Non‐alcoholic fatty liver disease (NAFLD) affects roughly one quarter of the world’s population and is tightly associated with obesity and metabolic syndrome; despite its high prevalence, no fully effective pharmacotherapies ...

This thesis describes the compilation, characterization, and prediction of hemolytic peptides, which are responsible for lysing red blood cells. We present Hemolytik2, a comprehensive repository that significantly updates ...

Several computational tools have been developed to predict the anticancer nature of peptides, including AntiCP and AntiCP2. While these methods have been widely adopted by the scientific community, they are not suitable ...

Traditional Static Timing Analysis (STA) tools, commonly used in digital circuit design, usually assume that variations in low-threshold voltage (LVT) and high-threshold voltage (HVT) transistors are fully correlated. This ...

TumorHoPe2 is a comprehensive bioinformatics resource focused on tumor homing peptides (THPs), designed to support cancer research and targeted therapy development. Leveraging the base of a previous platform created in ...

This project focuses on developing a robust Named Entity Recognition (NER) system tailored for recipe ingredient phrases, a critical task in computational gastronomy. The proposed ap- proach employs transformer-based models ...

Over the course of the semester we worked on VertexVQA4k, a comprehensive multimodal dataset designed for secondary-level geometry education, drawing from Indian curricula. The dataset, containing approximately 4,000 ...

A large amount of public data is being generated, but the lack of standard formats and field names makes it hard to combine and use data efficiently. This lack of standardization limits the ability to analyze and apply ...

The correct prediction of conformational B-cell epitopes is absolutely crucial to the rational design of subunit vaccines and antibody-based therapies. Contrary to the nature of linear epitopes, conformational epitopes are ...

This thesis investigates how the inherent geometric structure of road scenes can be effectively leveraged to solve two critical problems in visual traffic monitoring systems: sensor calibration and vehicle speed estimation. ...