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"Drones for Flood Monitoring, Mapping and Detection: A Bibliometric Rev" by Umair Iqbal, Muhammad Zain Bin Riaz et al.

Floods are one of the most often occurring and damaging natural hazards. They impact the society on a massive scale and result in significant damages. To reduce the impact of floods, society needs to keep benefiting from the latest technological innovations. Drones equipped with sensors and latest algorithms (e.g., computer vision and deep learning) have emerged as a potential platform which may be useful for flood monitoring, mapping and detection activities in a more efficient way than current...
Artificial Intelligence Ai Bibliometric Analysis Computer Vision Deep Learning Remote Sensing Unmanned Aerial Vehicle Uav
Source: uow.edu.au

"Edge-Computing Video Analytics Solution for Automated Plastic-Bag Cont" by Umair Iqbal, Johan Barthelemy et al.

The increased global waste generation rates over the last few decades have made the waste management task a significant problem. One of the potential approaches adopted globally is to recycle a significant portion of generated waste. However, the contamination of recyclable waste has been a major problem in this context and causes almost 75% of recyclable waste to be unusable. For sustainable development, efficient management and recycling of waste are of huge importance. To reduce the waste con...
Artificial Intelligence Only Look Once Remondis Contamination Dataset Frames Per Second Mean Average Precision False Positives
Source: uow.edu.au

The Intersection Between AI and 3D Printing

Additive manufacturing or 3D printing has been on the rise and is the backbone of all major fields, such as the automotive sector, aerospace industry, sustainable construction, etc. The implementation of Artificial Intelligence (AI) for 3D printing has been the focus of research all over the world.
Ibtisam Abbasifeb Rombostudio Shutterstock Ibtisam Abbasi Matveev Aleksandr Shutterstock Semiconductors Industry D Metal Printing For Aerospace Parts
Source: azom.com

"Quantification of visual blockage at culverts using deep learning base" by Umair Iqbal, Muhammad Zain Bin Riaz et al.

Blockage of culverts by debris material is reported as main cause of urban flash floods. Extraction of blockage information using intelligent video analytic (IVA) algorithms can prove helpful in making timely maintenance-related decisions toward avoiding flash floods. Having known the percentage of visual blockage at culverts can help better prioritise the maintenance of highly blocked culvert sites. This article proposes a deep learning-based segmentation-classification pipeline where visible c...
Lab Blockage Dataset Visual Hydraulics Lab Blockage Dataset Computer Vision Onvolutional Neural Networks Cnns Deep Learning Pipeline Ntelligent Video Analytic Iva
Source: uow.edu.au

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