All Stories

  1. A Lightweight Hybrid CNN-Fuzzy Logic Approach for Real Time On-Device Document Classification
  2. Tackling E-Waste Management Using Decentralized Marketplace Leveraging Ethereum Blockchain
  3. Deep CNN with late fusion for real time multimodal emotion recognition
  4. Mining of heterogeneous time series information for predicting chlorophyll accumulation in oceans
  5. Real Time Bimodal Emotion Recognition using Hybridized Deep Learning Techniques
  6. Application of Hybrid Approach towards Multi Aspect Classification and Analysis of Malware
  7. Automated Detection and Diagnosis of Skin-Lesion using Transfer Learning based YOLOv7 Approach
  8. A customizable framework for multimodal emotion recognition using ensemble of deep neural network models
  9. FastRWDnet: implementation of novel real-time deep video denoising utilizing optimized FastDVDnet
  10. A Novel Computer Vision Model for Recognition and Evaluation of Mathematical Equations using Deep Learning Technique
  11. Message Encryption in Images Using LSB Steganography Sequence to Sequence Architecture
  12. Virtual Gaming Using Gesture Recognition Model
  13. Predicting Software Defect Severity Level using Sentence Embedding and Ensemble Learning
  14. YOLO as a Region Proposal Network for Diagnosing Breast Cancer
  15. BFCNet: a CNN for diagnosis of ductal carcinoma in breast from cytology images
  16. Ontology-Based Modelling of IoT Design Patterns
  17. Community detection in dynamic networks: a comprehensive and comparative review using external and internal criteria
  18. Deep-Learning Approach with DeepXplore for Software Defect Severity Level Prediction
  19. Automated Diagnosis of Breast Cancer with RoI Detection Using YOLO and Heuristics
  20. Smart Rent Portal using Recommendation System Visualized by Augmented Reality
  21. Mining Patterns in Open Source Software using Software Metrics and Neural Network Models
  22. An Analytical Comparison of Mobile Application Development using Agile Methodologies
  23. Applying Neural Network to Determine Patterns in Open Source Software
  24. Neural Network Based Patterns Detection in Object-Oriented Program
  25. Method Level Refactoring Prediction on Five Open Source Java Projects using Machine Learning Techniques
  26. Applying Reverse Engineering Techniques to Analyze Design Patterns in Source Code
  27. Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level
  28. Empirical assessment of machine learning models for agile software development effort estimation using story points
  29. Empirical Assessment of Machine Learning Models for Effort Estimation of Web-based Applications
  30. Effort estimation of web-based applications using machine learning techniques
  31. Early stage software effort estimation using random forest technique based on use case points
  32. Optimised class point approach for software effort estimation using adaptive neuro-fuzzy inference system model
  33. Software project risk assessment based on cost drivers and Neuro-Fuzzy technique
  34. Neural Network Models for Agile Software Effort Estimation based on Story Points
  35. Empirical Validation of Neural Network Models for Agile Software Effort Estimation based on Story Points
  36. Class point approach for software effort estimation using stochastic gradient boosting technique
  37. Class point approach for software effort estimation using various support vector regression kernel methods
  38. Fuzzy-class point approach for software effort estimation using various adaptive regression methods
  39. A Soft Computing Platform for Minimizing The Bullwhip Effect
  40. Class point approach for software effort estimation using soft computing techniques
  41. Slicing of Programs Dynamically under Distributed Environment