This project adopts a deep learning approach to automate the online review rating.
In this project, Super Resolution based Convolution kernel in Lab colour space and Spine Interpolation are used to enhance the contrast enhancement of both colour and gray scale images.
Implemented 5 algorithms namely Serial and Parallel K Nearest Neighbors (k-NN), Multinomial and Transform Weight Complement Naïve Bayes’, and Hierarchical Classification.
This project aims to create a tool that will generate best possible thumbnails from the input video.
Proposed system transfers medical images securely by embedding watermark using DWT and SVD technique.
Facebook network was analyzed to detect communities using Girvann- Newman, Chinese Whisper and Markov Clustering Algorithms.
The test data for the project was collected from local hospitals in Karnataka.
Here network model was constructed and both structural and flow properties of network were studied. The data was provided by a hospital chain with its own branded medicines.
looks at the analysis of the distribution of medicines over various regions, their purchase and sales and devising strategies to effectively regulate the supply of medicines keeping into consideration the social network phenomena.
