulance calls, emergency hospitalizations, angina class and HF stage changes after MI as an algorithm for machine learning and computer analysis of the treatment results in patients with CAD.…”
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Biomarkers of Eating Disorders Using Support Vector Machine Analysis of Structural Neuroimaging Data: Preliminary Results by Antonio Cerasa, Isabella Castiglioni, Christian Salvatore, Angela Funaro, Iolanda Martino, Stefania Alfano, Giulia Donzuso, Paolo Perrotta, Maria Cecilia Gioia, Maria Carla Gilardi, Aldo Quattrone

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Self-supervised learning reduces label noise in sharp wave ripple classification by Saber Graf, Pierre Meyrand, Cyril Herry, Tiaza Bem, Feng-Sheng Tsai

“…Abstract In the field of electrophysiological signal analysis, the classification of time-series datasets is essential. …”
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Application of Machine Learning for Academic Outcome Prediction: A Methodological Comparative Study by Md. Wira Putra Dananjaya, Putu Gita Pujayanti

“…This research conducts a methodological comparative analysis of five machine learning models Simple Linear Regression, Multiple Linear Regression (MLR), Decision Tree, Random Forest, and Artificial Neural Network (ANN) to determine the most accurate predictive approach using a comprehensive dataset encompassing academic, behavioral, and psychosocial factors. …”
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Multidimensional bioinformatics analysis of chondrosarcoma subtypes and TGF-β signaling networks using big data approaches by Shengke Li, Junteng Chen, Fuping He, Maosheng Wang, Jun Liu, Hui Xie

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Optimising the secondary use of primary care prescribing data to improve quality of care: a qualitative analysis by Robert A Verheij, Niek Klazinga, Erica Barbazza, Lotte Ramerman, Dionne Kringos

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Development and Validation of Activity Based Learning Scale among Teachers by Ritu Samaddar, Deb Prasad Sikdar

“…Secondly The data analysis process included 306 teachers' responses in a second data set for Cronbach alpha. …”
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A Systematic Review on Reinforcement Learning-Based Robotics Within the Last Decade by Md. Al-Masrur Khan, Md Rashed Jaowad Khan, Abul Tooshil, Niloy Sikder, M. A. Parvez Mahmud, Abbas Z. Kouzani, Abdullah-Al Nahid

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Controlled Text Generation of Lung Cancer Descriptions for Small Sample Data by Xiaochao Dang, Zhengzhang Zhao, Fenfang Li

“…The utilization of natural language processing methodologies for the analysis of lung cancer data can facilitate the detection, diagnosis and treatment of this disease. …”
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Assessing Model Trade-Offs in Agricultural Remote Sensing: A Review of Machine Learning and Deep Learning Approaches Using Almond Crop Mapping by Mashoukur Rahaman, Jane Southworth, Yixin Wen, David Keellings

“…This study presents a comprehensive review and comparative analysis of traditional machine learning (ML) and deep learning (DL) models for land cover classification in agricultural remote sensing. …”
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