首页|Investigators from Tanta University Zero in on Machine Learning (Innovative Sola r Distillation System With Prismatic Absorber Basin: Experimental Analysis and L stm Machine Learning Modeling Coupled With Great Wall Construction Algorithm)

Investigators from Tanta University Zero in on Machine Learning (Innovative Sola r Distillation System With Prismatic Absorber Basin: Experimental Analysis and L stm Machine Learning Modeling Coupled With Great Wall Construction Algorithm)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Machine Learning is now available. According to news reporting out of Tanta, Egypt, by NewsRx editors, research st ated, “Enhancing the vaporization surface area of the solar distillers through t he implementation of a novel configurations based solar distiller represents a c ost-efficient strategy for maximizing the distilled water output of conventional solar stills. The study introduces a pioneering wicked prismatic-shaped solar d istiller equipped with wick materials and feed spaying nozzles, aimed at augment ing vaporization rates inside the still trough and, consequently, increasing the yield of freshwater.”

TantaEgyptAfricaAlgorithmsCyborg sEmerging TechnologiesMachine LearningTanta University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.11)