Robotics & Machine Learning Daily News2024,Issue(Nov.21) :69-70.

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)

从al-qasim看水利工程的新发现绿色大学(液压工程解锁精度:机械水闸流量系数的学习体会

Robotics & Machine Learning Daily News2024,Issue(Nov.21) :69-70.

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)

从al-qasim看水利工程的新发现绿色大学(液压工程解锁精度:机械水闸流量系数的学习体会

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-一个新的水利工程研究我现在可以。根据新闻报道该研究源于伊拉克巴比伦,由NewsRx记者报道,“摘要:本研究报告”摘要研究了复杂复杂的现代闸门迷宫闸门的泄水系数(Cd)流动特性。

Abstract

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.”

Key words

Al-Qasim Green University/Babylon/Iraq/Cyborgs/Emerging Technologies/Engineering/Hydraulic Engineering/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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