All Stories

  1. Rural and urban differences in the prevalence and determinants of Type-2 diabetes in Bangladesh
  2. Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey
  3. QUALITY OF BLENDED LEARNING COURSES: STUDENTS’ PERSPECTIVE
  4. Adaptive Blind Color Image Watermarking Approach using BRISK Features Based on Contour Transform and Convolutional Neural Network
  5. Effective Class-Imbalance Learning Based on SMOTE and Convolutional Neural Networks
  6. Hybrid Deep Learning Approach for Accurate Tumor Detection in Medical Imaging Data
  7. Identification of Clinical Features Associated with Mortality in COVID-19 Patients
  8. UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detection
  9. Ocsvm-Cnn: Malicious Script Detection Using One-Class Support Vector Machine Combined with Convolutional Neural Network
  10. Breast Cancer Dataset, Classification and Detection Using Deep Learning
  11. Novel COVID-19 Based Optimization Algorithm (C-19BOA) for Performance Improvement of Power Systems
  12. Exploring Online Activities to Predict the Final Grade of Student
  13. RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance
  14. Application of machine learning based algorithm for prediction of malnutrition among women in Bangladesh
  15. A Modified Ant Lion Optimization Method and Its Application for Instance Reduction Problem in Balanced and Imbalanced Data
  16. CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering
  17. Mud Ring Algorithm: A New Meta-Heuristic Optimization Algorithm for Solving Mathematical and Engineering Challenges
  18. Single-Point Crossover and Jellyfish Optimization for Handling Imbalanced Data Classification Problem
  19. A review of uncertainty quantification in deep learning: Techniques, applications and challenges
  20. Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review
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  22. Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data
  23. Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients
  24. Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
  25. Epileptic Seizures Detection Using Deep Learning Techniques: A Review
  26. Identification of clinical features associated with mortality in COVID-19 patients
  27. Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)
  28. An Improved Hybrid Approach for Handling Class Imbalance Problem
  29. Analysis of Driver Performance Using Hybrid of Weighted Ensemble Learning Technique and Evolutionary Algorithms
  30. EAOA: An Enhanced Archimedes Optimization Algorithm for Feature Selection in Classification
  31. Risk factors prediction, clinical outcomes, and mortality in COVID‐19 patients
  32. Regression analysis of student academic performance using deep learning
  33. Risk Factors Prediction, Clinical Outcomes, and Mortality of COVID-19 Patients
  34. Mining Smart Learning Analytics Data Using Ensemble Classifiers
  35. Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach
  36. Exploring Student Academic Performance Using Data Mining Tools
  37. Physical Fatigue Detection Using Entropy Analysis of Heart Rate Signals
  38. Analyzing Student Performance in Programming Education Using Classification Techniques
  39. How mobile health affects primary healthcare? Questionnaire design and attitude assessment
  40. A hybrid optimization framework for road traffic accident data
  41. IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment
  42. Classification of Road Traffic Accident Data Using Machine Learning Algorithms
  43. Prediction Model on Student Performance based on Internal Assessment using Deep Learning
  44. Performance Improvement of Decision Trees for Diagnosis of Coronary Artery Disease Using Multi Filtering Approach
  45. Performance Evaluation of Various Data Mining Algorithms on Road Traffic Accident Dataset
  46. Identifying Beneficial Sessions in an e-learning System Using Machine Learning Techniques
  47. Mining Moodle Data to Detect the Inactive and Low-performance Students during the Moodle Course
  48. Data Mining Usage and Applications in Health Services
  49. Classification, Clustering and Association Rule Mining in Educational Datasets Using Data Mining Tools: A Case Study
  50. Educational Data Mining and Analysis of Students’ Academic Performance Using WEKA
  51. The first step towards named entity recognition in mising language
  52. Educational Data Mining on Performance of Under Graduate Students of Dibrugarh University using R