DEEP LEARNING
MATLAB PROJECTS (2019-20)
Deep Learning
| S.NO | TITLES | Download |
| DST TO DL 01 | Visual tracking using non local similarity learning | |
| DST TO DL 02 | Visual tracking using non local similarity learning | |
| DST TO DL 03 | A cascaded convolutional neural network for single image dehazing | |
| DST TO DL 04 | A cascaded convolutional neural network for single image dehazing | |
| DST TO DL 05 | An improved deep neural network for classification of plant seedling images | |
| DST TO DL 06 | Fast facial emotion recognition using convolutional neural networks and gabor filters | |
| DST TO DL 07 | Fast facial emotion recognition using convolutional neural networks and gabor filtersfast facial emotion recognition using convolutional neural networks and gabor filters | |
| DST TO DL 08 | Fingerprint image identification for crime detection | |
| DST TO DL 09 | Fingerprint image identification for crime detection | |
| DST TO DL 010 | Learning affective video features for facial expression recognition via hybrid deep learning | |
| DST TO DL 011 | The chicken’s legs size classification using image processing and deep neural network | |
| DST TO DL 012 | Joint classification and prediction cnn framework for automatic sleep stage classification | |
| DST TO DL 013 | An improved palmprint image recognition algorithm via image restoration | |
| DST TO DL 014 | Convolutional neural network based image distortion classification | |
| DST TO DL 015 | Ship detection from optical satellite images with deep learning | |
| DST TO DL 016 | Pattern generation and dimensionality reduction using cnn for image restoration | |
| DST TO DL 017 | Low-light image enhancement via a deep hybrid network | |
| DST TO DL 018 | Near-infrared image guided neural networks for color image denoising | |
| DST TO DL 019 | Hsn: hybrid segmentation network for small cell lung cancer segmentation | |
| DST TO DL 020 | Deep ensemble machine for video classification | |
| DST TO DL 021 | Medical imaging using machine learning and deep learning algorithms | |
| DST TO DL 022 | Multi-classification of brain tumor images using deep neural network | |
| DST TO DL 023 | Brain mri image classification for cancer detection using deep wavelet auto-encoder based deep neural network | |
| DST TO DL 024 | Gacm based segmentation method for lung nodule detection and classification of stages using ct images | |
| DST TO DL 025 | Convolution structure sparse coding for fusion of panchromatic and multi-spectral images | |
| DST TO DL 026 | Underwater image enhancement with a deep residual framework | |
| DST TO DL 027 | Sar image change detection based on deep denoising and cnn | |
| DST TO DL 028 | 1-d convolutional neural networks for signal processing applications | |
| DST TO DL 029 | Social network identification through image classification with cnn | |
| DST TO DL 030 | Social network identification through image classification with cnn | |
| DST TO DL 031 | Dense fuse: a fusion approach to infrared and visible images | |
| DST TO DL 032 | Dense fuse: a fusion approach to infrared and visible images | |
| DST TO DL 033 | Breast cancer classification using capsule network with preprocessed histology images | |
| DST TO DL 034 | Bangla handwritten digit recognition using an improved deep convolutional neural network architecture | |
| DST TO DL 035 | Bangla handwritten digit recognition using an improved deep convolutional neural network architecture | |
| DST TO DL 036 | Estimation of human running capacity |
INSIGHT
