A decomposition algorithm for solving stochastic multi-level large scale quadratic programming problem OE Emam, Kholeif, SM Azzam Applied Mathematics & Information Sciences 9 (4), 1817, 2015 | 11 | 2015 |
A Decomposition Algorithm for Solving Multi-Level Large-Scale Linear Programming Problems With Neutrosophic Parameters in the Constrains O. E. Emam, Manal A. Abdel-Fattah Applied Mathematics & Information Sciences 14 (5), 913-919, 2020 | 6* | 2020 |
A framework for evaluating sustainable renewable energy sources under uncertain conditions: A case study SM Azzam, MM Sleem, KM Sallam, K Munasinghe, AA Abohany International Journal of Intelligent Systems 37 (10), 6652-6685, 2022 | 5 | 2022 |
A Fuzzy Approach for Solving a Three-Level Linear Programming Problem with Neutrosophic Parameters in the Objective Functions and Constraints SMA O. E. Emam, Manal A. Abdel-Fattah Journal of Statistics Applications & Probability 10 (3), 677-686, 2021 | 2 | 2021 |
Interactive Approach for Solving Three-Level Linear Programming Problem With Neutrosophic Parameters in the Objective Functions O. E. Emam, Manal A. Abdel-Fattah Journal of Statistics Applications & Probability 8 (3), 219-227, 2019 | 2* | 2019 |
On the solution of bi-level large scale quadratic programming problem with stochastic parameters in the constraints OE Emam, SA Kholeif, SM Azzam Journal of Advances in Mathematics and Computer Science, 571-582, 2015 | 2 | 2015 |
The Swarm Intelligence Algorithms for Optimization in Diagnosis the Diseases: A survey ME Ali, OE Emam, S Azzam FCI-H Informatics Bulletin 5 (2), 7-17, 2023 | 1 | 2023 |
A comparative study of artificial intelligence techniques for categorization and prediction of heart diseases عبدالله رضا رشوان, عبدالله, الفنجري, عزام النشرة المعلوماتية في الحاسبات والمعلومات 6 (1), 11-21, 2024 | | 2024 |
Predicting heart disease using modified GoogLeNet convolutional neural network architecture based on the heart sound AR Rashwan, L El Fangary, SM Azzam | | |
A Proposed Framework to Improve Diagnosis of Covid-19 Based on Patient’s Symptoms using Feature Selection Optimization M Elhussiny, OE Emam, SM Azzam | | |