Tolessa Deksissa - researchr alias

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Viewing Publication 1 - 5 from 5

2024

Bayesian Optimized CNN-RNN Hybrid Model for Predicting Streamflow in Potomac River BasinNian Zhang, Stephanie Rouamba, Gavin Robinson, Tolessa Deksissa. icaci 2024: 121-126 [doi]

2022

Streamflow Prediction Using a Hybrid Methodology Based on Convolutional Neural Network and Long Short-Term MemoryJuan F. Ramirez Rochac, Nian Zhang, Tolessa Deksissa, Wagdy H. Mahmoud. bigdataservice 2022: 173-174 [doi]

A Hybrid ConvLSTM Deep Neural Network for Noise Reduction and Data Augmentation for Prediction of Non-linear Dynamics of StreamflowJuan F. Ramirez Rochac, Nian Zhang, Tolessa Deksissa, Jiajun Xu, Lara A. Thompson. icdm 2022: 1120-1127 [doi]

2021

A Robust Context-Based Deep Learning Approach for Highly Imbalanced Hyperspectral ClassificationJuan F. Ramirez Rochac, Nian Zhang, Lara A. Thompson, Tolessa Deksissa. cin, 2021, 2021. [doi]

2020

Development of a Drought Prediction System Based on Long Short-Term Memory Networks (LSTM)Nian Zhang, Xiangguang Dai, Md Amimul Ehsan, Tolessa Deksissa. isnn 2020: 142-153 [doi]

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