An efficient IoT based smart farming system using machine learning algorithms NG Rezk, EED Hemdan, AF Attia, A El-Sayed, MA El-Rashidy Multimedia Tools and Applications 80, 773-797, 2021 | 133 | 2021 |
An efficient plant disease recognition system using hybrid convolutional neural networks (cnns) and conditional random fields (crfs) for smart iot applications in agriculture NG Rezk, AF Attia, MA El-Rashidy, A El-Sayed, EED Hemdan International Journal of Computational Intelligence Systems 15 (1), 65, 2022 | 26 | 2022 |
An efficient IoT based framework for detecting rice disease in smart farming system NG Rezk, EED Hemdan, AF Attia, A El-Sayed, MA El-Rashidy Multimedia Tools and Applications 82 (29), 45259-45292, 2023 | 11 | 2023 |
Clustering of XML documents based on structure and aggregated content NG Rezk, A Sarhan, A Algergawy 2016 11th International Conference on Computer Engineering & Systems (ICCES …, 2016 | 5 | 2016 |
XAI-Augmented Voting Ensemble Models for Heart Disease Prediction: A SHAP and LIME-Based Approach NG Rezk, S Alshathri, A Sayed, E El-Din Hemdan, H El-Behery Bioengineering 11 (10), 1016, 2024 | | 2024 |
An Efficient Air Quality Detection System Using Sequential Forward Selection-Based ML Algorithms NG Rezk, A Sayed, EED Hemdan, H El-Behery | | 2024 |
An Efficient IoT-based Crop Damage Prediction Framework in Smart Agricultural Systems NG Rezk, AF Attia, MA El-Rashidy, A El-Sayed, EED Hemdan | | 2024 |