The project is based on applying Machine Learning tools and di erent analysis techniques to identify which protein features in metagenomes sampled from Human and Non-Human (other mammal species) microbiomes help them impart ...

Previous studies have demonstrated that commonly studied (vanilla) touch-based continuous authentication systems (V-TCAS) are susceptible to population attack. This paper proposes a novel Generative Adversarial Network ...

Our paper aims to build a classification-model which delineates the typical motion-related activities performed at a metro station using smart phone sensors. We focus on typical movements, such as climbing the stairs or ...

The extensive growth in the demand for network bandwidth has created new challenges for net- work operators in the last few years. Traditional optical network technology is no longer enough to handle the massive bandwidth ...

Automatic kinship verifi cation using face images involves analyzing features and computing similarities between two input images to establish kin-relationship. It has gained signi cant interest from the research community ...

The first study is based on classification of fake video detection. Filtering, vetting, and verifying digital information is an area of core interest in information science. Content present online in the format of news, ...

In the digital age, being able to type becomes an irreplaceable skill. The project focuses on creating efficient systems that allow people with disabilities below the neck or in the four limbs to type using their head ...