Results 61 to 70 of about 13,873,042 (261)
ML‐Assisted Adaptive Fade Mitigation for Satellite Connectivity
International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT The demand for reliable and high‐quality wireless networks driven by resource‐intensive applications and services is growing rapidly and invoked the emergence of beyond 5G (B5G) and 6G paradigm and technologies which include satellite systems as part of the nonterrestrial networks (NTN).
Jinwara Surattanagul +4 more
wiley +1 more source
ARMA model for random periodic processes [PDF]
, 2018 In this thesis, we construct ARMA model for random periodic processes. We stress on the mixed periodicity and randomness of the model and redefined the definition of sample autocovariance function.
Yujia Liu (1250571)
core +1 more source
Sustainable Development, EarlyView.ABSTRACT Over recent decades, action‐oriented research has gained prominence in co‐producing actionable knowledge to drive transformative change toward sustainability. However, further methodological developments are needed to support the transition to the application phase of such knowledge.
María D. López‐Rodríguez +7 more
wiley +1 more source
A Comparative APARCH Volatility Study of International Markets
EconomiesThis paper compares the daily return volatility by four leading international indices: JSE Top 40, FTSE 100, Nikkei 225 and S&P/ASX 200. The return series are modelled in ARMA process, where ARMA(1,3) values are taken for JSE Top 40 and S&P/ASX 200, ARMA(
Fhulufhedzani Justice Madega +3 more
doaj +1 more source
Systems Research and Behavioral Science, EarlyView.ABSTRACT Effective collaboration through demand information sharing is essential for supply chain performance. However, growing system complexity often hinders equal information access among firms. This study employs system dynamics models to compare scenarios with and without information sharing, investigating how various types of external supply ...
Hyun‐Woong Jin
wiley +1 more source
Prediction and Analysis of Meteorological Drought Based on Time Series(Case Study: SALMAS Watershed) [PDF]
محیط زیست و مهندسی آب, 2016 Time series analyses is a base method for more decisions about hydrological process and water operation. In Iran, drought is a continues and normal condition happening frequently and can be predicted by statistical and mathematical methods and models. In
Motaleb Byzedi +2 more
doaj
, 1998 Publication in the conference proceedings of EUSIPCO, Rhodes, Greece ...
David Declercq +2 more
openaire +3 more sources
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu +4 more
wiley +1 more source
ARMA Identification of Graphical Models
IEEE Transactions on Automatic Control, 2013 Consider a Gaussian stationary stochastic vector process with the property that designated pairs of components are conditionally independent given the rest of the components. Such processes can be represented on a graph where the components are nodes and the lack of a connecting link between two nodes signifies conditional independence. This leads to a
Enrico Avventi +2 more
openaire +3 more sources
ARMA Modelling of Sleep Spindles [PDF]
, 2011 Differences in EEG sleep spindles constitute a promising indicator of neurodegenerative disorders. In this paper an ARMA modelling to sleep spindles is proposed and tested. The primary objective is to distinguish, via poles and zeros location, between regular, elderly and dementia subjects.
João Caldas da Costa +2 more
openaire +2 more sources