Results 261 to 270 of about 757,673 (309)

Integrated deep learning-driven multi-stage steam forecasting and scheduling optimization for converter energy systems. [PDF]

Sci Rep
Hu Y, Huang B, Gao C, Xu R, Hu X.
europepmc   +1 more source

Enhancing the pricing efficiency of financial assets with an optimized bayesian network based on efficient fusion. [PDF]

PLoS One
Fu Q, Li X.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Dynamic Seasonality in Time Series

SSRN Electronic Journal, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mike K. P. So, Ray S. W. Chung
openaire   +2 more sources

Weighted Dynamic Time Warping for Time Series

International Journal of Bifurcation and Chaos, 2023
Recurrence network is a typical time series analysis method. However, irregular sampling may overshadow the dynamic features characterized by traditional recurrence network method, which makes the method ineffective. This paper introduces dynamic time warping method to determine the distance between time series segments.
Guangyu Yang, Shuyan Xia
openaire   +2 more sources

Dynamic aggregation for time series forecasting

2015 IEEE International Conference on Big Data (Big Data), 2015
The proliferation of data has led to demand sensing and shaping at the most granular product and geography levels. This has led to a need to optimize tens and many times hundreds of millions of geography product treatments on a weekly basis. The amount of data has overwhelmed the ability to monitor individual recommendations, even by exception. In this
Sam Iosevich, Georgiy Arutyunyants, Z. Hou   +2 more
openaire   +1 more source

Generalized series dynamic imaging

Proceedings International Workshop on Medical Imaging and Augmented Reality, 2002
Many imaging applications require the acquisition of a time series of images. In conventional Fourier transform-based imaging methods, each of these images is acquired independently. As a result, the temporal resolution possible is limited by the number of data points collected for each data set, or one often was to sacrifice spatial resolution for ...
openaire   +1 more source

Series of Dynamic Targeted Recommendations

2002
Merchants often use marketing elements such as advertisements, coupons and product recommendations, to attract customers and to convert visitors to buyers. We present a model for making a series of recommendations during a customer session. The model comprises of the customer's probability of accepting a marketing element from a marketing spot and a ...
Natwar Modani, Parul A. Mittal, Amit Anil Nanavati, Biplav Srivastava   +3 more
openaire   +1 more source

Molecular Dynamics Simulation of nCB series

AIP Conference Proceedings, 2007
This study describes the molecular dynamics (MD) simulations of the 4‐n‐alkyl‐4′‐cyanobiphenyl (nCB, n=5–9) liquid crystal homologous series at a selected temperature in the nematic phase. The order parameters and the biaxialities for five mesogens were found to be reasonable agreement with experiments.
Capar, M. Ilk, Cebe, E.
openaire   +3 more sources

Time Series and Dynamic Models

Journal of the American Statistical Association, 1998
Preface 1. Introduction Part I. Traditional Methods: 2. Linear regression for seasonal adjustment 3. Moving averages for seasonal adjustment 4. Exponential smoothing methods Part II. Probabilistic and Statistical Properties of Stationary Processes: 5. Some results on the univariate processes 6. The Box and Jenkins method for forecasting 7. Multivariate
Errol Caby, Christian Gourieroux, Alain Monfort   +2 more
openaire   +2 more sources