0% Complete
Home
/
14th International Conference on Computer and Knowledge Engineering
Forecasting El Niño Six Months in Advance Utilizing Augmented Convolutional Neural Network
Authors :
Mohammad Naisipour
1
Iraj Saeedpanah
2
Arash Adib
3
Mohammad Hossein Neisi Pour
4
1- Department of Civil Engineering, Faculty of Engineering, University of Zanjan, Iran.
2- Department of Civil Engineering, Faculty of Engineering, University of Zanjan, Iran.
3- Department of Civil Engineering Civil Engineering and Architecture Faculty Shahid Chamran University of Ahvaz, Iran
4- Department of Computer Engineering. Sharif University of Technology. Tehran, Iran
Keywords :
ACNN،El Niño،Forecast،SST،Augmentation
Abstract :
The ability of predicting climate phenomena enables international organization and governments to manage natural disasters such as droughts. El Niño Sothern Oscillation (ENSO) is one the most influential and crucial phenomenon follows with large scale climatic events and can be used for predicting droughts and floods in different parts of the earth. Due to such a great importance, a new Convolutional Neural Network method based on augmented data (ACNN) for predicting ENSO on a relatively long period is developed in this research. The method is developed based on CNN to forecast ENSO six month earlier. Sea Surface Temperature (SST) anomaly maps are given to the model as the predictors and Niño 3.4 Index is the predictand. The method applies convolutional tensors to extract features from the maps, and delivers them to a fully connected neural network to discover connections between Niño Index and the features. A tricky augmentation process is used to increase the number of input data to compensate lack of observations. The model represents reliable prediction as it compared with observations for a long period to ensure the validity and reliability of the method. The relatively low computation cost of the method makes it a great tool for predicting ENSO and its following consequences even for related institutions in low income countries.
Papers List
List of archived papers
Computational Microscopy Based on Fourier Ptychography using Embedded Architecture
Rezvan Mir - Abedin Vahedian
MultiPath ViT OCR: A Lightweight Visual Transformer-based License Plate Optical Character Recognition
Alireza Azadbakht - Saeed Reza Kheradpisheh - Hadi Farahani
A New Inter-layer Similarity metric for link prediction in multilayer networks
Alireza Abdollahpouri - Samira Rafiee
InfOnto: An ontology for fashion influencer marketing based on Instagram
Somaye Sultani - Mohsen Kahani
African Vultures Optimization Algorithm for Optimal Damping Controllers Design in the Electrical Power Grid System
Aliyu Sabo - Theophilus Ebuka Odoh - Samuel Habu - Hossein Shahinzadeh - Farshad Ebrahimi
BioBERT-based SNP-traits Associations Extraction from Biomedical Literature
Mohammad Dehghani - Behrouz Bokharaeian - Zahra Yazdanparast
FGM Copula based Analysis of Coverage Region for Wireless Three-User Multiple Access Channel with Correlated Channel Coefficients
Mona Sadat Mohsenzadeh - Ghosheh Abed Hodtani
Adversarial Robustness Evaluation with Separation Index
Bahareh Kaviani Baghbaderani - Afsaneh Hasanebrahimi - Ahmad Kalhor - Reshad Hosseini
Predicting the Recovery Rate of COVID-19 Using a Novel Hybrid Method
Fatemeh Ahouz - Ebrahim Sayahi
Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models
Fatemeh Fouladi - Ali Rostami - Hedieh Sajedi
more
Samin Hamayesh - Version 41.7.6