Results 31 to 40 of about 397,119 (307)
Long Short-Term Memory Prediction for COVID19 Time Series
Telfor Journal, 2021 Entire world has been dealing with the number of new Coronavirus 2 or COVID-19 cases. The spread of this severe acute respiratory syndrome has produced many concerns worldwide.
M. S. Milivojević, A. Gavrovska
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Sequential Quantile Prediction of Time Series [PDF]
IEEE Transactions on Information Theory, 2011 Motivated by a broad range of potential applications, we address the quantile prediction problem of real-valued time series. We present a sequential quantile forecasting model based on the combination of a set of elementary nearest neighbor-type predictors called "experts" and show its consistency under a minimum of conditions.
Biau, Gérard, Patra, B.
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Chaotic Time Series Prediction Using Immune Optimization Theory [PDF]
International Journal of Computational Intelligence Systems, 2010 To solve chaotic time series prediction problem, a novel Prediction approach for chaotic time series based on Immune Optimization Theory (PIOT) is proposed.
Yuanquan Shi +6 more
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Fourier Graph Convolution Network for Time Series Prediction
Mathematics, 2023 The spatio-temporal pattern recognition of time series data is critical to developing intelligent transportation systems. Traffic flow data are time series that exhibit patterns of periodicity and volatility.
Lyuchao Liao +3 more
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Financial time series prediction using spiking neural networks. [PDF]
PLoS ONE, 2014 In this paper a novel application of a particular type of spiking neural network, a Polychronous Spiking Network, was used for financial time series prediction.
David Reid +2 more
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Applied Sciences, 2022 The Key Laboratory of Integrated Microsystems (IMS) of Peking University Shenzhen Graduate School has deployed a self-developed acoustic and electromagnetics to artificial intelligence (AETA) system on a large scale and at a high density in China to ...
Chenyang Wang +4 more
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Pathogenic Germline PALB2 and RAD50 Variants in Patients With Relapsed Ewing Sarcoma
Pediatric Blood &Cancer, EarlyView.ABSTRACT Approximately 10% of patients with Ewing sarcoma (EwS) have pathogenic germline variants. Here, we report two cases: first, a novel germline pathogenic variant in partner and localizer of BRCA2 (PALB2) in a patient with a late EwS relapse. Its impact on homologous recombination is demonstrated, and breast cancer risk is discussed.
Molly Mack +12 more
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Radial Basis Function Nets for Time Series Prediction [PDF]
International Journal of Computational Intelligence Systems, 2009 This paper introduces a novel ensemble learning approach based on recurrent radial basis function networks (RRBFN) for time series prediction with the aim of increasing the prediction accuracy. Standing for the base learner in this ensemble, the adaptive
Abdelhamid Bouchachia
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Temperature prediction using fuzzy time series [PDF]
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2000 A drawback of traditional forecasting methods is that they can not deal with forecasting problems in which the historical data are represented by linguistic values. Using fuzzy time series to deal with forecasting problems can overcome this drawback. In this paper, we propose a new fuzzy time series model called the two-factors time-variant fuzzy time ...
Chen, S. M., Hwang, J. R.
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül +2 more
wiley +1 more source