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Machine learning and interactive GUI for concrete compressive strength prediction
Concrete compressive strength (CS) is a crucial performance parameter in concrete
structure design. Reliable strength prediction reduces costs and time in design and prevents …
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
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 …
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
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 …
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
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 …
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
This study investigates the enhanced performance of hemispherical solar stills by integrating
charcoal balls. The method showcases improved efficiency by augmenting heat transfer …
charcoal balls. The method showcases improved efficiency by augmenting heat transfer …
Machine learning and interactive GUI for estimating roller length of hydraulic jumps
Hydraulic jumps reduce kinetic energy after ogee spillways, improve wastewater
chlorination, and serve many hydraulic applications. This study utilized seven Machine …
chlorination, and serve many hydraulic applications. This study utilized seven Machine …
Stacked-based machine learning to predict the uniaxial compressive strength of concrete materials
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 …
Accurate prediction of compressive strength helps optimize material use and reduce …
Hydraulic assessment of different types of piano key weirs
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 …
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
The study investigates the performance enhancement of a conical solar distillation system
by incorporating different energy storage materials, including glass balls, stainless steel …
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
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 …
efficiency and distillate production by increasing the surface area exposed to sunlight …