王汝桦
个人信息
Personal information
学位：博士
- [1] A novel transformer-based semantic segmentation framework for structural condition assessment,Structural Health Monitoring,2023-07-01.
- [2] Invertible Residual Blocks in Deep Learning Networks,IEEE Transactions on Neural Networks and Learning Systems,2023-03-01.
- [3] Prediction of BLEVE loads on structures using machine learning and CFD,Process Safety and Environmental Protection,2023-03-01.
- [4] Structural damage quantification using ensemble-based extremely randomised trees and impulse response functions,Structural Control & Health Monitoring,2022-06-01.
- [5] Densely connected convolutional networks for vibration based structural damage identification,Engineering Structures,2021-10-01.
- [6] Fixed-Point Algorithms for Inverse of Residual Rectifier Neural Networks,Mathematical Foundations of Computing,2021-03-01.
- [7] Development and application of random forest technique for element level structural damage quantification,Structural Control & Health Monitoring,2020-12-01.
- [8] Deep residual network framework for structural health monitoring,Structural Health Monitoring,2020-06-01.
- [9] Development and application of a deep learning-based sparse autoencoder framework for structural damage identification,Structural Health Monitoring,2020-06-01.
- [10] A Novel Parallel Auto-Encoder Framework for Multi-Scale Data in Civil Structural Health Monitoring,Algorithms,2018-12-01.
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