How Sustainability Reporting Strengthens the Profitability – Firm Value Link in Coal Mining Companies by Christina Juliana, Venantius Valentino Sembiring

“…The research analyses time series and cross-sectional data for 12 coal mining companies listed on the Indonesia Stock Exchange between 2020 and 2022. …”
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Regularized Multioutput Gaussian Convolution Process for Chemical Contents Data Imputation in Sintering Raw Materials by Wei Liu, Cailian Chen, Junpeng Li, Xinping Guan

“…To generalize the MGCP to a long-period case, dynamic time warping term is introduced to keep the global similarity between the original and estimated time series. Compared with several existing methods, the proposed method shows great superiority in sintering raw material contents estimation with real-world data.…”
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Application of Buoy Observations in Determining Characteristics of Several Typhoons Passing the East China Sea in August 2012 by Ningli Huang, Zheqing Fang, Fei Liu

“…The buoy-measured wind and pressure time series were also used to correct the intensity of “Damrey” initially determined by CMA.…”
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Traffic Pattern Prediction and Spectrum Allocation with Multiple Channel Width in Cognitive Cellular Networks by Lu Wang, Zhong Zhou, Wei Wu

“…Compared to the existing approaches based on time series or classical statistic method, the binary exponential deviation offset prediction proposed in this paper focuses on the increment or decrement on every sampling point during an exponential offset period. …”
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Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results by Andrey Dmitriev, Victor Dmitriev, Stepan Balybin

“…To identify the critical states of the network and to verify the model, we have proposed a spectrum of three scaling indicators of the observed time series of microposts.…”
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Quantifying Cross-Correlations between Economic Policy Uncertainty and Bitcoin Market: Evidence from Multifractal Analysis by Junjun Ma, Tingting Wang, Ruwei Zhao

“…Finally, we introduce another multifractal indicator and examine the extent of multifractality among time series. The empirical results indicate that the BTC series, USEPU series, and the cross-correlation of BTC-USEPU present apparent multifractality, where BTC shows the strongest degree of multifractality.…”
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Fluctuation scaling in neural spike trains by Shinsuke Koyama, Ryota Kobayashi

“…Fluctuation scaling has been observed universally in a wide variety of phenomena. In time series that describe sequences of events, fluctuation scaling is expressed as power function relationships between the mean and variance of either inter-event intervals or counting statistics, depending on measurement variables. …”
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An Empirical Study on Evolution of the Connectivity for VANETs Based on Taxi GPS Traces by Huifang Feng, Youji Xu

“…The study of the evolution characteristics shows that the number of connected components, the size of the giant component, and the connectivity length time series possess strong temporal correlation and long-range dependence. …”
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An Intelligence Optimized Rolling Grey Forecasting Model Fitting to Small Economic Dataset by Li Liu, Qianru Wang, Ming Liu, Lian Li

“…Many models based on grey system theory could be adapted to various economic time series data. However, some of these models did not consider the impact of recent data or the effective model parameters that can improve forecast accuracy. …”
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The CSS and The Two-Staged Methods for Parameter Estimation in SARFIMA Models by Erol Egrioglu, Cagdas Hakan Aladag, Cem Kadilar

“…Seasonal Autoregressive Fractionally Integrated Moving Average (SARFIMA) models are used in the analysis of seasonal long memory-dependent time series. Two methods, which are conditional sum of squares (CSS) and two-staged methods introduced by Hosking (1984), are proposed to estimate the parameters of SARFIMA models. …”
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Kinematic Approach to the 24th Solar Cycle Prediction by Vladimir Kaftan

“…The results of kinematic modeling of the 24th solar cycle (SC) are discussed. Time series of solar and cosmic ray monthly mean indices were received from web resources of international data centers. …”
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Traffic Flow Prediction with Rainfall Impact Using a Deep Learning Method by Yuhan Jia, Jianping Wu, Ming Xu

“…Furthermore, the LSTM can outperform the DBN to capture the time series characteristics of traffic flow data.…”
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LSTM vs. Prophet: Achieving Superior Accuracy in Dynamic Electricity Demand Forecasting by Saleh Albahli

“…This study underscores the practical implications of the hybrid approach, particularly in energy grid management and resource optimization, setting a new benchmark for time series forecasting in the energy sector.…”
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Influential Factor Analysis and Prediction on Initial Metro Network Ridership in Xi’an, China by Tao Lyu, Mingfei Xu, Jia Zhang, Yuanqing Wang, Liu Yang, Yanan Gao

“…Results show that the passenger intensity significantly fluctuates with the months and days, and MELR model is more adapted for the short-term prediction of the abrupt volume than the ARIMA model during the new metro line opening and the old line expands, which avoids the drawback of time series models that need a huge database. This study provides a guide for the prediction of initial metro network volume and accurate purchase of the rail vehicles during the metro planning and expends stages.…”
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A Bertrand Duopoly Game with Long-Memory Effects by Baogui Xin, Fangrui Cao, Wei Peng, Abdelalim A. Elsadany

“…Using the bifurcation diagram, the phase portrait, time series, and the 0-1 test for chaos, we numerically validate these results and illustrate its complex phenomena, such as bifurcation and chaos.…”
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Spatial Dynamic Wideband Modeling of the MIMO Satellite-to-Earth Channel by Andreas Lehner, Alexander Steingaß

“…A novel MIMO (multiple input multiple output) satellite channel model that allows the generation of associated channel impulse response (CIR) time series depending on the movement profile of a land mobile terminal is presented in this paper. …”
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Numerical Simulation of Sloshing Phenomena in Cubic Tank with Multiple Baffles by Mi-An Xue, Jinhai Zheng, Pengzhi Lin

“…Power spectrum of the time series of free surface elevation was presented with the aid of fast Fourier transform technique. …”
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Qualitative Analysis of a Hyperchaotic Lorenz-Stenflo Mathematical Model via the Caputo Fractional Operator by Chernet Tuge Deressa, Sina Etemad, Mohammed K. A. Kaabar, Shahram Rezapour

“…The master and slave systems showed a strong correlation among themselves, as verified by graphs of time series solutions of the two systems.…”
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An Improved Nonhomogeneous Grey Model with Fractional-Order Accumulation and Its Application by Shuanghua Liu, Qin Qi, Zhiming Hu

“…The nonhomogeneous grey model has been seen as an effective method for forecasting time series with approximate nonhomogeneous index law, which has been widely used in diverse disciplines on account of its high prediction precision. …”
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A Fully Nonlinear, Dynamically Consistent Numerical Model for Ship Maneuvering in a Seaway by Ray-Qing Lin, Weijia Kuang

“…In particular, the numerical time series of roll and pitch motions and the numerical ship tracks (i.e., surge, sway, and yaw) are nearly identical to those of experiments.…”
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