Hence, many researchers have developed methods to detect cracks based on three main techniques: image processing, machine learning (ML), and deep learning (DL). Among these three techniques, DL has been recognised as an excellent method for crack detection because it assures high accuracy with ...
A Development of Road Crack Detection System Using Deep Learning-based Segmentation and Object Detectiondoi:10.7838/JSEBS.2021.26.1.093Jongwoo HaKyongwon ParkMinsoo KimSociety for e-Business Studies
ImageNet-based deep transfer learning has also been successfully applied for crack detection in macroscale materials images212,213, as well as for property prediction on small, noisy, and heterogeneous industrial datasets214,215. DL has also been applied to characterize the symmetries of simulated ...
This course teaches effective object recognition and its implementation with the powerful OpenCV libraries. You will learn how to enhance your OpenCV skills with deep learning. You will explore and master OpenCV for Object Recognition/Classification. The course explains all the necessary theory and conc...
Technology offers a lot of potential that is being used to improve the integrity and efficiency of infrastructures. Crack is one of the major concerns that can affect the integrity or usability of any structure. Oftentimes, the use of manual inspection m
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Voice-activated personal digital assistants use deep learning to understand speech, respond appropriately to queries and commands in natural language, and even crack wise occasionally. Driverless vehicles The unofficial representative for AI and deep learning, self-driving cars use deep learning algorithms...
A deep-learning model for pore-shaped damage detection was trained based on the proposed method. The detection results were compared with those of conventional models and manually counted geometrical characteristics. In addition, an ablation study was performed to evaluate the effects of the key ...
🥠 Deep Learning and Object Detection Introduction and objective Deterioration of road surface due to factors including vehicle overloading, poor construction quality, over ageing, natural disasters and other climatic conditions may lead to road pavement failure. This may result in traffic slowness ...
Probabilistic Machine Learning: An Introduction (https://probml.github.io/pml-book/book1.html) Dive into Deep Learning (https://d2l.ai/) Personalized Machine Learning by Julian McAuley (https://cseweb.ucsd.edu/~jmcauley/pml/pml_book.pdf) Machine Learning for Credit Card Fraud detection -...