Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse activity profiles ...

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...

Abstract: The In-Context Learning (ICL) is to understand a new task via a few demonstrations (aka. prompt) and predict new inputs without tuning the models. While it has been widely studied in NLP, it ...

This repository contains the final project of my Data Science course. The project involved developing a machine learning model that predicts the cost of public sector projects in the UK. The focus is ...

Abstract: Bug triaging–the process of classifying and assigning software issues to appropriate developers–is a critical yet challenging task in large-scale software development. Manual triaging is ...