Deep learning|based bridge damage cause estimation from multiple ...

Deep learning-based bridge damage cause estimation from multiple ...

Based on the developed model, a damage cause estimation method was proposed. In the proposed method, the damage causes are narrowed down by inputting new ...

Deep learning-based bridge damage cause estimation from multiple ...

Currently, damage in aging bridges is assessed visually, leading to significant personnel, time, and cost expenditures. Moreover, the results ...

Bridge Damage Cause Estimation Using Multiple Images Based on ...

Abstract:In this paper, a bridge member damage cause estimation framework is proposed by calculating the image position using Structure from ...

Bridge Damage Cause Estimation Using Multiple Images Based on ...

Request PDF | Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering | In this paper, a bridge member damage cause ...

A deep learning-based bridge damage detection and localization ...

Existing studies have utilized highly efficient partial least-squares regression (PLSR) to estimate nodal loads of the entire bridge using a ...

Deep learning for automated multiclass surface damage detection in ...

This paper presents a deep learning-based approach for multiclass surface damage detection and segmentation in various bridge components.

Deep learning-based bridge damage cause estimation from multiple ...

Deep learning-based bridge damage cause estimation from multiple images using visual question answering ... Cette publication a 52 références bibliographiques :.

A Deep-Learning-Based Bridge Damaged Object Automatic ... - MDPI

The study presented a solution to the limitations in classifying multiple types of damage by increasing the volume of training data, which exhibited robust ...

Deep learning-based bridge damage identification approach ...

Damage identification has always been one of the core functions of bridge structural health monitoring (SHM) systems. Damage identification ...

Recording of bridge damage areas by 3D integration of multiple ...

Machine learning models have been developed to perform damage detection using images to improve bridge inspection efficiency.

Enhanced ANN-based ensemble method for bridge damage ...

This paper improves the accuracy of the bridge damage state identification task founded upon a limited dataset, by enhancing an existing two- ...

Damage identification for bridges using machine learning - arXiv

The proposed approach presents a systematic path to the generation of training data using a validated FEM. The data generation relies on ...

Analytical Method for Bridge Damage Using Deep Learning-Based ...

Given the presence of various types of damage on concrete surfaces, the convolutional neural network model was trained to identify three specific types of ...

Deep learning-based indirect bridge damage identification system

For this purpose, a deep convolutional neural network is built, optimised, trained and tested to detect damage using acceleration signals ...

Damage-Detection Approach for Bridges with - ProQuest

Hence, the authors propose a convolutional-autoencoder (CAE)-based damage-detection approach, which is an unsupervised deep-learning network. However, the CAE- ...

A Machine Learning Approach to Bridge-Damage Detection Using ...

This paper proposes a new two-stage machine learning approach for bridge damage detection using the responses measured on a passing vehicle. In ...

A deep learning‐based image captioning method to automatically ...

In addition, often multiple forms of damage can be observed in the images of bridges; hence, our algorithm is adapted to output multiple ...

The application of deep learning in bridge health monitoring

For example, a convolution-based multi-damage recognition neural network combined CNN with an attention network and hybrid pooling layers was ...

Structural damage detection using deep learning and FE model ...

Model updating is used to establish a reference model that reflects the structural characteristics of the target. Training data for various ...

Evaluation of bridge structure damage based on deep learning ...

The model predicts the bridge structural damage caused by vehicle stress of four load categories, and the results show that the average fitting ...