2 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.IV2023
Unleashing Modified Deep Learning Models in Efficient COVID19 Detection
Md Aminul Islam, Shabbir Ahmed Shuvo, Mohammad Abu Tareq Rony +2
The COVID19 pandemic, a unique and devastating respiratory disease outbreak, has affected global populations as the disease spreads rapidly. Recent Deep Learning breakthroughs may…
eess.SP2023★ 2 cited
A Multi Constrained Transformer-BiLSTM Guided Network for Automated Sleep Stage Classification from Single-Channel EEG
Farhan Sadik, Md Tanvir Raihan, Rifat Bin Rashid +4
Sleep stage classification from electroencephalogram (EEG) is significant for the rapid evaluation of sleeping patterns and quality. A novel deep learning architecture, ``DenseRTSl…