Analysis and Modeling of Time-Correlated Characteristics of Rainfall-Runoff Similarity in the Upstream Red River Basin by Xiuli Sang, Jianxin Xu, Kun Zhang, Hua Wang

“…Both noised and denoised time series by thresholding the wavelet coefficients were applied to verify the accuracy of model. …”
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An Airborne Gravity Gradient Compensation Method Based on Convolutional and Long Short-Term Memory Neural Networks by Shuai Zhou, Changcheng Yang, Yi Cheng, Jian Jiao

“…By leveraging convolution feature extraction capabilities and considering the temporal dependencies of dynamic measurement parameters with LSTM, the model demonstrates a stronger ability to learn from severely coupled time series data, resulting in a significant improvement in the compensation performance. …”
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Static and dynamic stretching have same effects on lower extremity joints kinematics and muscular EMG variability in healthy active males during pedaling by Ali Abbası, Heydar Sadeghı, Mehdi Zamanıan

“…Filtered EMG signals and hip, knee and ankle joints angle and angular velocity were extracted for constructing time series and variability calculation. The results of repeated measures ANOVA showed that there are no significant difference in the variability of Muscular EMG and joints angle and angular velocity at 2, 5, and 10 minutes after static and dynamic stretching (P gt; 0.05). …”
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Time-Varying Wind Load Identification Based on Minimum-Variance Unbiased Estimation by Huili Xue, Kun Lin, Yin Luo, Hongjun Liu

“…The fluctuating wind speed process is investigated by the autoregressive (AR) model method in time series analysis. The accuracy and feasibility of the inverse approach are numerically investigated by identifying the wind load on a twenty-story shear building structure. …”
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Sensitivity Analysis of Copolar Complex Coherence for Crop Monitoring At L-Band by Jiayin Luo, Juan M. Lopez-Sanchez, Irena Hajnsek

“…Time series of polarimetric synthetic aperture radar (SAR) images are usually employed for agricultural crop monitoring. …”
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Performance Degradation Assessment of Rotary Machinery Based on a Multiscale Tsallis Permutation Entropy Method by Yong Chen, Mian Jiang, Kuanfang He

“…MTPE values are a function of an entropy index and scale, which have the universality for handling the complexity of a permutated time series. The health condition of the rotary machinery was effectively represented by the MTPEs in conditional monitoring; the initial point of the unhealthy stage was found using the 3σ interval. …”
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A New Simple Chaotic Lorenz-Type System and Its Digital Realization Using a TFT Touch-Screen Display Embedded System by Rodrigo Méndez-Ramírez, Adrian Arellano-Delgado, César Cruz-Hernández, Rigoberto Martínez-Clark

“…In addition, the presence of chaos for DV of the NCS was proved by using the analytical and numerical degradation tests; the time series was calculated to determine the behavior of Lyapunov exponents (LEs). …”
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Carbon Dioxide Emission Measurement and Its Spatiotemporal Evolution of Tourism Industry in Heilongjiang Province, China by Zi Tang, Tianyue Huang

“…The empirical results are as follows. (1) From 2010 to 2019, carbon dioxide emissions from Heilongjiang Province’s tourism industry and its subsector increased steadily, of which the tourism industry accounted for a relatively large amount of carbon dioxide emissions in “Transport, Storage, and Post.” (2) Time series analysis reveals that the carbon dioxide emissions of tourism basically show an increasing trend and there are still multiple decoupling relationships with economic growth. …”
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Complexity of a Microblogging Social Network in the Framework of Modern Nonlinear Science by Andrey Dmitriev, Vasily Kornilov, Svetlana Maltseva

“…Our research revealed all the key signs of complexity of the time series of a number of microposts. We offer a new model of a microblogging social network as a nonlinear random dynamical system with additive noise in three-dimensional phase space. …”
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Ensemble Prediction Algorithm of Anomaly Monitoring Based on Big Data Analysis Platform of Open-Pit Mine Slope by Song Jiang, Minjie Lian, Caiwu Lu, Qinghua Gu, Shunling Ruan, Xuecai Xie

“…In order to make up this disadvantage, this research will provide an ensemble prediction algorithm of anomalous system data based on time series and an evaluation system for the algorithm. …”
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A Network Traffic Prediction Model Based on Quantum-Behaved Particle Swarm Optimization Algorithm and Fuzzy Wavelet Neural Network by Kun Zhang, Zhao Hu, Xiao-Ting Gan, Jian-Bo Fang

“…Due to the fact that the fluctuation of network traffic is affected by various factors, accurate prediction of network traffic is regarded as a challenging task of the time series prediction process. For this purpose, a novel prediction method of network traffic based on QPSO algorithm and fuzzy wavelet neural network is proposed in this paper. …”
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A Study on Wind Pressure Characteristics of a Large-Span Membrane Structure under the Fluctuating Wind in a Vertical Direction Based on a Large Eddy Simulation by Fangjin Sun, Haoxuan Tang, Mingjin Lu, Daming Zhang, Chen Lu

“…Next, a numerical simulation is performed to understand not only the wind pressure and the wind speed time series but also the wind vibration responses and fluid-solid coupling. …”
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Hourly Forecasting of Solar Photovoltaic Power in Pakistan Using Recurrent Neural Networks by Sohrab Khan, Faheemullah Shaikh, Mokhi Maan Siddiqui, Tanweer Hussain, Laveet Kumar, Afroza Nahar

“…In this work, numerous time series forecast methodologies, including the statistical and artificial intelligence-based methods, are studied and compared fastidiously to forecast PV electricity. …”
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Nonlinear functional response parameter estimation in a stochastic predator-prey model by Gianni Gilioli, Sara Pasquali, Fabrizio Ruggeri

“…In this paper we consider a stochastic predator-prey system with non-linear Ivlev functional response and propose a method for model parameter estimation based on time series of field data. We tackle the problem of parameter estimation using a Bayesian approach relying on a Markov Chain Monte Carlo algorithm. …”
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Comparison of Neural Network Error Measures for Simulation of Slender Marine Structures by Niels H. Christiansen, Per Erlend Torbergsen Voie, Ole Winther, Jan Høgsberg

“…Therefore, the networks trained on different error functions are compared with respect to accuracy of rain flow counts of stress cycles over a number of time series simulations. It is shown that adjusting the error function to perform significantly better on a specific problem is possible. …”
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Recognition of Transportation State by Smartphone Sensors Using Deep Bi-LSTM Neural Network by Hong Zhao, Chunning Hou, Hala Alrobassy, Xiangyan Zeng

“…The model of the deep Bi-LSTM neural network can be used for other time-series fields such as signal recognition and action analysis.…”
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What Affects Bus Passengers’ Travel Time? A View from the Built Environment and Weather Condition by Xiaowei Li, Lanxin Shi, Haotian Li, Qian Liu, Jun Chen

“…The study employed the light gradient boosting machine (LightGBM) model and SHapley Additive exPlanations (SHAP) value to assess the feature importance and nonlinear effects of different types of POI density, weather conditions, and time series on bus passengers’ travel time. The study findings indicate that several factors are associated with bus passengers’ travel time, including destination residential density, destination diversity, destination life service density, origin science and education density, origin residential density, origin diversity, humidity, visibility, boarding time between 7 and 8 a.m., and precipitation. …”
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Dynamics of Fractional-Order Three-Species Food Chain Model with Vigilance Effect by Vinoth Seralan, Rajarathinam Vadivel, Nallappan Gunasekaran, Taha Radwan

“…To support the analytical findings, numerical simulation results are given in terms of time series, phase portraits, and bifurcation diagrams. …”
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On-Ship Trinocular Stereo Vision: An Experimental Study for Long-Range High-Accuracy Localization of Other Vessels by Kotaro Yoshihara, Shigehiro Yamamoto, Takeshi Hashimoto

“…One proposed solution is to use an additional camera, thus using three-camera measurements of objects at long distances to reduce positional measurement errors, incorporating time-series averaging and keypoint-based techniques. …”
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Breakup of Spiral Wave and Order-Disorder Spatial Pattern Transition Induced by Spatially Uniform Cross-Correlated Sine-Wiener Noises in a Regular Network of Hodgkin-Huxley Neurons by Yuangen Yao, Wei Cao, Qiming Pei, Chengzhang Ma, Ming Yi

“…The sudden change of the curve of synchronization factor R and the time series of average membrane voltage F can be used to semiquantitatively assess this spatial pattern transition and spiral wave destruction induced by CCSW noises, respectively. …”
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