“…The study implements the single-case experimental design with time series analysis that will be carried out in Italy and Mexico. …”
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“…These experimental designs generate large cardio-neural datasets that require sophisticated strategies for signal processing and time series analysis, while presenting the usual large-scale computational challenges surrounding data sharing and reproducibility. …”
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“…In this study, we implemented a remote sensing-based approach for monitoring abandoned agricultural land in the Yarmouk River Basin (YRB) in Southern Syria and Northern Jordan during the Syrian crisis. A time series analysis for the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Moisture Index (NDMI) was conducted using 1650 multi-temporal images from Landsat-5 and Landsat-8 between 1986 and 2021. …”
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“…In the quantitative analyses, we apply interrupted time series analysis and difference-in-differences analysis to data on antisocial behaviour derived from CCTV footage, and to police calls-for-service data. …”
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“…Time-series representation is the most important task in time-series analysis. One of the most widely employed time-series representation method is symbolic aggregate approximation (SAX), which converts the results from piecewise aggregate approximation to a symbol sequence. …”
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“…The proposed REDL, which is designed to be an adaptive learning algorithm, is tested on a PEMFC deterioration dataset and compared to its deep learning baseline version under time series analysis. Using multiple numeric and visual metrics, the results support the REDL learning scheme by showing promising performances.…”
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“…METHODS: We used interrupted time-series analysis to model trends in monthly suicides before COVID-19 (January 1, 2010 to March 31, 2020), comparing the expected number of suicides both overall and according to age and sex with the observed number of suicides for the remainder of 2020 (April 1, 2020 to December 31, 2020). …”
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“…The obtained results for the two classes of time series demonstrate that the Poincaré plot NDE provides a prospective tool for single-channel EEG time series analysis.…”
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“…Several machine learning, deep learning, and time series analysis techniques are exploited, but accuracy issues prevail. …”
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“…Results: During the study period, 6007 notifications of new cases of HIV/AIDS were reported. The time series analysis revealed a stabilized trend of incidence from 2007 to October 2016, followed by irregular fluctuations until the end of December 2018. …”
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“…The wavelet-based Granger causality (WGC) test accounts for the issue of multiple time scales in a time series analysis. Another uniqueness of the WGC lies in its resistance to distribution assumption and misspecification in a time series model. …”
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“…We used mumps surveillance data and meteorological data from all 47 prefectures of Japan from 1999 to 2020. A time-series analysis incorporating spectral analysis and the least-squares method was adopted. …”
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“…This study provides new ideas for carbon price prediction, which might have a theoretical and practical contributions to complex and non-linear time series analysis.…”
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“…We performed an interrupted time-series analysis to investigate the frequency of patients with CPP at our hospital from 2016 to 2021. …”
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“…Linear regression was performed for time series analysis and the mean rates in the period and mean annual percentage changes in the rates of HIV-infected pregnant women were calculated, children exposed to HIV during pregnancy, and seroconversion of children exposed to HIV/AIDS during pregnancy, in addition to data geoprocessing. …”
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“…To understand if this shift in healthcare provision has impacted on prescribing practices, we investigated antibiotic prescribing for upper respiratory tract infections (URTI) consultations METHODS: We conducted an interrupted time-series analysis using patient-level primary care data to assess the impact of the COVID-19 pandemic on consultations and antibiotic prescribing for URTI in England. …”
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“…Using data from between 2010 and 2020 and a series of interrupted time series analysis, we analyze 22,619 police petitions for involuntary commitment and their outcomes related to crisis center availability. …”
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“…The trend of online search activity and the time-lag correlations between it and daily new mpox cases were estimated by using segmented interrupted time-series analysis and Spearman correlation coefficient (rs), respectively. …”
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“…We used simple and mixed stimuli applications to identify biochemical responses and extract information from the electrical and hydraulic patterns. Time series analysis, comparing the conditions before and after the stimuli and the oxidative responses at local and systemic levels, detected changes in electrome and hydraulic signal profiles. …”
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“…The conference papers included in these proceedings, published post conference, were grouped into the following area of research: ·         Image, Text and Signal Processing Intelligent Transportation Modeling and Applications Biomedical Applications Neural Network and Applications Knowledge-Based Technologies for Web Applications, Cloud Computing, Security, Algorithms and Computer Networks Knowledge-Based Technologies Soft Computing Techniques for Time Series Analysis Soft Computing and Fuzzy Logic in Biometrics Fuzzy Applications Theory and Fuzzy Control Bussiness Process Management Methods and Applications in Electrical Engineering   The volumes provide useful information to professors, researchers and graduated students in area of soft computing techniques and applications, as they report new research work on challenging issues.                    .…”
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