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challa karthik's Projects

cite icon cite

Implementation for our paper "Conditional Image-Text Embedding Networks"

droidplugin icon droidplugin

A plugin framework on android,Run any third-party apk without installation, modification or repackage

flink-couchbase-data-starter icon flink-couchbase-data-starter

A Flink job that reads a Json file (either one-time or continous poll) as its source and dumps it to couchbase as a sink using the asynchronous Couchbase SDK.

github-guide icon github-guide

This guide was created as a complementary to the Complete Web Developer in 2018 course.

image-encryption-using-lsb-steagnography-an-image-processing-project icon image-encryption-using-lsb-steagnography-an-image-processing-project

Steganography is the technique of encrypting data in a data carrier (an image, in this case) in such a manner that it is impossible for an outsider to identify that a message has been encrypted into the image. The data carrier may also be an audio file or a text file, however, an image file has been considered for the following. This technique is different from other data hiding methods like watermarking, in the way that it is far subtler. The watermark’s presence is often broadcasted entirely over the image, which prevents any communication/message to be secretive or discreet. Steganographic techniques are used to hide a large amount of data or files secretly into some innocuous looking digital medium such as images. In this paper, I am providing an up-to-date review and analysis of this image encryption using steganography technique.

impact-prediction icon impact-prediction

Predict author h-index and paper citation counts on the dataset underlying Semanic Scholar

improved-traveling-salesman-problem-using-ant-colony-optimization icon improved-traveling-salesman-problem-using-ant-colony-optimization

It is fully dedicated to ant colony algorithms and surveys several applications of Ant Colony Optimization in several fields, such as scheduling, machine learning and bio-informatics. The solution for this problem is constructed in two phases, each of which solved by a different type of ants. One ant colony is inhabited by flow ants and the other colony by reliability ants. The number of flow ants is the same as the number of demand nodes and, although they all start constructing their solution from the source node, each ant is assigned to reach just one specific demand node.

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

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