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 …

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 …

Enhancing conical solar still performance using high conductive hollow cylindrical copper fins embedded by PCM

M Bady, MEH Attia, MA Elazab - Solar Energy, 2024 - Elsevier
The present study aims to enhance the efficiency of the conical solar distiller in producing
water during both day and night. This will be achieved through design enhancements, such …

Effect of charcoal balls on distillation productivity in hemispherical solar stills: Experimental investigation and performance analysis

MEH Attia, MA Elazab, M Bady - Solar Energy, 2024 - Elsevier
This study investigates the enhanced performance of hemispherical solar stills by integrating
charcoal balls. The method showcases improved efficiency by augmenting heat transfer …

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 …

Maximizing solar distillation performance for conical solar still through varied energy storage materials

A Bellila, AE Kabeel, MEH Attia, HA Dahab… - Scientific Reports, 2024 - nature.com
The study investigates the performance enhancement of a conical solar distillation system
by incorporating different energy storage materials, including glass balls, stainless steel …

Overcoming shading challenges in solar distillers: A comparative study of copper conical fins and sand-filled fins

MEH Attia, MA Elazab, AS Salam - Solar Energy Materials and Solar …, 2025 - Elsevier
The incorporation of fins on the flat absorber of a basin is known to improve thermal
efficiency and distillate production by increasing the surface area exposed to sunlight …