All Stories

  1. Facial emotion recognition based on deep transfer learning approach
  2. Machine learning-based diagnosis of breast cancer utilizing feature optimization technique
  3. A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach
  4. Chi2-MI: A hybrid feature selection based machine learning approach in diagnosis of chronic kidney disease
  5. Hospital patients’ length of stay prediction: A federated learning approach
  6. Prediction of dengue incidents in Bangladesh Using Machine Learning Approach
  7. Epidemic trend analysis of SARS‐CoV ‐2 in South Asian Association for Regional Cooperation countries using modified susceptible‐infected‐recovered predictive model
  8. Epidemic Trend Analysis of SARS-CoV-2 in SAARC Countries Using Modified SIR (M-SIR) Predictive Model
  9. Design and Implementation of a Low-Cost Automated Medicine Dispenser
  10. Network Intrusion Detection Using UNSW-NB15 Dataset: Stacking Machine Learning Based Approach
  11. Global landscape of COVID-19 vaccination progress: insight from an exploratory data analysis
  12. DeshiFoodBD: Development of a Bangladeshi Traditional Food Image Dataset and Recognition Model Using Inception V3
  13. A Deep CNN based Kaggle Contest Winning Model to Recognize Real-Time Facial Expression
  14. Artificial Intelligence Based Real-Time Attendance System Using Face Recognition
  15. Prediction of the Infectious Outbreak COVID-19 and Prevalence of Anxiety: Global Evidence
  16. MirrorME: implementation of an IoT based smart mirror through facial recognition and personalized information recommendation algorithm
  17. Analyzing the Global Impact of COVID-19 Vaccination Progress: A Result-oriented Storytelling Approach
  18. Early Outbreak Analysis of COVID-19 Epidemic: China and Global Health Perspectives
  19. VGG-SCNet: A VGG Net-Based Deep Learning Framework for Brain Tumor Detection on MRI Images
  20. MobileNet Mask: A Multi-phase Face Mask Detection Model to Prevent Person-To-Person Transmission of SARS-CoV-2
  21. Correction to: Exploring Epidemiological Behavior of Novel Coronavirus (COVID-19) Outbreak in Bangladesh
  22. Exploring Epidemiological Behavior of Novel Coronavirus (COVID-19) Outbreak in Bangladesh
  23. Early Outbreak Analysis of COVID-19 Epidemic: China and Global Health Perspectives
  24. Exploring Epidemiological Behavior of Novel Coronavirus Outbreak through the Development and Analysis of COVID-19 Daily Dataset in Bangladesh
  25. Epidemic Trend Analysis of SARS-CoV-2 in SAARC Countries Using Modified SIR (M-SIR) Predictive Model
  26. COVID Faster R-CNN: A Novel Framework to Diagnose Novel Coronavirus Disease (COVID-19) in X-Ray Images
  27. Analyzing the epidemiological outbreak of COVID‐19: A visual exploratory data analysis approach
  28. Advanced Artistic Style Transfer Using Deep Neural Network
  29. COVID faster R–CNN: A novel framework to Diagnose Novel Coronavirus Disease (COVID-19) in X-Ray images
  30. RP-DMAC: Receiver Pivotal Directional MAC with Multichannel for IoT Based WSN
  31. Effects of Machine Learning Approach in Flow-Based Anomaly Detection on Software-Defined Networking
  32. RHM: Designing a Customized Health Model for the Union of Ramjibon
  33. Design and Development of Hand Gesture Based Virtual Mouse
  34. ParkEasy: An Embedded Model to Mitigate Car Parking Problems Using IoT Technology
  35. Implementation of a Web Application to Predict Diabetes Disease: An Approach Using Machine Learning Algorithm
  36. A Comparative Usability Experience Analysis of Card Sorting and Interactive Dialogue Model Design Technique
  37. Detection of Flow Based Anomaly in OpenFlow Controller: Machine Learning Approach in Software Defined Networking
  38. Flow Based Anomaly Detection in Software Defined Networking: A Deep Learning Approach With Feature Selection Method
  39. Enhancing the security of cloud computing: Genetic algorithm and QR code approach
  40. Cognitive complexity: A model for distributing equivalent programming problems
  41. Complexity measurement: A new approach to ensure equal distribution of programming problems for evaluation