5 citations · 6 across the 5 of their papers we have counts for
5 papers
Accelerating Deep Learning with Fixed Time Budget
Muhammad Asif Khan, Ridha Hamila, Hamid Menouar
The success of modern deep learning is attributed to two key elements: huge amounts of training data and large model sizes. Where a vast amount of data allows the model to learn mo…
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…
Unauthorized Drone Detection: Experiments and Prototypes
Muhammad Asif Khan, Hamid Menouar, Osama Muhammad Khalid +1
The increase in the number of unmanned aerial vehicles a.k.a. drones pose several threats to public privacy, critical infrastructure and cyber security. Hence, detecting unauthoriz…
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…
An Improved Dilated Convolutional Network for Herd Counting in Crowded Scenes
Soufien Hamrouni, Hakim Ghazzai, Hamid Menouar +1
Crowd management technologies that leverage computer vision are widespread in contemporary times. There exists many security-related applications of these methods, including, but n…