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Yun Wang, Shenglian Guo, Lihua Xiong, Pan Liu and Dedi Liu
There are many models that have been used to simulate the rainfall-runoff relationship. The artificial neural network (ANN) model was selected to investigate an approach of improving daily runoff forecasting accuracy in terms of data preprocessing. Singu...
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Jiajia Yuan, Jinyun Guo, Yupeng Niu, Chengcheng Zhu, Zhen Li and Xin Liu
Altimeter waveforms are usually contaminated due to nonmarine surfaces or inhomogeneous sea state conditions. The present work aimed to present how the singular spectrum analysis (SSA) can be used to reduce the noise level in Jason-1 altimeter waveforms ...
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Chunyuan Zhang, Pengyu Chen, Fangling Jiang, Jinsen Xie and Tao Yu
Nuclear power is a type of clean and green energy; however, there is a risk of radioactive material leakage when accidents occur. When radioactive material leaks from nuclear power plants, it has a great impact on the environment and personnel safety. In...
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Siyao Yu, Haoran Bu, Xue Hu, Wancheng Dong and Lixin Zhang
In order to explore the feasibility of rapid non-destructive detection of cotton leaf chlorophyll content during the growth stage, this study utilized hyperspectral technology combined with a feature variable selection method to conduct quantitative dete...
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Xiaying Wang, Yumei Yang, Yuanping Xia, Shuaiqiang Chen and Yulin She
As one of the most developed coastal cities, Shanghai experiences long-term ground surface settlement disasters during urban expansion periods, which has adverse effects on economic development. To date, many studies regarding Shanghai?s ground surface s...
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Zhongrong Zhang, Yiliao Song, Feng Liu and Jinpeng Liu
Wind energy has increasingly played a vital role in mitigating conventional resource shortages. Nevertheless, the stochastic nature of wind poses a great challenge when attempting to find an accurate forecasting model for wind power. Therefore, precise w...
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Taiwo Ajilore,Sylvanus Ikhide
AbstractThe study examined the assumption that ?size matters? in the empirical controversy of the relationship between migrants? remittances and economic growth. This is done through an empirical analysis of the remittances-growth relationships in select...
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Wenxiao Cao, Guoming Li, Hongfei Song, Boyu Quan and Zilu Liu
Water control of grain has always been a crucial link in storage and transportation. The resistance method is considered an effective technique for quickly detecting moisture in grains, making it particularly valuable in practical applications at drying ...
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Xinbo Zhao, Yuanze Li, Zhenhua Zhao, Xuguang Xing, Guohua Feng, Jiayi Bai, Yuhang Wang, Zhaomei Qiu and Jing Zhang
The accurate estimation of reference crop evapotranspiration (ETO) plays an important role in guiding regional water resource management and crop water content research. In order to improve the accuracy of ETO prediction in regions with missing data, thi...
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(1) Winita Sulandari (Department of Mathematics, Universitas Gadjah Mada, Indonesia) (2) Subanar Subanar (Department of Mathematics, Universitas Gadjah Mada, Indonesia) (3) Suhartono Suhartono (Department of Statistics, Institut Teknologi Sepuluh Nopember, Indonesia) (4) Herni Utami (Department of Mathematics, Universitas Gadjah Mada, Indonesia) (5) Muhammad Hisyam Lee (Department of Mathematical Sciences, Universiti Teknologi Malaysia, Malaysia)
Pág. 11 - 23
The study of SSA-based forecasting model is always interesting due to its capability in modeling trend and multiple seasonal time series. The aim of this study is to propose an iterative ordinary least square (OLS) for estimating the oscillatory with tim...
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Xiwen Cui, Xinyu Guan, Dongyu Wang, Dongxiao Niu and Xiaomin Xu
In order to accurately predict China?s future total energy consumption, this article constructs a random forest (RF)?sparrow search algorithm (SSA)?support vector regression machine (SVR)?kernel density estimation (KDE) model to forecast China?s future e...
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Amr A. Abd El-Mageed, Ayoub Al-Hamadi, Samy Bakheet and Asmaa H. Abd El-Rahiem
It is difficult to determine unknown solar cell and photovoltaic (PV) module parameters owing to the nonlinearity of the characteristic current?voltage (I-V) curve. Despite this, precise parameter estimation is necessary due to the substantial effect par...
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Zheng Zhao, Jialing Yuan and Luhao Chen
Air Traffic Flow Management (ATFM) delay can quantitatively reflect the congestion caused by the imbalance between capacity and demand in an airspace network. Furthermore, it is an important parameter for the ex-post analysis of airspace congestion and t...
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Yujie Zhang, Lei Zhang, Duo Sun, Kai Jin and Yu Gu
Wind power generation is a renewable energy source, and its power output is influenced by multiple factors such as wind speed, direction, meteorological conditions, and the characteristics of wind turbines. Therefore, accurately predicting wind power is ...
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Wenlong Fu, Kai Wang, Jianzhong Zhou, Yanhe Xu, Jiawen Tan and Tie Chen
Accurate wind speed prediction plays a significant role in reasonable scheduling and the safe operation of the power system. However, due to the non-linear and non-stationary traits of the wind speed time series, the construction of an accuracy forecasti...
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Shun Wang, Jiayan Wang, Zhikang Xu, Ji Wang, Rui Li and Jinliang Dai
The application of titanium alloy in shipbuilding can reduce ship weight and carbon emissions. To solve the problem of titanium alloy forming, the deformation prediction of titanium alloy line heating based on a backpropagation (BP) neural network and sp...
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Jing Han, Junxian Guo, Zhenzhen Zhang, Xiao Yang, Yong Shi and Jun Zhou
Herein, we propose a new method based on Fourier-transform near-infrared spectroscopy (FT-NIR) for detecting impurities in seed cotton. Based on the spectral data of 152 seed cotton samples, we screened the characteristic wavelengths in full-band spectra...
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Liming Lao, Dangkui Du and Pengzhan Chen
This paper proposes a novel prediction model termed the social and spatial attentive generative adversarial network (SSA-GAN). The SSA-GAN framework utilizes a generative approach, where the generator employs social attention mechanisms to accurately mod...
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Dongdong Ye, Rui Li, Jianfei Xu and Jiabao Pan
Accurate measurement of porosity is crucial for comprehensive performance evaluation of thermal barrier coatings (TBCs) on aero-engine blades. In this study, a novel data-driven predictive method based on terahertz time-domain spectroscopy (THz-TDS) was ...
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Jiaqiang Li, Yang Yu, Yanyan Wang, Longqing Zhao and Chao He
For diesel engines, accurate prediction of NOx (Nitrogen Oxides) emission plays an essential role in virtual NOx sensor development and engine design under situations of actual road driving. However, due to the randomness and uncertainty in the driving p...
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