activity
20172024
most citedColorectal cancer diagnosis from histology images: A comparative study

23 citations · 41 across the 10 of their papers we have counts for

collaborators

11 papers

cs.RO2022

Drones-aided Asset Maintenance in Hospitals

Muhammad Asif Khan, Hamid Menouar, Ridha Hamila

The rapid outbreak of COVID-19 pandemic invoked scientists and researchers to prepare the world for future disasters. During the pandemic, global authorities on healthcare urged th…

cs.CV20225 cited

Revisiting Crowd Counting: State-of-the-art, Trends, and Future Perspectives

Muhammad Asif Khan, Hamid Menouar, Ridha Hamila

Crowd counting is an effective tool for situational awareness in public places. Automated crowd counting using images and videos is an interesting yet challenging problem that has…

cs.MM20223 cited

A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges

Muhammad Asif Khan, Emna Baccour, Zina Chkirbene +4

5G communication brings substantial improvements in the quality of service provided to various applications by achieving higher throughput and lower latency. However, interactive m…

cs.LG2021

Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints

Ilyes Mrad, Lutfi Samara, Alaa Awad Abdellatif +3

The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to increase due to the numerous advantages that they provide over conventional approaches.…

eess.IV2020

Early Detection of Myocardial Infarction in Low-Quality Echocardiography

Aysen Degerli, Morteza Zabihi, Serkan Kiranyaz +4

Myocardial infarction (MI), or commonly known as heart attack, is a life-threatening health problem worldwide from which 32.4 million people suffer each year. Early diagnosis and t…

cs.CV201923 cited

Colorectal cancer diagnosis from histology images: A comparative study

Junaid Malik, Serkan Kiranyaz, Suchitra Kunhoth +4

Computer-aided diagnosis (CAD) based on histopathological imaging has progressed rapidly in recent years with the rise of machine learning based methodologies. Traditional approach…