首页|New Findings in Hydraulic Engineering Described from Al-Qasim Green University ( Unlocking precision in hydraulic engineering: machine learning insights into lab yrinth sluice gate discharge coefficients)

New Findings in Hydraulic Engineering Described from Al-Qasim Green University ( Unlocking precision in hydraulic engineering: machine learning insights into lab yrinth sluice gate discharge coefficients)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on hydraulic engineering i s now available. According to news reportingoriginating from Babylon, Iraq, by NewsRx correspondents, research stated, “ABSTRACT: This studyinvestigates the d ischarge coefficient (Cd) of labyrinth sluice gates, a modern gate design with c omplexflow characteristics.”

Al-Qasim Green UniversityBabylonIraqCyborgsEmerging TechnologiesEngineeringHydraulic EngineeringMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.21)