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Keyword: Time-series forecastingOpen AccessArticle
15 Pages, 1,070 KB 
On the Ensemble of Recurrent Neural Network for Air Pollution Forecasting: Issues and Challenges
Abstract:
Time-series is a sequence of observations that are taken sequentially over time. Modelling a system that generates a future value from past observations is considered as time-series forecasting system. Recurrent neural network is a machine learning method that is widely used in the prediction of future values. Due to variant improvements on recurrent neural networks,…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
6 Pages, 2,007 KB
Proposal and Implementation of Seawater Temperature Prediction Model using Transfer Learning Considering Water Depth Differences
Abstract:
Aquaculture is one of the most important industries worldwide, and most marine products are produced by aquaculture. On the other hand, the aquaculture farmers are faced on the challenge of damage to marine products due to abnormal seawater temperatures. Research on seawater temperature prediction have been conducted, but many of them require a large amount…
Read More(This article belongs to the SP16 (Special Issue on Computing, Engineering and Multidisciplinary Sciences 2024) & Section Marine Engineering (EMR))