Machine learning (ML) has been applied in civil engineering to predict the compressive strength of concrete with high accuracy. In this paper, five boosting ensemble algorithms, i.e., XGBoost, AdaBoost, GBDT, LightGBM, and CatBoost, were used to predict the compressive strength of high-...
Deep learning for multi-year ENSO forecasts Article 18 September 2019 Introduction The El Niño-Southern Oscillation (ENSO) is a primary mode of interannual weather variability around the globe. ENSO modulates flood timings in Africa1, interannual variability of flow in the Ganges, the Amazon, and...
Automatic detection and classification of defects in infrastructure surface images can largely boost its maintenance efficiency. Given enough labeled images, various supervised learning methods have been investigated for this task, including decision trees and support vector machines in previous studies, and...
With the development of deep learning techniques, a state-of-the-art convolutional neural network (CNN) based object detector, namely YOLOv3 network, has been employed in this research. This algorithm is known to be very efficient in the field of object detection from the perspective of ...
Deep Learning〣ased Crack Damage Detection Using Convolutional Neural Networks A number of image processing techniques (IPTs) have been implemented for detecting civil infrastructure defects in order to partially replace human-conducted on-site inspections. These IPTs are primarily used to manipulate ...
A deep learning based automated structural defect detection system for sewer pipelines Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019 (2019) Google Scholar LeCun and Boser, ...
Prof. Zhenhao Xu received his BSc degree in Civil Engineering from China University of Geosciences, and a PhD degree in Geological Engineering from Shandong University and the University of Western Australia. After that, he conducted postdoctoral research in Geological Resources and Geological Engineering...
- 《Computer‐aided Civil & Infrastructure Engineering》 被引量: 0发表: 2020年 Thermal Camera Face Detection and Alignment using MTCNN improved by using multi-task learning, i.e., jointly learning face/non-face classification, bounding box regression as well as facial keypoint detection... EMF ...
Deep learning approaches have enabled significant progress in these areas, allowing systems to better comprehend the overall structure and meaning of discourse. The integration of knowledge bases is another crucial aspect of Deep NLP. By leveraging external sources of structured knowledge, such as ...
While many existing studies have utilized deep learning in pavement crack ... J Liu,X Yang,S Lau,... - 《Computer‐aided Civil & Infrastructure Engineering》 被引量: 0发表: 2020年 Early Detection of Covid Using Spectral Analysis of Cough and Deep Convolutional Neural Network method of co...