A Comparative Evaluation of Self-Attention Mechanism with ConvLSTM Model for Global Aerosol Time Series Forecasting
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- Dušan P. Nikezić & Uzahir R. Ramadani & Dušan S. Radivojević & Ivan M. Lazović & Nikola S. Mirkov, 2022. "Deep Learning Model for Global Spatio-Temporal Image Prediction," Mathematics, MDPI, vol. 10(18), pages 1-15, September.
- Nebojsa Bacanin & Miodrag Zivkovic & Catalin Stoean & Milos Antonijevic & Stefana Janicijevic & Marko Sarac & Ivana Strumberger, 2022. "Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering," Mathematics, MDPI, vol. 10(22), pages 1-31, November.
- Nebojsa Bacanin & Ruxandra Stoean & Miodrag Zivkovic & Aleksandar Petrovic & Tarik A. Rashid & Timea Bezdan, 2021. "Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization," Mathematics, MDPI, vol. 9(21), pages 1-33, October.
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- Dušan P. Nikezić & Dušan S. Radivojević & Ivan M. Lazović & Nikola S. Mirkov & Zoran J. Marković, 2024. "Transfer Learning with ResNet3D-101 for Global Prediction of High Aerosol Concentrations," Mathematics, MDPI, vol. 12(6), pages 1-11, March.
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Keywords
self-attention; ConvLSTM; spatio-temporal time-series image prediction; particle swarm optimization; aerosol optical thickness; Kruskal-Wallis H Test;All these keywords.
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