Machine learning and interactive GUI for concrete compressive strength prediction

MK Elshaarawy, MM Alsaadawi, AK Hamed - Scientific Reports, 2024 - nature.com
Concrete compressive strength (CS) is a crucial performance parameter in concrete
structure design. Reliable strength prediction reduces costs and time in design and prevents …

Numerical and machine learning modeling of GFRP confined concrete-steel hollow elliptical columns

HF Isleem, T Qiong, MM Alsaadawi, MK Elshaarawy… - Scientific Reports, 2024 - nature.com
This article investigates the behavior of hybrid FRP Concrete-Steel columns with an elliptical
cross section. The investigation was carried out by gathering information through literature …

Stacked ensemble model for optimized prediction of triangular side orifice discharge coefficient

MK Elshaarawy, AK Hamed - Engineering Optimization, 2024 - Taylor & Francis
This research focuses on optimizing the prediction of discharge coefficient (Cd) of triangular
side orifices (TSO) using a novel stacked model (SM) incorporating five machine learning …

Enhancing discharge prediction over Type-A piano key weirs: An innovative machine learning approach

W Tian, HF Isleem, AK Hamed… - Flow Measurement and …, 2024 - Elsevier
Piano key weirs (PKWs) are an increasingly popular hydraulic structure due to their higher
discharge capacity than linear weirs. Accurately predicting the discharge of PKWs is …

Machine learning models for predicting water quality index: optimization and performance analysis for El Moghra, Egypt

M Kamel Elshaarawy, MG Eltarabily - Water Supply, 2024 - iwaponline.com
Assessing groundwater quality is vital for irrigation, but financial constraints in develo**
countries often result in infrequent sampling. This study comprehensively analyzes the …

Determining seepage loss predictions in lined canals through optimizing advanced gradient boosting techniques

MK Elshaarawy, NH Elmasry, T Selim, M Elkiki… - Water Conservation …, 2024 - Springer
Ensuring accurate estimation of seepage loss is critical for advancing water sustainability,
especially in water-scarce regions. This study is aimed at evaluating the performance of …

Machine learning and interactive GUI for estimating roller length of hydraulic jumps

MK Elshaarawy, AK Hamed - Neural Computing and Applications, 2024 - Springer
Hydraulic jumps reduce kinetic energy after ogee spillways, improve wastewater
chlorination, and serve many hydraulic applications. This study utilized seven Machine …

Stacked-based machine learning to predict the uniaxial compressive strength of concrete materials

AK Hamed, MK Elshaarawy, MM Alsaadawi - Computers & Structures, 2025 - Elsevier
Compressive strength is a key factor in the design and durability of concrete structures.
Accurate prediction of compressive strength helps optimize material use and reduce …

Hydraulic assessment of different types of piano key weirs

MG Eltarabily, A Kamal Hamed, M Elkiki… - ISH Journal of …, 2024 - Taylor & Francis
ABSTRACT Piano Key Weir (PKW) is a non-linear weir with a small foundation footprint that
allows large discharges through a narrow channel. The presence of overhangs classifies it …

Stacked-based hybrid gradient boosting models for estimating seepage from lined canals

MK Elshaarawy - Journal of Water Process Engineering, 2025 - Elsevier
Accurate seepage loss estimation from lined canals is crucial for effective water
management, especially in water-scarce regions. This study explores seepage loss …