4 papers · 1 filter
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training
Shreen Gul, Mohamed Elmahallawy, Sanjay Madria +1
Machine learning models are increasingly being utilized across various fields and tasks due to their outstanding performance and strong generalization capabilities. Nonetheless, th…
DIS-Mine: Instance Segmentation for Disaster-Awareness in Poor-Light Condition in Underground Mines
Mizanur Rahman Jewel, Mohamed Elmahallawy, Sanjay Madria +1
Detecting disasters in underground mining, such as explosions and structural damage, has been a persistent challenge over the years. This problem is compounded for first responders…
FisherMask: Enhancing Neural Network Labeling Efficiency in Image Classification Using Fisher Information
Shreen Gul, Mohamed Elmahallawy, Sanjay Madria +1
Deep learning (DL) models are popular across various domains due to their remarkable performance and efficiency. However, their effectiveness relies heavily on large amounts of lab…
CAV-AD: A Robust Framework for Detection of Anomalous Data and Malicious Sensors in CAV Networks
Md Sazedur Rahman, Mohamed Elmahallawy, Sanjay Madria +1
The adoption of connected and automated vehicles (CAVs) has sparked considerable interest across diverse industries, including public transportation, underground mining, and agricu…