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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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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Fractal-Based Robotic Trading Strategies Using Detrended Fluctuation Analysis and Fractional Derivatives: A Case Study in the Energy Market by Ekaterina Popovska, Galya Georgieva-Tsaneva

“…This paper presents an integrated robotic trading strategy developed for the day-ahead energy market that includes different methods for time series analysis and forecasting, such as Detrended Fluctuation Analysis (DFA), Rescaled Range Analysis (R/S analysis), fractional derivatives, Long Short-Term Memory (LSTM) Networks, and Seasonal Autoregressive Integrated Moving Average (SARIMA) models. …”
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How do events shape the media agenda on Islam and Muslims in Western Europe? An analysis of news events in Germany, the UK and France (2000–2020) by Liriam Sponholz, Anna-Maria Meuth

“…This database permitted a time series analysis to determine a) when the issues of Islam and Muslims received (no) attention and b) what events led to the “ups” or peaks in attention. …”
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Modeling PM2.5 Urban Pollution Using Machine Learning and Selected Meteorological Parameters by Jan Kleine Deters, Rasa Zalakeviciute, Mario Gonzalez, Yves Rybarczyk

“…The high correlation between estimated and real data for a time series analysis during the wet season confirms this finding. …”
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Deep Recurrent Model for Server Load and Performance Prediction in Data Center by Zheng Huang, Jiajun Peng, Huijuan Lian, Jie Guo, Weidong Qiu

“…Recurrent neural network (RNN) has been widely applied to many sequential tagging tasks such as natural language process (NLP) and time series analysis, and it has been proved that RNN works well in those areas. …”
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Predictive Analytics of In-Service Bridge Structural Performance from SHM Data Mining Perspective: A Case Study by Qiwen Jin, Zheng Liu, Junchi Bin, Weixin Ren

“…The data mining methods proposed (distribution function, association analysis, and time-series analysis) are employed for the analysis and prediction of structural response and deterioration extent. …”
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Preventing suicide by restricting access to Highly Hazardous Pesticides (HHPs): A systematic review of international evidence since 2017. by Bruna Rubbo, Chao-Ying Tu, Lucy Barrass, Shu-Sen Chang, Flemming Konradsen, David Gunnell, Michael Eddleston, Chris Metcalfe, Duleeka Knipe

“…Only five studies assessed overall suicides; of those, four reported decreases in overall suicide rates following the intervention, of which three used time series analysis (range 7.0% to 45.1%). Only one study had a low risk of bias in all domains, with five studies having high risk of bias in at least one of the domains. …”
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Wearable Power Assistant Robot Sensor Signal Prediction Algorithm and Controller Design by Gang Li, Guoheng Ren

“…In order to improve the dynamic response frequency of the wearable robotic perception system, a sensor signal based on time series analysis is proposed. The online prediction algorithm, which can perform single-step or multistep prediction under the premise of ensuring certain accuracy, can multiply the dynamic response frequency of the wearable-assisted robot sensing system to ensure the real-time performance of the whole system. …”
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Riding Through the Pandemic: Unveiling Motorcycle Crash Trends Amidst Three Years of the COVID-19 Crisis by Shahrin Islam, Armana Sabiha Huq, Sadab Ishraq Khan, Sabah Hossain Iqra

“…The impacts of the pandemic on motorcycle-related road traffic crashes, injuries, and fatalities in Bangladesh are investigated in this study using ARIMA time series analysis. Data spanning 86 months (January 2016 to February 2023) were collected from the Accident Research Institute (ARI), which compiles newspaper-based data serving as an alternative source of information on crashes encompassing both pre-COVID (January 2016 to February 2020) and COVID-19 periods (March 2020 to February 2023). …”
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A Study on the Dependency Between Selected Global Stock Markets and Gold and Silver Futures by Ozan Kaymak

“…Specifically, the study seeks to analyze the potential cointegration and the effects of gold and silver futures returns on the returns of selected global stock markets using time-series analysis. The potential relationships between the monthly returns of selected global stock indices and the monthly returns of gold and silver futures were analyzed for the period from January 2014 to May 2024 using the Autoregressive Distributed Lag (ARDL) Bound Test method. …”
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On the Investigation of State Space Reconstruction of Nonlinear Aeroelastic Response Time Series by Flávio D. Marques, Eduardo M. Belo, Vilma A. Oliveira, José R. Rosolen, Andréia R. Simoni

“…Dynamic systems techniques based on time series analysis can be adequately applied to non-linear aeroelasticity. …”
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Nonlinear time series prediction algorithm based on AD-SSNET for artificial intelligence–powered Internet of Things by Banteng Liu, Wei Chen, Meng Han, Zhangquan Wang, Ping Sun, Xiaowen Lv, Jiaming Xu, Zegao Yin

“…Experimental results show that the proposed nonlinear time series prediction algorithm extends the feasible range of spectral radii of the reservoir, improves the prediction accuracy of nonlinear time series, and has great significance to time series analysis in the era of wireless Internet of Things.…”
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Predviđanje razvoja povrtarstva u Republici Srpskoj (Forecasting of Vegetable Production in Republic of Srpska) by Beba Mutavdžic, Ljiljana Drinic, Nebojša Novković, Aleksandar Ostojić, Gordana Rokvic

“…The prediction is based on modern quantitative methods, specifically applied the method of time series analysis , and used the appropriate ARIMA models.The form choice of the model is the result of qualitative analysis and statistical criteria. …”
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Assessing Driving Risk Level: Harnessing Deep Learning Hybrid Model With Intercity Bus Naturalistic Driving Data by Wei-Hsun Lee, Che-Yu Chang

“…This study advances the field by developing a deep learning hybrid model for time series analysis to categorize driving risks into low, moderate, and high levels. …”
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AtOMICS: a deep learning-based automated optomechanical intelligent coupling system for testing and characterization of silicon photonics chiplets by Jaime Gonzalo Flor Flores, Jim Solomon, Connor Nasseraddin, Talha Yerebakan, Andrey B Matsko, Chee Wei Wong

“…The presented approach combines state-of-the-art computer vision techniques with time-series analysis, to control a testing setup that can process multiple devices and be quickly tuned to incorporate additional hardware. …”
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Transcriptome-based insights into the calcium transport mechanism of chick chorioallantoic membrane by Qun Huang, Ran Yang, Qia Wang, Hui Teng, Hongbo Song, Fang Geng, Peng Luo

“…Functional enrichment analysis of DEGs showed that CAM DEGs were mainly involved in biological processes such as “ion transport regulation”, “immune response” and “cell cycle”. Time series analysis of the differential genes showed that the functional cells of CAM began to proliferate and differentiate at E9 and the calcium content of egg embryo increased significantly at E13. …”
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Effect of a closed-loop medication order executive system on safe medication administration at a tertiary hospital: a quasi-experimental study by Xuwen Yin, Haiyan Song, Jieyu Lu, Jing Yang, Rong Wang, Zheng Lin, Shudi Jiang, Hui Yuan, Xumei Wang, Dongmei Xu, Chunhong Gao, Yuan Zhou, Jiayi Xu, Chen Chen, Chenyu Gu, Qingqing Diao, Fang Li, Zejuan Gu

“…The autoregressive integrated moving average (ARIMA) model in time-series analysis was used to evaluate the level and trend changes in ME rates using SPSS 25.0 before and after system implementation. …”
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