5 citations · 6 across the 4 of their papers we have counts for
6 papers
Deep-Learning-based Automated Palm Tree Counting and Geolocation in Large Farms from Aerial Geotagged Images
Adel Ammar, Anis Koubaa
In this paper, we propose a deep learning framework for the automated counting and geolocation of palm trees from aerial images using convolutional neural networks. For this purpos…
DriftNet: Aggressive Driving Behavior Classification using 3D EfficientNet Architecture
Alam Noor, Bilel Benjdira, Adel Ammar +1
Aggressive driving (i.e., car drifting) is a dangerous behavior that puts human safety and life into a significant risk. This behavior is considered as an anomaly concerning the re…
Activity Monitoring of Islamic Prayer (Salat) Postures using Deep Learning
Anis Koubaa, Adel Ammar, Bilel Benjdira +6
In the Muslim community, the prayer (i.e. Salat) is the second pillar of Islam, and it is the most essential and fundamental worshiping activity that believers have to perform five…
AI-based Pilgrim Detection using Convolutional Neural Networks
Marwa Ben Jabra, Adel Ammar, Anis Koubaa +2
Pilgrimage represents the most important Islamic religious gathering in the world where millions of pilgrims visit the holy places of Makkah and Madinah to perform their rituals. T…
Smart Palm: An IoT Framework for Red Palm Weevil Early Detection
Anis Koubaa, Abdulrahman Aldawood, Bassel Saeed +5
Smart agriculture is an evolving trend in agriculture industry, where sensors are embedded into plants to collect vital data and help in decision making to ensure higher quality of…
Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3
Bilel Benjdira, Taha Khursheed, Anis Koubaa +2
Unmanned Aerial Vehicles are increasingly being used in surveillance and traffic monitoring thanks to their high mobility and ability to cover areas at different altitudes and loca…