A comprehensive survey analysis for present solutions of medical image fusion and future directions
The track of medical imaging has witnessed several advancements in the last years. Several
medical imaging modalities have appeared in the last decades including X-ray, Computed …
medical imaging modalities have appeared in the last decades including X-ray, Computed …
A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment
In this research, monthly wind speed time series of the Kirsehir was investigated using the
stand-alone, hybrid and ensemble models. The artificial neural networks, Gaussian process …
stand-alone, hybrid and ensemble models. The artificial neural networks, Gaussian process …
Multi-layer cooperative combined forecasting system for short-term wind speed forecasting
J Wang, Q Li, B Zeng - Sustainable Energy Technologies and Assessments, 2021 - Elsevier
Short-term wind speed forecasting is crucial to enhance the operational efficiency and
increase the economic benefit of wind power generation systems. A substantial number of …
increase the economic benefit of wind power generation systems. A substantial number of …
Typhoon intensity forecasting based on LSTM using the rolling forecast method
S Yuan, C Wang, B Mu, F Zhou, W Duan - Algorithms, 2021 - mdpi.com
A typhoon is an extreme weather event with strong destructive force, which can bring huge
losses of life and economic damage to people. Thus, it is meaningful to reduce the …
losses of life and economic damage to people. Thus, it is meaningful to reduce the …
Identification of grouting compactness in bridge bellows based on the BP neural network
H Liu, J Liu, Y Wang, Y Xia, Z Guo - Structures, 2021 - Elsevier
Prestressed concrete beams are widely used in bridge engineering due to their long span,
lightweight, and good integrity. However, the grouting quality in the bellows of the beams will …
lightweight, and good integrity. However, the grouting quality in the bellows of the beams will …
Hybrid convolutional Bi-LSTM autoencoder framework for short-term wind speed prediction
Accurate wind speed prediction is essential for optimal operation and planning. The
unstable and stochastic nature of the wind makes the task complicated and challenging. As …
unstable and stochastic nature of the wind makes the task complicated and challenging. As …
Robust penalized extreme learning machine regression with applications in wind speed forecasting
In extreme learning machine (ELM) framework, the hidden layer setting determines its
generalization ability; and in presence of outliers in the training set, weights between hidden …
generalization ability; and in presence of outliers in the training set, weights between hidden …
Wind speed prediction and insight for generalized predictive modeling framework: a comparative study for different artificial intelligence models
Wind speed (WS) has played a vital role in local urban and sub-urban weather, agriculture,
and ecosystem. Several meteorological parameters are influencing WS such as relative …
and ecosystem. Several meteorological parameters are influencing WS such as relative …
An automatic segmentation framework of quasi-periodic time series through graph structure
X Tang, D Zheng, GS Kebede, Z Li, X Li, C Lu, L Li… - Applied …, 2023 - Springer
The segmentation of quasi-periodic time series (QTS) is crucial for modeling analysis in
industrial and medical fields. However, it is challenging to automatically and effectively split …
industrial and medical fields. However, it is challenging to automatically and effectively split …
基于小麦冠层无人机高光谱影像的农田土壤含水率估算.
王梦迪， 何莉， 刘潜， 李志娟， 王冉… - Transactions of the …, 2023 - search.ebscohost.com
精准监测农田土壤含水率(soil moisture content, SMC) 有助于提高中国水资源利用率以及农业
可持续发展水平, 为实现国家农业经济的稳定发展及可持续发展目标打下坚实的基础 …
可持续发展水平, 为实现国家农业经济的稳定发展及可持续发展目标打下坚实的基础 …