Ahmed El-Shafie

Environmental Engineering · 2009–2020

A researcher in the Science corpus: 12 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Environmental Engineering — 80 citations into it; #4,626 of 5,479 by trust here, #1,201 by citations
• Water Science and Technology — 61 citations into it
• Artificial Intelligence — 48 citations into it
• Global and Planetary Change — 46 citations into it
• Electrical and Electronic Engineering — 39 citations into it
• Ocean Engineering — 15 citations into it
• Civil and Structural Engineering — 14 citations into it
• Statistics and Probability — 9 citations into it

Whom Ahmed El-Shafie trusts overall

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

1. Ali Zilouchian
2. Chitrasen Samantra
3. Ozgur Kisi
4. Juha Vesanto
5. Ximing Cai
6. Kalyanmoy Deb
7. James A. Cadzow

Who trusts Ahmed El-Shafie overall

1. Hristos Tyralis
2. John M. Quilty
3. Mohammad Ali Ghorbani
4. Zhenliang Yin

Papers from Ahmed El-Shafie's perspective

Ordered by how strongly the researchers Ahmed El-Shafie trusts endorse each paper. Same corpus, a different order for every researcher.

1. Neural Networks: A Comprehensive Foundation
2. Neural Networks for Pattern Recognition
3. Detecting change in vague interpretations of landscapes
4. Optimization by Simulated Annealing
5. MAX-MIN Ant System (Future generations computer systems)
6. A fast and elitist multiobjective genetic algorithm: NSGA-II
7. Parameter Estimation of the Nonlinear Muskingum Flood-Routing Model Using a Hybrid Harmony Search Algorithm
8. Assessment of Modified Honey Bee Mating Optimization for Parameter Estimation of Nonlinear Muskingum Models
9. A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling.
10. Parameters Estimation for the New Four-Parameter Nonlinear Muskingum Model Using the Particle Swarm Optimization (Water resources management)

Their papers

• Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq (2016) — 299 citations
• Estimation of total dissolved solids (TDS) using new hybrid machine learning models (2020) — 86 citations
• Enhancement of Groundwater-Level Prediction Using an Integrated Machine Learning Model Optimized by Whale Algorithm (2020) — 96 citations
• Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting (2020) — 195 citations
• Machine Learning Application in Reservoir Water Level Forecasting for Sustainable Hydropower Generation Strategy (2020) — 99 citations
• Review on heavy metal adsorption processes by carbon nanotubes (2019) — 372 citations
• Flood Routing in River Reaches Using a Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm (2018) — 47 citations
• Comparative study on using static and dynamic finite element models to develop FWD measurement on flexible pavement structures (2018) — 47 citations
• Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model (2017) — 241 citations
• Artificial intelligence based models for stream-flow forecasting: 2000-2015 (2015) — 501 citations
• Reservoir-system simulation and optimization techniques (2013) — 95 citations
• Performance Enhancement of MEMS-Based INS/GPS Integration for Low-Cost Navigation Applications (2009) — 369 citations