activity
20192021
most citedClassification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation

241 citations · 253 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2021

Measuring Novelty in Autonomous Vehicles Motion Using Local Outlier Factor Algorithm

Hassan Alsawadi, Muhammad Bilal

Under unexpected conditions or scenarios, autonomous vehicles (AV) are more likely to follow abnormal unplanned actions, due to the limited set of rules or amount of experience the…

cs.CV2021★ 8 cited

Use of Transfer Learning and Wavelet Transform for Breast Cancer Detection

Ahmed Rasheed, Muhammad Shahzad Younis, Junaid Qadir +1

Breast cancer is one of the most common cause of deaths among women. Mammography is a widely used imaging modality that can be used for cancer detection in its early stages. Deep l…

eess.SP2020★ 241 cited

Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation

Amin Ullah, Syed M. Anwar, Muhammad Bilal +1

The electrocardiogram (ECG) is one of the most extensively employed signals used in the diagnosis and prediction of cardiovascular diseases (CVDs). The ECG signals can capture the…

eess.IV2020★ 2 cited

Classification of Chest Diseases using Wavelet Transforms and Transfer Learning

Ahmed Rasheed, Muhammad Shahzad Younis, Muhammad Bilal +1

Chest X-ray scan is a most often used modality by radiologists to diagnose many chest related diseases in their initial stages. The proposed system aids the radiologists in making…

cs.CV2019★ 2 cited

Crowd Density Estimation using Novel Feature Descriptor

Adwan Alownie Alanazi, Muhammad Bilal

Crowd density estimation is an important task for crowd monitoring. Many efforts have been done to automate the process of estimating crowd density from images and videos. Despite…