首页|Data on Artificial Intelligence Described by a Researcher at University of Engin eering and Technology (A Comparative Analysis of Sediment Concentration Using Ar tificial Intelligence and Empirical Equations)
Data on Artificial Intelligence Described by a Researcher at University of Engin eering and Technology (A Comparative Analysis of Sediment Concentration Using Ar tificial Intelligence and Empirical Equations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting originating fr om Taxila, Pakistan, by NewsRx correspondents, research stated, “Morphological c hanges in canals are greatly influenced by sediment load dynamics, whose estimat ion is a challenging task because of the non-linear behavior of the sediment con centration variables. This study aims to compare different techniques including Artificial Intelligence Models (AIM) and empirical equations for estimating sedi ment load in Upper Chenab Canal based on 10 years of sediment data from 2012 to 2022.”
University of Engineering and TechnologyTaxilaPakistanArtificial IntelligenceEmerging TechnologiesMachine Le arning
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