Air temperature estimation and modeling using data driven techniques based on best subset regression model in Egypt by Ahmed Elbeltagi, Dinesh Kumar Vishwakarma, Okan Mert Katipoğlu, Kallem Sushanth, Salim Heddam, Bhaskar Pratap Singh, Abhishek Shukla, Vinay Kumar Gautam, Chaitanya Baliram Pande, Saddam Hussain, Subhankar Ghosh, Hossein Dehghanisanij, Ali Salem

“…This study aims to identify the most accurate forecasting model for daily minimum (Tmin) and maximum (Tmax) temperatures in a semi-arid environment. Five machine learning models—linear regression (LR), additive regression (AR), support vector machine (SVM), random subspace (RSS), and M5 pruned (M5P)—were compared for Tmax and Tmin forecasting in Gharbia Governorate, Egypt, using data from 1979 to 2014. …”
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clusEvol: An R package for Cluster Evolution Analytics by Víctor Morales-Oñate, Bolívar Morales-Oñate

Subjects: “…Exploratory data analysis…”
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Topology Knapsack Problem for Geometry Optimization by Hsiao-Hui Li, Po-Chun Chang, Yuan-Hsun Liao

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Compositional transformations can reasonably introduce phenotype-associated values into sparse features by George I. Austin, Tal Korem

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Predictive analytics of student performance: Multi-method and code by Alla Yu. Vladova, Katsiaryna M. Borchyk

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Damage Detection and Identification on Elevator Systems Using Deep Learning Algorithms and Multibody Dynamics Models by Josef Koutsoupakis, Dimitrios Giagopoulos, Panagiotis Seventekidis, Georgios Karyofyllas, Amalia Giannakoula

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Survey of Deep Learning and Machine Learning Approaches for Major Depressive Disorder Detection Using EEG Data by Sumathi Balakrishnan, Raja Kumar Murugesan, Eng Lye Lim, Amna Faisal, Humaira Ashraf

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Online Learning as e-Learning: The Quality and Results (Critical Analysis) by A. V. Dozhdikov

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A Data-Driven Approach to Engineering Instruction: Exploring Learning Styles, Study Habits, and Machine Learning by Lauren Genith Isaza Dominguez, Antonio Robles-Gomez, Rafael Pastor-Vargas

“…Several machine learning models, including Random Forest and Voting Ensemble, were tested to predict academic performance using study behavior data. …”
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Data analysis methods in astronomic objects classification (Sloan Digital Sky Survey DR14) by V. A. Golov, D. A. Petrusevich

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Pseudo-Labeling and Time-Series Data Analysis Model for Device Status Diagnostics in Smart Agriculture by Minwoo Jung, Dae-Young Kim

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Evaluating Competency Development and Academic Outcomes: Insights from Six Semesters of Data-Driven Analysis by Enrique Solera, Ernestina Menasalvas, Mario Martín, Marta Zorrilla, Danilo Valdés-Ramírez, Genaro Zavala, Raúl Monroy

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PROACTIVE APPROACH IN TAX RISK MANAGEMENT: DATA ANALYSIS TECHNIQUES TO IDENTIFY HIGH-RISK TAXPAYERS by Funda KARAKOYUN

Subjects: “…tax risk management, data mining, machine learning, risk analysis techniques, tax audit, proactive approach.…”
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Challenges in AI-driven multi-omics data analysis for Oncology: Addressing dimensionality, sparsity, transparency and ethical considerations by Maryem Ouhmouk, Shakuntala Baichoo, Mounia Abik

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Enhancing data analysis and programming skills through structured prompt training: The impact of generative AI in engineering education by Ashish Garg, K. Nisumba Soodhani, Ramkumar Rajendran

“…Our research investigates the impact of structured prompt training on students' learning in data analysis and programming. We experimented with 157 first-year engineering students divided into three groups: a control group (internet access, no GenAI), an experimental group 1 (internet and GenAI without prompt training), and an experimental group 2 (internet and GenAI with prompt training). …”
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Retrospective analysis of COVID-19 clinical and laboratory data: Constructing a multivariable model across different comorbidities by Mahdieh Shokrollahi Barough, Mohammad Darzi, Masoud Yunesian, Danesh Amini Panah, Yekta Ghane, Sam Mottahedan, Sohrab Sakinehpour, Tahereh Kowsarirad, Zahra Hosseini-Farjam, Mohammad Reza Amirzargar, Samaneh Dehghani, Fahimeh Shahriyary, Mohammad Mahdi Kabiri, Marzieh Nojomi, Neda Saraygord-Afshari, Seyedeh Ghazal Mostofi, Zeynab Yassin, Nazanin Mojtabavi

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Intelligent Data Processing Methods for Studying the Influence of the Environment on the Morbidity of the Population in Moscow by T. V. Zolotova, A. S. Marunko

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Bridging big data in the ENIGMA consortium to combine non-equivalent cognitive measures by Eamonn Kennedy, Shashank Vadlamani, Hannah M. Lindsey, Pui-Wa Lei, Mary Jo-Pugh, Paul M. Thompson, David F. Tate, Frank G. Hillary, Emily L. Dennis, Elisabeth A. Wilde, for the ENIGMA Clinical Endpoints Working Group

“…This international secondary analysis aggregated multisite raw data for AVLTs across 53 studies totaling 10,505 individuals. …”
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A Comprehensive Analysis of Fake News Detection Models: A Systematic Literature Review and Current Challenges by Alok Mishra, Halima Sadia

“…Our study focuses on how machine learning and deep learning algorithms are used to detect fraudulent data. …”
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Exploring spatial association between residential and commercial urban spaces: A machine learning approach using taxi trajectory data by Lei Zhou, Weiye Xiao, Chen Wang, Haoran Wang

“…A novel framework is proposed to explore the spatial association between urban commercial and residential spaces via consumption travel flows in Shanghai. A social network analysis and a community detection method are employed using taxi trajectory data during the daytime to validate the framework. …”
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