Analysis of Rattleback Chaotic Oscillations by Michael Hanias, Stavros G. Stavrinides, Santo Banerjee

“…The emerging chaotic behaviour in all three cases has been studied and evaluated by the related time-series analysis and the calculation of the strange attractors’ invariant parameters.…”
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A Cable Defect Assessment Method Based on a Mixed-Domain Multi-Feature Set of Overall Harmonic Signals by Ruidong Wang, Ruzheng Pan

“…Grounding current tests and Variational Mode Decomposition (VMD) time series analysis were performed on the test samples to extract the overall harmonic sequences in the grounding current. …”
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Modelling company’s stock quotes under the economy’s cyclicity by Lyudmila I. Tenkovskaya

“…The methods include time series analysis, economic and mathematical methods of modelling and forecasting. …”
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Air quality investigation using functional data analysis methods by Akvilė Vitkauskaitė, Milda Salytė

“…The analysis employs data smoothing, principal component analysis (PCA), exploratory data analysis, hypothesis testing, and time series analysis to provide a thorough examination. Functional data analysis approaches were used to find the origins and effects of these air pollutants by revealing their data patterns. …”
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Datasets for quantifying association between short-term exposure to maximum temperature and heatstroke-related ambulance dispatches in Japan: A time-stratified case-crossover desig... by Keita Wagatsuma

“…This resource is intended to support researchers, educators, and students in leveraging time-series analysis for research and educational purposes.…”
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Spatio-temporal behavior of atmospheriC concentration of NO2 using OMI sensor and its effect on precipitation in Iran by abolhassan gheibi, ali soleymani, hossein malakooti

“…In contrast, the time series analysis of average annual precipitation in Iran demonstrated a declining trend with a slope of (-0.159 mm × ). …”
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Extracting interpretable signatures of whole-brain dynamics through systematic comparison. by Annie G Bryant, Kevin Aquino, Linden Parkes, Alex Fornito, Ben D Fulcher

“…Our findings generally support the use of linear time-series analysis techniques for rs-fMRI case-control analyses, while also identifying new ways to quantify informative dynamical fMRI structures. …”
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PREDICTING USD/ TL EXCHANGE RATE IN TURKEY: THE LONG-SHORT TERM MEMORY APPROACH by Abdul-razak Bawa Yussif, Fatih Mangır, Zeynep Karaçor, Ayten Yağmur

“…This is as a result of the inherent noise and the volatile behavior in these series. Time series analysis models such as ARIMA have been used for this purpose. …”
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Is Chinaʼs Capital Liberalisation Policy Effective? by Lirong Wang, Jinnan Zhou, C. James Hueng

“…These allow us to investigate the effects of Chinaʼs capital controls and subsequent liberalisation policies, along with various global‐push and domestic‐pull factors, on its gross capital flows in a time series analysis. We collect various sources of information on Chinaʼs capital control policies from 2005 to 2022 and construct quarterly time series of Chinaʼs capital control indices for different types of gross flows. …”
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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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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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Unfolding the potential of the ARIMA model in forecasting maize production in Tanzania by Joseph Lwaho, Bahati Ilembo

“…Originality/value – The study used partially processed secondary data to fit for Time series analysis using ARIMA (1,1,1) and hence reliable and conclusive results.…”
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Toward Enhanced Prediction of High‐Impact Solar Energetic Particle Events Using Multimodal Time Series Data Fusion Models by Pouya Hosseinzadeh, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi

“…Our research utilizes six machine learning (ML) models, each finely tuned for time series analysis, including Univariate Time Series (UTS), Image‐based model (Image), Univariate Feature Concatenation (UFC), Univariate Deep Concatenation (UDC), Univariate Deep Merge (UDM), and Univariate Score Concatenation (USC). …”
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Quadratic Forms in Random Matrices with Applications in Spectrum Sensing by Daniel Gaetano Riviello, Giusi Alfano, Roberto Garello

“…Quadratic forms with random kernel matrices are ubiquitous in applications of multivariate statistics, ranging from signal processing to time series analysis, biomedical systems design, wireless communications performance analysis, and other fields. …”
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The effect of climate change on the precipitable water content in the north coast of the Persian Gulf by Tayebeh Dehghani, mohammad saligheh, Bohloul Alijani

“…The NCEP / NCAR base-station data with an arc-value of 0.125 was used to analyze the past and present precipitable water patterns and to reveal the process of this time series. Time series analysis of precipitable water was performed using two SENS tilt estimators and Man-Kendall test. …”
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IoTDQ: An Industrial IoT Data Analysis Library for Apache IoTDB by Pengyu Chen, Wendi He, Wenxuan Ma, Xiangdong Huang, Chen Wang

“…To satisfy most of the common requirements in industrial time series analysis, we create a UDF library, IoTDQ, on Apache IoTDB. …”
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Analysis of Land Displacement Utilizing Sentinel-1 Satellite Imagery and InSAR Technique: A Case Study in Kern County, California by Javad Hatamiafkoueieh

“…This study investigates patterns of land displacement in Kern County, California, using Sentinel-1 satellite imagery and the Interferometric Synthetic Aperture Radar (InSAR) technique. A time-series analysis was performed to examine the temporal evolution of land displacement using the Small Baseline Subset (SBAS-InSAR) approach. …”
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The integration and innovative practice of intelligent AI and local opera in college teaching by Chunying Li

“…These results suggest that there were significant increases in the AI-enhanced cohort in opera performance competencies (Δ = 13.6, p < 0.001); retention of cultural knowledge (Δ = 15.5, p < 0.001), and overall engagement levels (r = 0.73, p < 0.001). Time series analysis revealed nonlinear learning trajectories, with participants showing greatest gains during the intervention’s midpoint. …”
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Feature selection and data‐driven model for predicting the remaining useful life of lithium‐ion batteries by Yuhao Zhang, Yunfei Han, Tao Cai, Jia Xie, Shijie Cheng

“…This paper employs a time series analysis of discharge capacity/voltage curves to perform feature predication. …”
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Dynamic effects and information quantifiers of statistical memoryof MEG's signals at photosensitive epilepsy by R. M. Yulmetyev, E. V. Khusaenova, D. G. Yulmetyeva, P. Hänggi, S. Shimojo, K. Watanabe, J. Bhattacharya

“…The time series analysis of magnetoencephalographic (MEG) signalsis very important both for basic brain research and for medicaldiagnosis and treatment. …”
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