Nature

Transformer-based deep learning for accurate detection of multiple base modifications using single molecule real-time sequencing

We had previously reported a convolutional neural network (CNN) based approach, called the holistic kinetic model (HK model 1), for detecting 5-methylcytosine (5mC) by single molecule real-time ...
Nature

Leveraging swin transformer with ensemble of deep learning model for cervical cancer screening using colposcopy images

Cervical cancer (CC) is the leading cancer, which mainly affects women worldwide. It generally occurs from abnormal cell evolution in the cervix and a vital functional structure in the uterus. The ...

Language-based AI model spots early heart disease in ECGs, reaching 94.2% accuracy

A machine-learning model based on Transformer architecture, a form of artificial intelligence originally developed for ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...