Groundwater Depth Forecasting Using a Coupled Model by Manfei Zhang, Yimeng Wang, Xiao Wang, Weibo Zhou

“…In this paper, a new method based on coupling wavelet decomposition method (WA), autoregressive moving average (ARMA) model, and BP neural network (BP) model for groundwater depth forecasting applications was proposed. …”
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Surrounding Object Material Detection and Identification Method for Robots Based on Ultrasonic Echo Signals by Bo Zhu, Tao Geng, Gedong Jiang, Zheng Guan, Yang Li, Xialun Yun

“…This method primarily adopts the 16-dimensional feature vector extracted from intrinsic mode functions that we gain from empirical mode decomposition as inputs of machine learning algorithms to recognize different materials, and we use K-nearest neighbor, decision tree, and support vector machine algorithms on the feature vector set to decide the best classifier, and its acoustic theoretical model is established additionally. …”
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Testing the Performance of Large-Scale Atmospheric Indices in Estimating Precipitation in the Danube Basin by Constantin Mares, Venera Dobrica, Ileana Mares, Crisan Demetrescu

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Multisource Heterogeneous Data Fusion Methods Driven by Digital Twin on Basis of Prophet Algorithm by Min Li

“…However, the current data fusion methods still have problems, such as low accuracy of fused data, insufficient data integrity, poor data fusion efficiency, and poor scalability of fusion methods. …”
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Multiple-Cumulant-Matrices-Based Method for Exact NF Polarization Localization with COLD Array by Jiefeng Zheng, Haifen Meng, Zhuang Luo, Huayue Wu, Weiyue Liu, Hua Chen

“…Based on an exact spherical wavefront model, this paper proposes a multiple-cumulant-matrices-based method for NF source localization using a Co-centered Orthogonal Loop and Dipole (COLD) array. …”
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Sines, transient, noise neural modeling of piano notes by Riccardo Simionato, Stefano Fasciani

“…This article introduces a novel method for emulating piano sounds. We propose to exploit the sine, transient, and noise decomposition to design a differentiable spectral modeling synthesizer replicating piano notes. …”
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Two-stage deep reinforcement learning method for agile optical satellite scheduling problem by Zheng Liu, Wei Xiong, Zhuoya Jia, Chi Han

“…Then, a pointer network with a local selection mechanism and a rough pruning mechanism is constructed as the sequencing network to generate an executable task sequence in the task sequencing stage. Next, a decomposition strategy decomposes the executable task sequence into multiple sub-sequences in the observation scheduling stage, and the observation scheduling process of these sub-sequences is modeled as a concatenated Markov decision process. …”
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MODELING THE TRANSFER EFFECT OF EXCHANGE RATE ON PRICES IN RUSSIA by M. G. Tiunova

“…The study is based on the apparatus of structural vector autoregressions, evaluated using Bayesian methods. The structural identifcation of the model is carried out by the recursive ranking of variables and decomposition of structural shocks elaborated by André-Louis Cholesky. …”
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Numerical Methods for Fractional-Order Fornberg-Whitham Equations in the Sense of Atangana-Baleanu Derivative by Naveed Iqbal, Humaira Yasmin, Akbar Ali, Abdul Bariq, M. Mossa Al-Sawalha, Wael W. Mohammed

“…The results demonstrated that the future method is easy to implement, highly methodical, and very effective in analyzing the behavior of complicated fractional-order linear and nonlinear differential equations existing in the related areas of applied science.…”
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Model-Based Deep Network for Single Image Deraining by Pengyue Li, Jiandong Tian, Yandong Tang, Guolin Wang, Chengdong Wu

“…In this paper, we use the screen blend model of Photoshop as the nonlinear rainy image decomposition model. …”
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Construction control of cable-stayed bridge top push method based on BIM technology by Chengyong Chen, Wenming Su, Wenqiang Dou, Yongquan Dong, Ben Zhang

“…Abstract This research focuses on enhancing the precision and management of the top push method in cable-stayed bridge construction through the application of building information modeling (BIM) technology. …”
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Research on bearing fault diagnosis based on improved northern goshawk algorithm optimizing SVM by WU Xiaojun, LI Quwei

“…At the same time, the original diagnostic signals were feature extracted through wavelet packet decomposition and divided into 10 categories. The energy of each frequency band in the 3rd layer was used as the feature vector and input into the fault diagnosis model. …”
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A Data-Driven Observer for Wind Farm Power Gain Potential: A Sparse Koopman Operator Approach by Yue Chen, Bingchen Wang, Kaiyue Zeng, Lifu Ding, Yingming Lin, Ying Chen, Qiuyu Lu

“…This method lifts the low-dimensional wind direction input into a high-dimensional space of observable functions and then employs iterative sparse regression to identify a minimal, interpretable linear model in this lifted space. …”
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Rolling Bearing Fault Diagnosis Based on Optimized VMD Combining Signal Features and Improved CNN by Yingyong Zou, Xingkui Zhang, Wenzhuo Zhao, Tao Liu

“…The experimental results show that the method can effectively extract fault features in noise-covered signals, and the accuracy is also significantly improved compared with traditional methods.…”
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Research on scraper conveyor load prediction method based on wavelet transform and BP neural network by Dan Zhang, Jiafeng Qin, Weidong Wu, Yongtao Zhu, Weijie Guo

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A Fusion Model for Predicting the Vibration Trends of Hydropower Units by Dong Liu, Youchun Pi, Zhengyang Tang, Hongpeng Hua, Xiaopeng Wang

“…To enable timely monitoring of unit performance, it is critical to investigate the trends in vibration signals, to enhance the accuracy and reliability of vibration trend prediction models. This paper proposes a fusion model for the vibration signal trend prediction of hydropower units based on the waveform extension method empirical mode decomposition (W-EMD) and long short-term memory neural network (LSTMNN). …”
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Kinematic Calibration of Industrial Robots Based on Distance Information Using a Hybrid Identification Method by Guanbin Gao, Yuan Li, Fei Liu, Shichang Han

“…The singular value decomposition (SVD) is used to eliminate the redundant parameters of the error model. …”
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Modeling of Task Planning for Multirobot System Using Reputation Mechanism by Zhiguo Shi, Jun Tu, Yuankai Li, Junming Wei

“…Modeling of task planning for multirobot system is developed from two parts: task decomposition and task allocation. …”
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Analytical investigation on resolution calculation method for nonlinear temperature load of steel-concrete composite girders by Chun-Ming Zhang, Wei-Hong Wu, Wei Xian, Wei Xian

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Short-Term Prediction Method for Gas Concentration in Poultry Houses Under Different Feeding Patterns by Yidan Xu, Guanghui Teng, Zhenyu Zhou

“…Combining the advantages of seasonal-trend decomposition using loess (STL), Granger causality (GC), long short-term memory (LSTM), and extreme gradient boosting (XGBoost), an ensemble method called the STL-GC-LSTM-XGBoost model is proposed. …”
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