activity
20152021
most citedA Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals

93 citations · 177 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2021★ 93 cited

A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals

Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar +7

Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous Blood Pressure (BP) monitoring along with many…

cs.LG2021★ 59 cited

EDITH :ECG biometrics aided by Deep learning for reliable Individual auTHentication

Nabil Ibtehaz, Muhammad E. H. Chowdhury, Amith Khandakar +5

In recent years, physiological signal based authentication has shown great promises,for its inherent robustness against forgery. Electrocardiogram (ECG) signal, being the most wide…

cs.CL2021★ 6 cited

BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla

Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad +5

In this work, we introduce BanglaBERT, a BERT-based Natural Language Understanding (NLU) model pretrained in Bangla, a widely spoken yet low-resource language in the NLP literature…

cs.IR2020★ 16 cited

COVID-19Base: A knowledgebase to explore biomedical entities related to COVID-19

Junaed Younus Khan, Md. Tawkat Islam Khondaker, Iram Tazim Hoque +4

We are presenting COVID-19Base, a knowledgebase highlighting the biomedical entities related to COVID-19 disease based on literature mining. To develop COVID-19Base, we mine the in…

cs.FL2015★ 3 cited

Periods and borders of random words

Štěpán Holub, Jeffrey Shallit

We investigate the behavior of the periods and border lengths of random words over a fixed alphabet. We show that the asymptotic probability that a random word has a given maximal…