Results 1 to 10 of about 45 (43)
Capturing asymmetry in COVID-19 counts using an improved skewness measure for time series data [PDF]
Capturing asymmetry among time series is an important area of research as it provides a range of information regarding the behaviour and distribution of the underlying series, which in turn proves to be useful for prediction.
Sudeep R. Bapat
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The COVID-19 pandemic recently caused a huge impact on India, not only in terms of health but also in terms of economy. Understanding the spatio-temporal patterns of the disease spread is crucial for controlling the outbreak.
Rana Kanav Singh, Kumari Nitu
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Analyzing and forecasting financial series with singular spectral analysis
Modern techniques for managing multidimensional stochastic processes that reflect the dynamics of unstable environments are proactive, which refers to decision making based on forecasting the system’s state vector evolution.
Makshanov Andrey +2 more
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Data analysis-based time series forecast for managing household electricity consumption
Recently, electricity consumption forecasting has attracted much research due to its importance in our daily life as well as in economic activities. This process is seen as one of the ways to manage future electricity needs, including anticipating the ...
Bezzar Nour El-Houda +3 more
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A statistical study of COVID-19 pandemic in Egypt
The spread of the COVID-19 started in Wuhan on December 31, 2019, and a powerful outbreak of the disease occurred there. According to the latest data, more than 165 million cases of COVID-19 infection have been detected in the world (last update May 19 ...
Radwan Taha
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On the Complex and Chaotic Dynamics of Standard Logistic Sine Square Map
In this article, we set up a new nonlinear dynamical system which is derived by combining logistic map and sine square map in Mann orbit (a two step feedback process) for ameliorating the stability performance of chaotic system and name it Standard ...
Kumari Sudesh +2 more
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Social Media Impact on the ‘Cosmos’ Blockchain Ecosystem: State and Prospect
The proliferation of blockchain technology heralds transformative impacts across various sectors, offering decentralization, transparency, and enhanced security.
Ivan Pavlyshyn +4 more
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A hybrid method for accurate offset detection in GNSS time series
This study addresses the crucial detection of offsets in GNSS time series for accurate velocity estimations, vital in geosciences and engineering. Existing methods are challenged by correlated noise and can suffer from over-segmentation or high false ...
Arias-Gallegos Alejandro +2 more
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Gronwall-type integral inequalities with impulses on time scales
In this article, some Gronwall-type integral inequalities with impulses on time scales are investigated. Our results extend some known dynamic inequalities on time scales, unify and extend some continuous inequalities and their corresponding discrete ...
Kang Ying +4 more
doaj
Mathematical analysis of a cancer model with time-delay in tumor-immune interaction and stimulation processes. [PDF]
Dehingia K +3 more
europepmc +1 more source

