Integrating Learning Analytics and Collaborative Learning for Improving Student’s Academic Performance by Adnan Rafique, Muhammad Salman Khan, Muhammad Hasan Jamal, Mamoona Tasadduq, Furqan Rustam, Ernesto Lee, Patrick Bernard Washington, Imran Ashraf

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An EWS-LSTM-Based Deep Learning Early Warning System for Industrial Machine Fault Prediction by Fabio Cassano, Anna Maria Crespino, Mariangela Lazoi, Giorgia Specchia, Alessandra Spennato

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A novel framework for seasonal affective disorder detection: Comprehensive machine learning analysis using multimodal social media data and SMOTE by Md. Shamshuzzoha, Tazkia Tasnim Bahar Audry, Md. Jahangir Alam, Zaheed Ahmed Bhuiyan, Md Motaharul Islam, Mohammad Mehedi Hassan

“…Additionally, we optimize computational efficiency to ensure real-time scalability for large-scale social media data processing. This research advances SAD detection by integrating robust dataset curation, class imbalance mitigation, and machine learning optimization, paving the way for more effective mental health monitoring through social media analytics.…”
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Predicting Early Employability of Vietnamese Graduates: Insights from Data-Driven Analysis Through Machine Learning Methods by Long-Sheng Chen, Thao-Trang Huynh-Cam, Van-Canh Nguyen, Tzu-Chuen Lu, Dang-Khoa Le-Huynh

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Application of Machine Learning Methods for Employee Turnover Prediction Based on Open Data by A. N. Kazinets

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Exploring statistical and machine learning methods for modeling probability distribution parameters in downtime length analysis: a paper manufacturing machine case study by Vladimir Koković, Kosta Pavlović, Andjela Mijanović, Slavko Kovačević, Ivan Mačužić, Vladimir Božović

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Predicting financial default risks: A machine learning approach using smartphone data by Shinta Palupi, Gunawan, Ririn Kusdyawati, Richki Hardi, Rana Zabrina

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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. …”
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Predicting Weather Disruptions for the ICC Champions Trophy 2025 in Pakistan Using Machine Learning and Data Analytics by Syeda Faiza Nasim, Umm-e-Kulsoom, Syeda Alishba Fatima, Salka Naushad

Subjects: “…Climatic Variability in Pakistan, Data Analytics, Machine Learning, Open-Meteo Stat, Rain Prediction…”
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Analyzing Digital Political Campaigning Through Machine Learning: An Exploratory Study for the Italian Campaign for European Union Parliament Election in 2024 by Paolo Sernani, Angela Cossiri, Giovanni Di Cosimo, Emanuele Frontoni

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Predictive model for customer satisfaction analytics in E-commerce sector using machine learning and deep learning by Hoanh-Su Le, Thao-Vy Huynh Do, Minh Hoang Nguyen, Hoang-Anh Tran, Thanh-Thuy Thi Pham, Nhung Thi Nguyen, Van-Ho Nguyen

“…Subsequently, machine learning algorithms like XGBoost predict customer satisfaction by integrating sentiment analysis with e-commerce data such as product prices. …”
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Evaluating the Effectiveness of Dimensionality Reduction on Machine Learning Algorithms in Time Series Forecasting by Rida Zaheer, Muhammad Kashif Hanif, Muhammad Umer Sarwar, Ramzan Talib

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Analysis of Risk Bus Driver Characteristics and Research on Risk Level Evaluation Methods for Bus Drivers by Tongqiang Ding, Huijuan Yin, Zhiqiang Li, Xinyu He, Lili Zheng, Jianfeng Xi

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Applications of Entropy in Data Analysis and Machine Learning: A Review by Salomé A. Sepúlveda-Fontaine, José M. Amigó

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Analysis of Machine Learning Performance in Spatial Interpolation of Rainfall Data by Alexandre E. L. Nobrega, Itamir M. Barroca Filho

“…The accuracy of the models was evaluated using the coefficient of determination, root mean square error, and concordance index, to confirm the effectiveness of these methodologies for maximum daily annual precipitation data. After testing different models for data spatialization and conducting a thorough statistical analysis, we conclude that machine learning models outperformed the Inverse Distance Weighting method, yielding greater variability in accumulated Annual Maximum Daily Precipitation values and improved overall results.…”
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Exploratory Data Analysis of the Monkeypox Virus Using Machine Learning by Kiran Dhanaji Kale, Pranav More, Prabhdeep Singh

“…The paper proposes the exploratory data analysis (EDA) of Monkeypox disease using machine learning approaches. …”
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Machine learning of time series data using persistent homology by Takashi Ichinomiya

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Predicting Online Shopping Behavior: Using Machine Learning and Google Analytics to Classify User Engagement by Dimitris C. Gkikas, Prokopis K. Theodoridis

“…This study utilizes Google Analytics data insights and predictive statistics to analyze these metrics and apply classification models to enhance digital marketing strategies. …”
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AI and Data Analytics in the Dairy Farms: A Scoping Review by Osvaldo Palma, Lluis M. Plà-Aragonés, Alejandro Mac Cawley, Víctor M. Albornoz

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Predicting at-risk students in the early stage of a blended learning course via machine learning using limited data by Zahra Azizah, Tomoya Ohyama, Xiumin Zhao, Yuichi Ohkawa, Takashi Mitsuishi

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