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5. The development and validation of the Student Self-feedback Behavior Scale.

6. Can Level-2 Firth’s Bias-reduced logistic regression be considered a robust approach for predicting landslide susceptibility?

7. Análisis y predicción del desempeño docente por medio de encuestas estudiantiles. Búsqueda de relaciones desde la minería de datos.

8. Machine Learning-Based Scrap Steel Price Forecasting for the Northeast Chinese Market.

9. Music statistics: uncertain logistic regression models with applications in analyzing music.

10. Predicting fungal infection sensitivity of sepals in harvested tomatoes using imaging spectroscopy and partial least squares discriminant analysis.

11. Numerical properties of solutions of LASSO regression.

12. Cubic spline estimation for non parametric uncertain differential equation.

13. Forecasts of thermal coal prices through Gaussian process regressions.

14. Enhancing Indoor Localization Accuracy through Multiple Access Point Deployment.

15. Identifying the environmental drivers of corridors and predicting connectivity between seasonal ranges in multiple populations of Alpine ibex (Capra ibex) as tools for conserving migration.

16. Prediction and model evaluation for space–time data.

17. Comparing simulated demand flexibility against actual performance in commercial office buildings

18. The development and validation of the Student Self-feedback Behavior Scale

19. Machine Learning-Based Scrap Steel Price Forecasting for the Northeast Chinese Market

20. The illusion of success: Test set disproportion causes inflated accuracy in remote sensing mapping research

21. An analysis on classification models for customer churn prediction

22. Modelling soil prokaryotic traits across environments with the trait sequence database ampliconTraits and the R package MicEnvMod

26. A compartmental model for smoking dynamics in Italy: a pipeline for inference, validation, and forecasting under hypothetical scenarios

27. Heart Sound Processing for Early Diagnostic of Heart Abnormalities using Support Vector Machine

28. A Deep Learning-based U-Net 3+ Technique for Segmentation Blood Cell.

29. Random forest based quantile-oriented sensitivity analysis indices estimation.

30. A New Comparative Approach Based on Features of Subcomponents and Machine Learning Algorithms to Detect and Classify Power Quality Disturbances.

31. Greedy Weighted Stacking of Machine Learning Models for Optimizing Dam Deformation Prediction.

32. Optimal Latent Variables Number for the Reconstruction of Time Series with PLSR

34. Cricket Forecast: Unraveling Future Matches’ Outcomes

35. MetroPT Predictive Maintenance Using Logistic Regression and Random Forest with Isolation Forest Preprocessing

36. A Machine Learning Approach for Risk Prediction of Cardiovascular Disease

38. Android Malware Detection Using Artificial Intelligence

39. Evaluation of four machine learning methods in predicting orthodontic extraction decision from clinical examination data and analysis of feature contribution

40. Prediction of one- and three-months yoga practices effect on chronic venous insufficiency based on machine learning classifiers

41. Convolutional Neural Network untuk Klasifikasi Batik Tenun Ikat Bandar Berdasarkan Fitur Warna dan Tekstur

42. Assessing risk factors for malnutrition among women in Bangladesh and forecasting malnutrition using machine learning approaches

45. Yapay Sinir Ağları ve Derin Öğrenme Modeli Kullanılarak USD/TRY Döviz Kurunun Tahmin Edilmesi.

46. Using ARIMA Model to Forecast Production of kharif Sweet Potato in Odisha.

47. Implementing Time Series Cross Validation to Evaluate the Forecasting Model Performance.

48. Analysis of EEG signals with the use of wavelet transform for accurate classification of Alzheimer Disease, Frontotemporal Dementia and healthy subjects using Machine Learning Models.

49. Joint species distribution modeling with competition for space.

50. Integrated machine learning methods with oversampling technique for regional suitability prediction of waste-to-energy incineration projects.