Description of survival data extended to the case of competing risks: a teaching approach based on frequency tables by Davide Paolo Bernasconi, Laura Antolini

“…<p>Survival analysis is a powerful statistical tool to study failure-time data. …”
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Design of a Prediction Model to Predict Students’ Performance Using Educational Data Mining and Machine Learning by Jayasree R, Sheela Selvakumari

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A Novel High-Fidelity Reversible Data Hiding Method Based on Adaptive Multi-pass Embedding by Xiaoxi Kong, Wenguang He, Zhanchuan Cai

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Efficient Privacy-Preserving Range Query With Leakage Suppressed for Encrypted Data in Cloud-Based Internet of Things by Sultan Basudan, Abdulrahman Alamer

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Data-driven modelling method and application based on energy multi-layer network structure of energy hub by Qingsen Cai, Luochang Wu, Chunyang Gao

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Application of data twinning based on deep time series model in smart city traffic flow prediction by Li Gao

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A Data Imputation Strategy to Enhance Online Game Churn Prediction, Considering Non-Login Periods by JaeHong Lee, Pavinee Rerkjirattikal, SangGyu Nam

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Enhanced Conditional GAN for High-Quality Synthetic Tabular Data Generation in Mobile-Based Cardiovascular Healthcare by Malak Alqulaity, Po Yang

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Novel metrics and LSH algorithms for unsupervised, real-time anomaly detection in multi-aspect data streams by Samira Khodabandehlou, Alireza Hashemi Golpayegani

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A Data-Driven Framework for Accelerated Modeling of Stacking Fault Energy from Density of States Spectra by Md Tohidul Islam, Scott R. Broderick

“…Using principal component analysis (PCA) and uniform manifold approximation and projection (UMAP), we identified key features from high-resolution vector representation of DOS data and explored their correlation with SFE. …”
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Improving the Performance Prediction of Process Simulation Models for TBM Tunneling Using Real-Time Project Data by Annika Jodehl, Judith Berns, Markus Thewes, Markus König

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Assessing the Fidelity and Utility of Water Systems Data Using Generative Adversarial Networks: A Technical Review by Md Nazmul Kabir Sikder, Yingjie Wang, Feras A. Batarseh

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Graph attention network-based multi-source data fusion for atmospheric CO2 concentrations estimation by De Bao, Zheng Ma, Liheng Zhong, Jining Yan, Yi Li, Leigang Sun

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Automatic classification of Chinese programming MOOC reviews using fine-tuned BERTs and GPT-augmented data by Xieling Chen, Haoran Xie, Di Zou, Lingling Xu, Fu Lee Wang

“…In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners’ learning. …”
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Effect of Technology Acceptance on Student Commitment in Turkish Higher Education by Yunus Doğan, Coşkun Akça

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Lithological classification using SDGSAT-1 TIS data and three-dimensional spectral feature space model by Qunjia Zhang, Zhenhua Guo, Lei Liu, Jiacheng Mei, Le Wang

“…Based on radiative transfer and statistical analysis, the Mafic-ultramafic rock Index (MI) and Quartz-bearing rock Index (QI) were deduced and computed using the scatter plots of various bands. …”
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An Empirical Study on Data Augmentation for Pixelwise Satellite Image Time-Series Classification and Cross-Year Adaptation by Yuan Yuan, Lei Lin, Qi Xin, Zeng-Guang Zhou, Qingshan Liu

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A new machine learning approach based on spatial fuzzy data correlation for recognizing sports activities by Xu Pengru, Zhou Junhui, Kausar Nasreen, Lin Chunlei, Lu Qianqian, Ghaderpour Ebrahim, Pamucar Dragan, Zadeh Ardashir M.

“…Therefore, the data analysis requires additional effort to reduce the overall problems in sports rehabilitation. …”
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Exploitation of OCO-3 Satellite Data to Analyse Carbon Dioxide Emissions from the Mt. Etna Volcano by Vito Romaniello, Gaetana Ganci

“…Etna volcano. While OCO-3 data are well-suited for gas analysis on a regional spatial scale, they have not yet been widely utilised for studying volcanic carbon dioxide emissions. …”
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The performance of the LSTM-based code generated by Large Language Models (LLMs) in forecasting time series data by Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin

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