All Stories

  1. CrossCD-Eval: a unified framework with domain-aware feature normalization for cross-domain remote sensing change detection
  2. UnTrNet: a transformer-based hyperspectral change detection using abundance maps
  3. TEWA-Net: A spatiotemporal attention-enhanced ConvLSTM architecture for remote sensing change detection
  4. HDKD: Hybrid data-efficient knowledge distillation network for medical image classification
  5. Lung Cancer Stages Classification Based on Differential Gene Expression and Deep Learning
  6. Ovarian Cancer Proteome Analysis and Biomarker Discovery Using Machine Learning
  7. Temperature Time Series Prediction Using Spatiotemporal Deep Learning Model
  8. Analysis of Bones Abnormality Detection and Segmentation
  9. Analysis of Deep Learning Models for Voice Pathology Detection
  10. Deepfake Detection Using EfficientNet and XceptionNet
  11. Security And Fire Detection System Using Deep Learning Techniques
  12. Backbones-Review: Satellite Object Detection Using Faster-RCNN
  13. Bladder Cancer Microarray Analysis and Biomarker Discovery Using Machine Learning
  14. Convolutional Autoencoder for Remote Sensing Change Detection
  15. RegionInpaint, Cutoff and RegionMix: Introducing Novel Augmentation Techniques for Enhancing the Generalization of Brain Tumor Identification
  16. High capacity video hiding based on multi-resolution stationary wavelet transform and hybrid-matrix decomposition techniqueset Transform and hybrid-matrix decomposition techniques
  17. Pixel-Wise Classification of Hyperspectral Images With 1D Convolutional SVM Networks
  18. Unsupervised hyperspectral band selection with deep autoencoder unmixing
  19. White Blood Cells Segmentation and Classification Using Swarm Optimization Algorithms and Multilayer Perceptron
  20. Review on Supervised and Unsupervised Deep Learning Techniques for Hyperspectral Images Classification
  21. Sparse Pixel Training of Convolutional Neural Networks for Land Cover Classification
  22. Hyperspectral unmixing using deep convolutional autoencoder
  23. Hyperspectral Image Classification Using Deep Learning Technique
  24. Remote Sensing Image Classification Based on Convolutional Neural Networks
  25. Application of Hyperspectral Image Unmixing for Internet of Things
  26. Analysis of Classification Methods for Gene Expression Data
  27. Comparative Analysis of Unmixing Algorithms Using Synthetic Hyperspectral Data
  28. Optimized Feed Forward Neural Network for Microscopic White Blood Cell Images Classification
  29. Reduced 3-D Deep Learning Framework for Hyperspectral Image Classification
  30. Robust palm and knuckle ROI extraction in unconstrained environment
  31. Machine Learning for Enhancement Land Cover and Crop Types Classification
  32. Comparison of CNNs for Remote Sensing Scene Classification
  33. Seasonal Multi-temporal Pixel Based Crop Types and Land Cover Classification for Satellite Images using Convolutional Neural Networks
  34. Masked SIFT with Align-Based Refinement for Contactless Palmprint Recognition
  35. Automatic White Blood Cell Counting Approach Based on Flower Pollination Optimization Multilevel Thresholoding Algorithm
  36. Deep Learning for Satellite Image Classification
  37. Improving Land-Cover and Crop-Types Classification of Sentinel-2 Satellite Images
  38. A hybrid flower pollination optimization based modified multi-scale retinex for blood cell microscopic image enhancement
  39. Performance Enhancement of Satellite Image Classification Using a Convolutional Neural Network
  40. Acceleration of super-resolution for multispectral images using self-example learning and sparse representation
  41. Adaptive Multiple Kernel Self-organizing Maps for Hyperspectral Image Classification
  42. A method for contactless palm ROI extraction
  43. Wavelet-enhanced detection of small/slow object movement in complex scenes
  44. 3D Mesh Segmentation Based on Unsupervised Clustering
  45. Parallel Implementation of Super-Resolution Based Neighbor Embedding Using GPU
  46. Rapid real-time generation of super-resolution hyperspectral images through compressive sensing and GPU
  47. An unsupervised method for face photo-sketch synthesis and recognition
  48. Fusing directional wavelet local binary pattern and moments for human action recognition
  49. A Mean Features Method for Face Photo-Sketch Synthesis and Recognition
  50. Clustering-based Image Segmentation using Automatic GrabCut
  51. Analysis of Automatic Multi-label GrabCut using NPR for natural image segmentation
  52. Super-resolution: Sparse dictionary design method using quantitative comparison
  53. Vertebrae segmentation techniques for spinal medical images
  54. Action Classification Using Weighted Directional Wavelet LBP Histograms
  55. Optimization Methods for Medical Image Super Resolution Reconstruction
  56. Parallel Super-Resolution Reconstruction Based on Neighbor Embedding Technique
  57. Automatic GrabCut for Bi-label Image Segmentation Using SOFM
  58. A Comparative Study of Different Color Space Models Using FCM-Based Automatic GrabCut for Image Segmentation
  59. Action Recognition Using Stationary Wavelet-Based Motion Images
  60. Human action recognition via multi-scale 3D stationary wavelet analysis
  61. Multi-label automatic GrabCut for image segmentation
  62. Accelerated hyperspectral image recursive hierarchical segmentation using GPUs, multicore CPUs, and hybrid CPU/GPU cluster
  63. Satellite Super Resolution Image Reconstruction Based on Parallel Support Vector Regression
  64. Evaluation of CIE-XYZ System for Face Recognition Using Kernel-PCA
  65. Color Image Segmentation Based on Different Color Space Models Using Automatic GrabCut
  66. Directional Stationary Wavelet-Based Representation for Human Action Classification
  67. Hybrid cluster of multicore CPUs and GPUs for accelerating hyperspectral image hierarchical segmentation
  68. Analysis of shift estimation techniques of super resolution applied to satellite images
  69. Kernel-PCA for face recognition in different color spaces
  70. GPU implementation for hyperspectral image analysis using Recursive Hierarchical Segmentation
  71. Evaluation of unsupervised feature extraction neural networks for face recognition
  72. Using MLP and RBF neural networks for face recognition: An insightful comparative case study