Annan Zhou

Orcid: 0000-0001-5209-5169

According to our database1, Annan Zhou authored at least 17 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




A multi-terrain feature-based deep convolutional neural network for constructing super-resolution DEMs.
Int. J. Appl. Earth Obs. Geoinformation, June, 2023

Safety assessment of excavation system via TOPSIS-based MCDM modelling in fuzzy environment.
Appl. Soft Comput., May, 2023

An Enhanced Residual Feature Fusion Network Integrated with a Terrain Weight Module for Digital Elevation Model Super-Resolution.
Remote. Sens., February, 2023

A cloud model-based approach for risk analysis of excavation system.
Reliab. Eng. Syst. Saf., 2023

Physics-informed deep neural network for modeling the chloride diffusion in concrete.
Eng. Appl. Artif. Intell., 2023

A news picture geo-localization pipeline based on deep learning and street view images.
Int. J. Digit. Earth, December, 2022

Estimating Regional PM2.5 Concentrations in China Using a Global-Local Regression Model Considering Global Spatial Autocorrelation and Local Spatial Heterogeneity.
Remote. Sens., 2022

A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil.
Eng. Comput., 2022

A novel improved Harris Hawks optimization algorithm coupled with ELM for predicting permeability of tight carbonates.
Eng. Comput., 2022

Enhancement of neural networks with an alternative activation function tanhLU.
Expert Syst. Appl., 2022

Novel model for risk identification during karst excavation.
Reliab. Eng. Syst. Saf., 2021

An Enhanced Double-Filter Deep Residual Neural Network for Generating Super Resolution DEMs.
Remote. Sens., 2021

Analysis of Factors Influencing the Lake Area on the Tibetan Plateau Using an Eigenvector Spatial Filtering Based Spatially Varying Coefficient Model.
Remote. Sens., 2021

Application of LSTM approach for modelling stress-strain behaviour of soil.
Appl. Soft Comput., 2021

Real-Time Dynamic Earth-Pressure Regulation Model for Shield Tunneling by Integrating GRU Deep Learning Method With GA Optimization.
IEEE Access, 2020

Prediction Model of Shield Performance During Tunneling via Incorporating Improved Particle Swarm Optimization Into ANFIS.
IEEE Access, 2020

Investigation on Performance of Neural Networks Using Quadratic Relative Error Cost Function.
IEEE Access, 2019