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"An improved deep learning-based optimal object detection system from i" by Satya Prakash Yadav, Muskan Jindal et al.

Computer vision technology for detecting objects in a complex environment often includes other key technologies, including pattern recognition, artificial intelligence, and digital image processing. It has been shown that Fast Convolutional Neural Networks (CNNs) with You Only Look Once (YOLO) is optimal for differentiating similar objects, constant motion, and low image quality. The proposed study aims to resolve these issues by implementing three different object detection algorithmsโ€”You Onl...
Fast Convolutional Neural Networks Cnns Convolutional Neural Networks Fast Convolutional Neural Networks Only Look Once Single Stage Detector Faster Region Based Convolutional Neural Networks
Source: uow.edu.au

"Health Monitoring of Old Buildings in Bangladesh: Detection of Cracks " by Rafiul Bari Angan, Md Safaiat Hossain et al.

Numerous buildings in Bangladesh were constructed without following standard building codes. As a result, those are vulnerable to increased earthquake frequency and variable loads. To address this issue, old buildings need to be monitored frequently by non-destructive testing (NDT) to avoid any failures. The identification of cracks and dampness is one of the most important parts of this test. Generally, this detection part is costly and time-consuming to conduct it manually. To resolve this, th...
Convolutional Neural Network Average Precision Crack And Dampness Deep Learning Deep Neural Network Dnn Object Detection
Source: uow.edu.au

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"Visual blockage assessment at culverts using synthetic images to mitig" by Umair Iqbal, Johan Barthelemy et al.

The assessment of visual blockages in cross-drainage hydraulic structures, such as culverts and bridges, is crucial for ensuring their efficient functioning and preventing flash flooding incidents. The extraction of blockage-related information through computer vision algorithms can provide valuable insights into the visual blockage. However, the absence of comprehensive datasets has posed a significant challenge in effectively training computer vision models. In this study, we explore the use o...
Faster Convolutional Neural Network Faster Region Based Convolutional Neural Network Computer Vision Gaming Engines Object Detection Synthetic Data
Source: uow.edu.au

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