Lab Blockage Dataset News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Stay updated with breaking news from Lab blockage dataset. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.

Top News In Lab Blockage Dataset Today - Breaking & Trending Today

"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 culvert openings are segmented at the first stage and classified into one of four percentage visual blockage classes at the second stage. Images of Culverts and Blockage (ICOB) and Visual Hydraulics-Lab Blockage Dataset (VHD) dataset were used to train the deep learning models. From the results, Mask R-CNN (ResNet50 backbone) achieved the best segmentation performance (i.e. mAP@75 of 77.2%), while NASNet achieved the best classification performance (i.e. 81.2% test accuracy). To demonstrate the i ....

Lab Blockage Dataset , Visual Hydraulics Lab Blockage Dataset , Computer Vision , Onvolutional Neural Networks Cnns , Deep Learning Pipeline , Ntelligent Video Analytic Iva , Isual Blockage ,

"Prediction of hydraulic blockage at culverts from a single image using" by Umair Iqbal, Johan Barthelemy et al.

Cross-drainage hydraulic structures such as culverts and bridges in urban landscapes are prone to get blocked by the transported debris (e.g., urban, vegetated), which often reduces their hydraulic capacity and triggers flash floods. Unavailability of relevant data from blockage-originated flooding events and complex nature of debris accumulation are highlighted factors hindering the research within the blockage management domain. Wollongong City Council (WCC) blockage conduit policy is the leading formal guidelines to incorporate blockage into design guidelines; however, are criticized by the hydraulic engineers for its dependence on the post-flood visual inspections (i.e., visual blockage) instead of peak floods hydraulic investigations (i.e., hydraulic blockage). Apparently, no quantifiable relationship is reported between the visual blockage and hydraulic blockage; therefore, many consider WCC blockage guidelines invalid. This paper exploits the power of Artificial Intelligence (AI ....

Lab Dataset , Wollongong City Council , Lab Blockage Dataset , City Council , Artificial Intelligence , Hydraulics Lab Blockage Dataset , Visual Hydraulics Lab Dataset , Ross Drainage Hydraulic Structures , Deep Learning , Nd To End Learning , Ydraulic Blockage , Caled Physical Models , Isual Blockage ,

"Prediction of Hydraulic Blockage at Culverts using Lab Scale Simulated" by Umair Iqbal, Muhammad Zain Bin Riaz et al.

Blockage of culverts causes reduction in hydraulic capacity and is one of the main contributors to trigger urban flooding. However, the highly non-linear nature of debris interaction during the flood and lack of blockage-related data from actual flooding events make conventional numerical modelling almost impossible. Literature investigating blockage phenomena reports blockage as a complex hydraulic process, which suggests exploring adaptive solutions using latest technologies. In this context, motivated by the success of data-driven algorithms, in this article, four data driven models (i.e., K-NN, ANN, SVR, 1D-CNN) are implemented to predict the hydraulic blockage at culverts. A new numerical Hydraulics-Lab Blockage Dataset (HBD) is established from a series of lab-scale hydraulic experiments. From the experimental investigations, the ANN model was reported as the best with a R 2 score of 0.95. A potential use-case of presented research for real-world application is also discussed to ....

Lab Blockage Dataset , Hydraulics Lab Blockage Dataset , Artificial Neural Network Ann , Ydraulic Blockage , Earning Based Approaches , Machine Learning , Ne Dimensional Convolutional Neural Network 1d Cnn , Physical Modelling ,