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Towards Improving Workers' Safety and Progress Monitoring of Construction Sites Through Construction Site Understanding
Object detection task in construction site images is experimented with extensively to demonstrate its efficacy and effectiveness.
Autonomous Resource Management in Construction Companies Using Deep Reinforcement Learning Based on IoT
Resource allocation is one of the most critical issues in planning construction projects, due to its direct impact on cost, time, and quality.
DoubleU-Net++: Architecture with Exploit Multiscale Features for Vertebrae Segmentation
Also, for xVertSeg dataset, we achieved precision, recall, and F1-score of above 97% for sagittal view, above 93% for coronal view , and above 96% for axial view.
Construction material classification on imbalanced datasets using Vision Transformer (ViT) architecture
This research proposes a reliable model for identifying different construction materials with the highest accuracy, which is exploited as an advantageous tool for a wide range of construction applications such as automated progress monitoring.
Predicting Driver Intention Using Deep Neural Network
To improve driving safety and avoid car accidents, Advanced Driver Assistance Systems (ADAS) are given significant attention.
