Object tracking based on satellite videos: A literature review
Z Zhang, C Wang, J Song, Y Xu - Remote Sensing, 2022 - mdpi.com
Video satellites have recently become an attractive method of Earth observation, providing
consecutive images of the Earth's surface for continuous monitoring of specific events. The …
consecutive images of the Earth's surface for continuous monitoring of specific events. The …
Interpretation of machine-learning-based (black-box) wind pressure predictions for low-rise gable-roofed buildings using Shapley additive explanations (SHAP)
Conventional methods of estimating pressure coefficients of buildings retain time and cost
constraints. Recently, machine learning (ML) has been successfully established to predict …
constraints. Recently, machine learning (ML) has been successfully established to predict …
Short-term prediction of the intensity and track of tropical cyclone via ConvLSTM model
B Tong, X Wang, JY Fu, PW Chan, YC He - Journal of Wind Engineering …, 2022 - Elsevier
As one of the most destructive natural disasters, Tropical Cyclone (TC) can cause severe
casualties and economic losses almost every year in TC-prone areas. For the prevention …
casualties and economic losses almost every year in TC-prone areas. For the prevention …
A tropical cyclone intensity prediction model using conditional generative adversarial network
This study proposes a model for predicting tropical cyclone (TC) intensity evolution by
utilizing the conditional Wasserstein generative adversarial network with gradient penalty …
utilizing the conditional Wasserstein generative adversarial network with gradient penalty …
Near real-time predictions of tropical cyclone trajectory and intensity in the northwestern Pacific Ocean using echo state network
A recurrent neural network model for predicting the trajectories and intensities of tropical
cyclones (TCs) in the northwestern Pacific Ocean basin is described in the present study. By …
cyclones (TCs) in the northwestern Pacific Ocean basin is described in the present study. By …
Data augmentation for fault prediction of aircraft engine with generative adversarial networks
P Lang, K Peng, J Cui, J Yang… - 2021 CAA Symposium on …, 2021 - ieeexplore.ieee.org
Fault prediction is to predict the remaining useful life (RUL) of the equipment by constructing
models using historical data. However, the run-to-failure data is difficult to obtain, and it is …
models using historical data. However, the run-to-failure data is difficult to obtain, and it is …
[HTML][HTML] A Best-Fitting B-Spline Neural Network Approach to the Prediction of Advection–Diffusion Physical Fields with Absorption and Source Terms
X Zhu, J Liu, X Ao, S He, L Tao, F Gao - Entropy, 2024 - mdpi.com
This paper proposed a two-dimensional steady-state field prediction approach that
combines B-spline functions and a fully connected neural network. In this approach, field …
combines B-spline functions and a fully connected neural network. In this approach, field …
[PDF][PDF] Object Tracking Based on Satellite Videos: A Literature Review. Remote Sens. 2022, 14, 3674
Z Zhang, C Wang, J Song, Y Xu - 2022 - academia.edu
Video satellites have recently become an attractive method of Earth observation, providing
consecutive images of the Earth's surface for continuous monitoring of specific events. The …
consecutive images of the Earth's surface for continuous monitoring of specific events. The …
[PDF][PDF] Interpretation of Machine-Learning-Based (Black-box) Wind Pressure Predictions for Low-Rise Gable-Roofed Buildings Using Shapley Additive Explanations …
Conventional methods of estimating pressure coefficients of buildings retain time and cost
constraints. Recently, machine learning (ML) has been successfully established to predict …
constraints. Recently, machine learning (ML) has been successfully established to predict …