5 citations · 10 across the 4 of their papers we have counts for
4 papers
SHERLOCK: A Deep Learning Approach To Detect Software Vulnerabilities
Saadh Jawwadh, Guhanathan Poravi
The increasing reliance on software in various applications has made the problem of software vulnerability detection more critical. Software vulnerabilities can lead to security br…
Exploration of the possibility of infusing Social Media Trends into generating NFT Recommendations
Dinuka Ravijaya Piyadigama, Guhanathan Poravi
Recommendations Systems have been identified to be one of the integral elements of driving sales in e-commerce sites. The utilization of opinion mining data extracted from trends h…
A Review on Pushing the Limits of Baseline Recommendation Systems with the integration of Opinion Mining & Information Retrieval Techniques
Dinuka Ravijaya Piyadigama, Guhanathan Poravi
Recommendations Systems allow users to identify trending items among a community while being timely and relevant to the user's expectations. When the purpose of various Recommendat…
An Analysis of the Features Considerable for NFT Recommendations
Dinuka Piyadigama, Guhanathan Poravi
This research explores the methods that NFTs can be recommended to people who interact with NFT-marketplaces to explore NFTs of preference and similarity to what they have been sea…