Hybrid optimized deep recurrent neural network for atmospheric and oceanic parameters prediction by feature fusion and data augmentation model

DOI10.1007/S10878-024-01159-1MaRDI QIDQ6571278

K. C. Tripathi, Sundeep Raj, Sandesh Tripathi, Rajendra Kumar Bharti

Publication date: 11 July 2024

Published in: Journal of Combinatorial Optimization (Search for Journal in Brave)

zbMATH Keywords

data augmentationdeep learningsoil moistureBray-Curtis distancetechnical indicators extraction

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Computational methods for problems pertaining to geophysics (86-08) Climate science and climate modeling (86A08)

Cites Work

• Novel modified convolutional neural network and FFA algorithm for fish species classification
• Using deep learning to extend the range of air pollution monitoring and forecasting

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