Sai Lalith Prasad T
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View article: Deep Learning Approaches For Traffic Sign Detection
Deep Learning Approaches For Traffic Sign Detection Open
Detecting traffic signs is important for many purposes, like ensuring safe driving and identifying illegal driving behavior. This study assesses specialized tools (e.g., Resnet, Inception, Mobile-net, and Dark net) and sophisticated detect…
View article: Anomaly Detection in Network Traffic Using Machine Learning Techniques
Anomaly Detection in Network Traffic Using Machine Learning Techniques Open
It has been nothing less than exponential growth in the last two decades, and with this growing Internet has come unprecedented connectivity, significantly increasing the number of cyberattacks. Zeroday attacks have always challenged tradi…
View article: Improving Bankruptcy Prediction Using Machine Learning
Improving Bankruptcy Prediction Using Machine Learning Open
It is very crucial to predict bankruptcy for the decision-making process of creditors, investors, businesses, and policymakers. While it will help businesses and financial institutions in making sound judgments by accurately projecting ban…
View article: Combining GANs And Fuzzy Logic For Real-Time Image Enhancement In Autonomous Vehicles
Combining GANs And Fuzzy Logic For Real-Time Image Enhancement In Autonomous Vehicles Open
In this study, we present a novel approach for real-time image enhancement in autonomous vehicles by integrating Generative Adversarial Networks (GANs) with Fuzzy Logic. The increasing reliance on visual data for autonomous navigation nece…
View article: Enhanced Medical Image Classification Using LSA and PCA in CNN
Enhanced Medical Image Classification Using LSA and PCA in CNN Open
We are presently living in the era where in medical field, the use of technology plays a major role in disease diagnosis and in treatment. In recent years Medical Image Processing play a significant role in modern diagnostics, where precis…
View article: Incremental Density-Based Clustering on Multicore Processors
Incremental Density-Based Clustering on Multicore Processors Open
The density-based clustering algorithm is a fundamental data clustering technique with many real-world applications. However, when the database is frequently changed, how to effectively update clustering results rather than reclustering fr…
View article: Inter-stock Trend Prediction of Stock Market using Outlier Mining and Association Rule Mining
Inter-stock Trend Prediction of Stock Market using Outlier Mining and Association Rule Mining Open
With the advancement of storage techniques and Digitization of work in every field, the amount of stored data is tremendously increasing.Influence in Information Technology has caused a sizeable change in every sector of the digitized worl…