Results 21 to 30 of about 411,481 (262)
Time Series Prediction on Population Dynamics [PDF]
E3S Web of ConferencesPredicting the time series is a challenging topic mainly on the era of big data. In this research, data taken from population dynamics of one dimension of logistic map with various parameters that leading the system into chaos.
Dwipayana I. Made Eka
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PREDICTION OF LONG-TERM SENTINEL-1 INSAR TIME SERIES ANALYSIS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 This paper presents an initial analysis of predicting time series derived from long-term interferometric Synthetic Aperture Radar (InSAR) data. Time series analysis provides insights into the temporal evolution, variation, and dynamic nature of events ...
S. Abdikan +7 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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Technology investigation on time series classification and prediction [PDF]
PeerJ Computer Science, 2022 Time series appear in many scientific fields and are an important type of data. The use of time series analysis techniques is an essential means of discovering the knowledge hidden in this type of data.
Yuerong Tong +9 more
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GAN-Based Prediction of Time Series [PDF]
, 2021 The study aims at generating initial and directional insights in the applicability of conditional recurrent generative adversarial nets for the imputation and forecasting of medical time series data. Our experiment with blood pressure series showed that a generative recurrent autoencoder exhibits significant individual learning progress but needs ...
Sven Festag, Cord Spreckelsen
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Time Series Prediction for Food Sustainability
SSRN Electronic Journal, 2022 With exponential growth in the human population, it is vital to conserve natural resources without compromising on producing enough food to feed everyone. Doing so can improve people's livelihoods, health, and ecosystems for the present and future generations. Sustainable development, a paradigm of the United Nations, is rooted in food, crop, livestock,
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Gender Prediction by Gait Analysis Based on Time Series Variation of Joint Positions [PDF]
Journal of Systemics, Cybernetics and Informatics, 2015 In this paper, a novel gender prediction scheme based on a gait analysis is proposed. For the gait analysis, we propose a novel feature extraction scheme that uses the time series vari- ation in the joint positions directly. Here, normalization by linear
Ryusuke Miyamoto, Risako Aoki
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Time series prediction using artificial neural networks
Ciencias Marinas, 2002 In this work, artificial neural network (ANN) algorithms were used to predict time series of the oceanographic variables Southern Oscilation Index (SOI) and sea surface temperature anomaly (SSTA).
MA Pérez-Chavarría +2 more
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A combined robust fuzzy time series method for prediction of time series [PDF]
Neurocomputing, 2017 Outlier(s) have an adverse impact on the performance of fuzzy time series models.We proposed a combined robust fuzzy time series model (C-R-FTSM).C-R-FTSM uses fuzzy inputs composed of membership values as well as the crisp data.Training process of C-R-FTSM is performed by PSO in a single optimization process.Huber's loss function based on M estimator ...
Ozge Cagcag Yolcu, Hak-Keung Lam
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Is Time‐Series‐Based Predictability Evident in Real Time?* [PDF]
The Journal of Business, 2001 We show that out-of-sample tests used in the time-series predictability literature may suffer from test-size problems related to the common practice of exogenous specification of critical parameters, such as the choice of predictive variables, traded assets, and in-sample estimation periods. We perform specification searches across these parameters and
Michael Cooper, Huseyin Gulen
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