Mohamed Abdel-Nasser

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Renewable Energy, Sustainability and the Environment — 6 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Mohamed Abdel-Nasser trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sean D. Campbell
2. Can Wan
3. Javier Antoñanzas
4. Francis X. Diebold
5. Henrik Madsen
6. Adel Mellit
7. Shuai Li
8. Alex Graves
9. Sepp Hochreiter
10. Ilya Sutskever

Who trusts Mohamed Abdel-Nasser overall

1. Olufemi A. Omitaomu

Papers from Mohamed Abdel-Nasser's perspective

Ordered by how strongly the researchers Mohamed Abdel-Nasser trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
3. Speech recognition with deep recurrent neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Online short-term solar power forecasting
8. A hybrid model (SARIMA-SVM) for short-term power forecasting of a small-scale grid-connected photovoltaic plant
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Accurate photovoltaic power forecasting models using deep LSTM-RNN (2017) — 676 citations