Results 11 to 20 of about 8,462,031 (305)

Combined Long Short-Term Memory Network-Based Short-Term Prediction of Solar Irradiance

International Journal of Photoenergy, 2022
Achieving the highly accurate and generic prediction of solar irradiance is arduous because solar irradiance possesses intermittent randomness and is influenced by meteorological parameters.
Manoharan Madhiarasan, Mohamed Louzazni
doaj   +2 more sources

Accuracy of a Computer Software in Short Term Growth Prediction

Turkish Journal of Orthodontics, 2006
In this research, it was aimed to evaluate the reliability of “Vistadent Image Management System (VIMS)” computer program in the usage of two year short-term growth prediction for various skeletal malocclusions, comparatively.
Önder Kızıldağ, M. Serdar Toroğlu, Mustafa Kayalıoğlu, İlter Uzel   +3 more
doaj   +2 more sources

ANALYSIS AND COMPARISON OF LONG SHORT-TERM MEMORY NETWORKS SHORT-TERM TRAFFIC PREDICTION PERFORMANCE [PDF]

Scientific Journal of Silesian University of Technology. Series Transport, 2020
Long short-term memory networks (LSTM) produces promising results in the prediction of traffic flows. However, LSTM needs large numbers of data to produce satisfactory results.
Erdem DOGAN
doaj   +2 more sources

Improved LSTM Method of Predicting Cryptocurrency Price Using Short-Term Data

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023
As cryptocurrencies develop, it cannot be denied that crypto prices are volatile. One of the influencing factors is the increasing volume of transactions which attracts the interest of researchers to conduct research in developing coin price predictions ...
Risna Sari, Kusrini Kusrini, Tonny Hidayat, Theofanis Orphanoudakis   +3 more
doaj   +1 more source

Novel robust time series analysis for long-term and short-term prediction. [PDF]

Sci Rep, 2021
Nonlinear phenomena are universal in ecology. However, their inference and prediction are generally difficult because of autocorrelation and outliers.
Okamura H, Osada Y, Nishijima S, Eguchi S.   +3 more
europepmc   +2 more sources

Prediphant: Short Term Heavy User Prediction

2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), 2022
Traffic prediction is of paramount importance for the correct management of network infrastructures. Most research efforts try to forecast the aggregated traffic over the network and over large time windows. In this work, we tackle the problem the other way around. That is, we predict the behaviour of individual users over short time windows. First, we
Sanvito, Davide, Siracusano, Giuseppe, Gonzalez, Roberto, Bifulco, Roberto   +3 more
openaire   +2 more sources

Short-Term Traffic Speed Prediction Using Hybrid LSTM-SVR Model

, 2023
Traffic speed prediction uses historical data to model traffic patterns and generates forecasts for future steps. As the number of vehicles surges significantly, traffic congestion could negatively affect the quality of life, human health, and the ...
Vu, VH, Ren, Z, Jo, J, Quach, KND, Nguyen, TT, Tran, KV, Chun, Y, Khang Nguyen Duc Quach, Yongsik Chun, Jun Jo, Zhao Ren, Viet Hung Vu, Thanh Tam Nguyen, Khiem Vinh Tran   +13 more
core   +1 more source

Satellite remote-sensing capability to assess tropospheric-column ratios of formaldehyde and nitrogen dioxide: case study during the Long Island Sound Tropospheric Ozone Study 2018 (LISTOS 2018) field campaign [PDF]

Atmospheric Measurement Techniques, 2023
Satellite retrievals of tropospheric-column formaldehyde (HCHO) and nitrogen dioxide (NO2) are frequently used to investigate the sensitivity of ozone (O3) production to emissions of nitrogen oxides and volatile organic carbon compounds. This study inter-
M. S. Johnson, A. H. Souri, S. Philip, R. Kumar, A. Naeger, J. Geddes, L. Judd, S. Janz, H. Chong, J. Sullivan   +9 more
doaj   +1 more source

The Short Term Prediction of Analysts' Forecast Error [PDF]

SSRN Electronic Journal, 2012
We examine the profitability of implementing a short term trading strategy based on predicting the error in analysts' earnings per share forecasts using publicly available information. In the 1998-2010 I/B/E/S data, the strategy of taking a long (short) position in stocks with the most pessimistic (optimistic) consensus forecast and closing the ...
Boudt, Kris, De Goeij, Peter, Thewissen, James, Van Campenhout, Geert   +3 more
openaire   +2 more sources

Optimized Forecasting Model to Improve the Accuracy of Very Short-Term Wind Power Prediction

, 2023
This article proposes a novel framework to improve the prediction accuracy of very short-term (5-min) wind power generation. The framework consists of complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), monarch butterfly ...
Gray, Evan, Alam, Md Shafiul, Islam, MR, Md Rabiul Islam, Pota, HR, Md Shafiul Alam, Lu, J, Hossain, Md Alamgir, Hemanshu Roy Pota, Lu, Junwei, Islam, Md Rabiul, Md Alamgir Hossain, Chakrabortty, R, Evan Gray, Ripon Chakrabortty, Alam, MS, Hossain, MA, Pota, Hemanshu Roy, Chakrabortty, Ripon, Junwei Lu, Gray, E   +20 more
core   +1 more source