The official implementation for "UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection". The detection of ligand binding sites for proteins is ...

Deep learning techniques offer promising solutions for such detection due to their superior complex pattern recognition and anomaly detection capabilities in large datasets. This paper proposes an ...

This study proposes a deep learning-based framework for anomaly detection and early risk identification during digital disaster response scenarios, leveraging data from hospitals, emergency services, ...

Cyberbullying has become a serious issue in the digital world. As cyberbullying occurs in an online environment it can reach victims at any location or time unlike traditional bullying that occurs ...

I spent two days at Notion and saw an industry in upheaval. I also shipped some actual code.

Katy Croff Bell, who has been an ocean researcher for 25 years, is working on a cutting-edge tool that will make the deep sea more accessible to scientists worldwide.

This deep learning-based approach significantly reduces the confusion between PE and fatty acids observed in conventional Raman spectral analyses of microplastics, thereby demonstrating its potential ...

In this multicentre cohort study, tissue samples from patients with colorectal cancer were obtained by surgical resection and stained with haematoxylin and eosin. These samples were then digitised ...