Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366978716> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4366978716 abstract "All across the world, forecasting the weather is a difficult task. Some of the factors that are utilized to anticipate the weather are the movement of air and clouds in the sky as well as historical weather patterns, changes in air pressure as well as the usage of computer models. Artificial Neural Network (ANN), Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) have all been proposed by researchers. This study uses a sliding window approach to make predictions. In order to use a neural network, the first step is to format and prepare the data for use. Using a variety of windows, the second phase computes the results month by month, week by week, and even day by day in order to ensure the findings are accurate. Before finalization, hyperparameter tuning is utilized to select the best window for enhanced prediction. According to the study’s findings, the method used to predict weather patterns looks to be extremely successful." @default.
- W4366978716 created "2023-04-27" @default.
- W4366978716 creator A5017597067 @default.
- W4366978716 creator A5038987060 @default.
- W4366978716 creator A5054993250 @default.
- W4366978716 creator A5079228603 @default.
- W4366978716 date "2023-03-23" @default.
- W4366978716 modified "2023-09-30" @default.
- W4366978716 title "LSTM with Bayesian Slide Optimization for Time Series Forecasting in Real Time" @default.
- W4366978716 cites W2014250782 @default.
- W4366978716 cites W2076063813 @default.
- W4366978716 cites W2083743422 @default.
- W4366978716 cites W2084068786 @default.
- W4366978716 cites W2127842029 @default.
- W4366978716 cites W2150198213 @default.
- W4366978716 cites W2794259165 @default.
- W4366978716 cites W2808519342 @default.
- W4366978716 cites W2894821558 @default.
- W4366978716 cites W2896761929 @default.
- W4366978716 cites W2940914091 @default.
- W4366978716 cites W2972664419 @default.
- W4366978716 cites W2998772552 @default.
- W4366978716 cites W3012211791 @default.
- W4366978716 cites W3022643593 @default.
- W4366978716 cites W4205542731 @default.
- W4366978716 doi "https://doi.org/10.1109/icscds56580.2023.10104650" @default.
- W4366978716 hasPublicationYear "2023" @default.
- W4366978716 type Work @default.
- W4366978716 citedByCount "0" @default.
- W4366978716 crossrefType "proceedings-article" @default.
- W4366978716 hasAuthorship W4366978716A5017597067 @default.
- W4366978716 hasAuthorship W4366978716A5038987060 @default.
- W4366978716 hasAuthorship W4366978716A5054993250 @default.
- W4366978716 hasAuthorship W4366978716A5079228603 @default.
- W4366978716 hasConcept C102392041 @default.
- W4366978716 hasConcept C107673813 @default.
- W4366978716 hasConcept C108583219 @default.
- W4366978716 hasConcept C111919701 @default.
- W4366978716 hasConcept C119857082 @default.
- W4366978716 hasConcept C121332964 @default.
- W4366978716 hasConcept C124101348 @default.
- W4366978716 hasConcept C127413603 @default.
- W4366978716 hasConcept C136197465 @default.
- W4366978716 hasConcept C147168706 @default.
- W4366978716 hasConcept C151406439 @default.
- W4366978716 hasConcept C153294291 @default.
- W4366978716 hasConcept C154945302 @default.
- W4366978716 hasConcept C201995342 @default.
- W4366978716 hasConcept C21001229 @default.
- W4366978716 hasConcept C2778751112 @default.
- W4366978716 hasConcept C2780451532 @default.
- W4366978716 hasConcept C41008148 @default.
- W4366978716 hasConcept C50644808 @default.
- W4366978716 hasConcept C81363708 @default.
- W4366978716 hasConcept C8642999 @default.
- W4366978716 hasConceptScore W4366978716C102392041 @default.
- W4366978716 hasConceptScore W4366978716C107673813 @default.
- W4366978716 hasConceptScore W4366978716C108583219 @default.
- W4366978716 hasConceptScore W4366978716C111919701 @default.
- W4366978716 hasConceptScore W4366978716C119857082 @default.
- W4366978716 hasConceptScore W4366978716C121332964 @default.
- W4366978716 hasConceptScore W4366978716C124101348 @default.
- W4366978716 hasConceptScore W4366978716C127413603 @default.
- W4366978716 hasConceptScore W4366978716C136197465 @default.
- W4366978716 hasConceptScore W4366978716C147168706 @default.
- W4366978716 hasConceptScore W4366978716C151406439 @default.
- W4366978716 hasConceptScore W4366978716C153294291 @default.
- W4366978716 hasConceptScore W4366978716C154945302 @default.
- W4366978716 hasConceptScore W4366978716C201995342 @default.
- W4366978716 hasConceptScore W4366978716C21001229 @default.
- W4366978716 hasConceptScore W4366978716C2778751112 @default.
- W4366978716 hasConceptScore W4366978716C2780451532 @default.
- W4366978716 hasConceptScore W4366978716C41008148 @default.
- W4366978716 hasConceptScore W4366978716C50644808 @default.
- W4366978716 hasConceptScore W4366978716C81363708 @default.
- W4366978716 hasConceptScore W4366978716C8642999 @default.
- W4366978716 hasLocation W43669787161 @default.
- W4366978716 hasOpenAccess W4366978716 @default.
- W4366978716 hasPrimaryLocation W43669787161 @default.
- W4366978716 hasRelatedWork W2337926734 @default.
- W4366978716 hasRelatedWork W3130227562 @default.
- W4366978716 hasRelatedWork W3137262131 @default.
- W4366978716 hasRelatedWork W3206248117 @default.
- W4366978716 hasRelatedWork W4223905158 @default.
- W4366978716 hasRelatedWork W4283697347 @default.
- W4366978716 hasRelatedWork W4295309597 @default.
- W4366978716 hasRelatedWork W4304182771 @default.
- W4366978716 hasRelatedWork W4309113015 @default.
- W4366978716 hasRelatedWork W4311257506 @default.
- W4366978716 isParatext "false" @default.
- W4366978716 isRetracted "false" @default.
- W4366978716 workType "article" @default.