Identifying error-prone code snippets and potential vulnerabilities in the early stages of the development process allows reducing the considerable amount of time & the cost of the software project. But the process of ...

The problem of accurately predicting equity price movements is of high importance to all agents involved in modern financial markets. Price prediction is extremely difficult due to the complex interplay of spatial and ...

Player performance in international sports has become a heavily investigated field over the past few years. Although it was known to be a hard problem to solve but with the rise of Machine Learning this has become one of ...

Text classification is one of the core area of machine learning applications and it continuously improving with time. Hate speech classification in e-content became very popular over last few years and search engines, ...

Sentence similarity plays a key role in text-processing related research such as plagiarism checking and paraphrasing. So far, only conventional unsupervised sentence similarity techniques such as string-based, corpus-based, ...

Microservice based application developments are becoming more and more popular and becoming the common trend in implementing large scale applications. Unlike the traditional monolith applications, microservice applications ...

Nonlinear optimization problems are difficult to solve in many practical situations, and only a few approaches are developed in recent history. The main problem in the nonlinear optimization problem is it needs some convexity ...

Today’s world is highly dependent on financial markets. Financial markets are very dynamic, making it difficult to predict prices. If we can make good predictions, we can make financial gains without any risks. There are ...

This research is based on the Sign language. However, there is a communication problem between deaf and normal persons unless there's no translator accessible. This project tries to find out what are the situations in ...

Anomaly detection in video data has been a challenge always. After the introduction of many state-of-art designs, this still poses a challenge as those systems may fail to work in all types of environments. Even though ...