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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Road traffic crashes trends of severity and injuries in Osun state, Nigeria by Abayomi Afolayan, Adewole Oladele, Samson Olopade, Taiwo Adeoye

“…This includes the number of cases (fatal, serious, and minor), the number of people dead, and the number of people injured. Multivariate Time Series analysis shows that an average of 243 and 44 people were injured and killed, respectively, quarterly. …”
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Depth-specific soil moisture estimation in vegetated corn fields using a canopy-informed model: A fusion of RGB-thermal drone data and machine learning by Milad Vahidi, Sanaz Shafian, William Hunter Frame

“…This study harnesses time-series RGB-thermal imagery to assess soil moisture throughout various growth stages of corn, emphasizing depth-specific soil moisture estimation and time-series analysis of canopy information such as canopy structure and canopy spectral across growth stages. …”
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The Studies of Chlorogenic Acid Antitumor Mechanism by Gene Chip Detection: The Immune Pathway Gene Expression by Tian Yi Kang, Hua Rong Yang, Jie Zhang, Dan Li, Jie Lin, Li Wang, XiaoPing Xu

“…Differentially expressed genes screened out by time-series analysis, GO analysis, and pathway analysis, and four immune-related genes were selected for further confirmation using RT-qPCR. …”
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Empirical research on the evolution trend of heat and sentiment for emergencies by Shihong Wu, Wei Yu, Yanxia Zhao, Hongyan Li, Jiatong Wang, Weiyan Yang, Yue Lin

“…By utilizing the co-word network and Louvain algorithm for theme division, along with sentiment analysis constructed through time series analysis of sentiment value changes for various emergencies employing the naive Bayes method, the evolution of public opinion is comprehensively assessed. …”
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Detecting tropical freshly-opened swidden fields using a combined algorithm of continuous change detection and support vector machine by Ningsang Jiang, Peng Li, Zhiming Feng

“…The integration CCDC with SVM represents a novelty in combining time series analysis and machine learning techniques and helps monitor annual swidden agriculture in the tropics.…”
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Insights into mapping tropical primary wet forests in the Amazon Basin from satellite-based time series metrics of canopy stability by Brendan Mackey, Sonia Hugh, Tatiana Shestakova, Brendan M. Rogers, Ludmila Rattis

“…Disturbances such as fires are correlated with high levels of canopy instability. The time series analysis revealed prior land use impacts and the occurrence of otherwise unrecognized degraded forest. …”
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Comparative miRNAome combined with transcriptome and degradome analysis reveals a novel miRNA-mRNA regulatory network associated with starch metabolism affecting pre-harvest sprout... by Longqing Sun, Ting Zhao, Dandan Qin, Jing Dong, Daorong Zhang, Xifeng Ren

“…In order to further obtain candidate miRNAs, the different datasets of differentially expressed miRNAs were excavated by using differential-expression and time-series analysis. Combined with degradome data, the miRNA-mRNA networks analysis was performed after genome-wide screening of target genes, and then KEGG enrichment highlighted that the starch and sucrose metabolism pathway related to PHS was specifically enriched in an especial target-gene dataset derived from R12R18-HE miRNAs. …”
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Leveraging the McGeer Criteria to Estimate the Frequency of Inappropriate Antibiotic Prescribing for Urinary and Respiratory Tract Infections Relative to the Onset of the COVID-19... by Paulina M. Colombo, Ferris A. Ramadan, Dilsharan Kaur, Darunee Armenta, Peter P. Patterson, Katherine D. Ellingson

“…Logistic regression models identified predictors of inappropriate prescribing, and an interrupted time-series analysis (ITS) examined trends relative to the pandemic onset (11 March 2020) in Arizona. …”
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Time series forecasting techniques applied to hydroelectric generation systems by Julio Barzola-Monteses, Juan Gómez-Romero, Mayken Espinoza-Andaluz, Waldo Fajardo

“…Modeling sequential data over time has become an intensive and fast-growing research area. Time series analysis has many applications in the energy field. …”
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Air Quality, Atmospheric Variables and Spread of COVID-19 in Delhi (India): An Analysis by Abhishek Dutta, Wanida Jinsart

“…Abstract Based on a time series analysis of the criteria pollutants, meteorological parameters, and COVID-19 positive cases, this paper explores the impact of epidemic prevention and control actions on air quality for five different periods of COVID-19 outbreak in Delhi, India. …”
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Mixing Data Cube Architecture and Geo-Object-Oriented Time Series Segmentation for Mapping Heterogeneous Landscapes by Michel E. D. Chaves, Lívia G. D. Soares, Gustavo H. V. Barros, Ana Letícia F. Pessoa, Ronaldo O. Elias, Ana Claudia Golzio, Katyanne V. Conceição, Flávio J. O. Morais

“…Results indicate that, by combining GEOBIA and time series analysis (materialized by the multiresolution segmentation algorithm to derive spatiotemporal geo-objects of the MODIS data cube), representative training data collected after a quality control process, and the Support Vector Machine to classify the ARD, the overall accuracy was 0.95 and all users’ and producers’ accuracies were higher than 0.88. …”
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Examining associations between oral cancer mortality and economic development of 13 European countries: an ecological and correlational study by Klára Boruzs, Eszter Barbara Bán, Viktor Dombrádi, Gábor Bányai, Gergő József Szőllősi, Klára Bíró

“…Methods Aggregated data were collected from the European Health for All (HFA-DB) database until 2019 and analysed using second degree polynomial functions and correlation analyses, followed by time-series analysis involving vector autoregressive models. …”
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Implementing a closed loop clinical decision support system for sustainable preoperative care by José Luis Gracia Martínez, Bernadette Pfang, Miguel Ángel Morales Coca, Cristina Caramés Sánchez, Marta del Olmo Rodríguez, Marco Antonio Villegas García, Jorge Short Apellaniz, Javier Arcos Campillo, Juan Antonio Álvaro de la Parra, Florencia Manzano Lorefice, Luis Enrique Muñoz Alameda

“…We describe the effects of implementing a fully EHR-integrated closed-loop clinical decision support system (CDSS) for placing automatic preprocedural test orders at two teaching hospitals in Madrid, Spain. Interrupted time series analysis was performed to evaluate changes in rates of preoperative testing after CDSS implementation, which took place from September 2019 to December 2019. …”
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Prevalence of Malaria among Adults in Ethiopia: A Systematic Review and Meta-Analysis by Fasil Adugna Kendie, Tamirat Hailegebriel W/kiros, Endalkachew Nibret Semegn, Melaku Wale Ferede

“…The pooled prevalence estimates with 95% confidence interval were analyzed using a random-effect model, and the possible source of heterogeneity across studies was indicated through subgroup analysis, inverse of variance (I2), and time series analysis. The presence of publication bias was evaluated using funnel plots and Egger’s regression test. …”
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Detection and interpretation of the time-varying seasonal signals in China with multi-geodetic measurements by Liansheng Deng, Yugang Xiao, Qusen Chen, Wei Peng, Zhao Li, Hua Chen, Zhiwen Wu

“…The time-varying periodic variations in Global Navigation Satellite System (GNSS) stations affect the reliable time series analysis and appropriate geophysical interpretation. …”
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Analysis of the 2016 – 2025 fiscal budget of U.S. Centers for Disease Control and Prevention by Nana LIU, Lieyu HUANG, Yuan DANG, Zekai YU, Qianqiu LIU, Yan GUO

“…MethodsBased on the fiscal budget report data from 2016 to 2025 published on the official website of the CDC, descriptive statistical methods such as time series analysis, structural comparison, and trend analysis were used to understand the CDC′s funding input and allocation in the field of public health from 2016 to 2025. …”
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