首页|Research from Silesian University of Technology Broadens Understanding of Machin e Learning (Quantitative Soil Characterization for Biochar-Cd Adsorption: Machin e Learning Prediction Models for Cd Transformation and Immobilization)
Research from Silesian University of Technology Broadens Understanding of Machin e Learning (Quantitative Soil Characterization for Biochar-Cd Adsorption: Machin e Learning Prediction Models for Cd Transformation and Immobilization)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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 Gliwice, Poland, by NewsRx correspondents, research stated, “Soil pollution w ith cadmium (Cd) poses serious health and environmental consequences. The study investigated the incubation of several soil samples and conducted quantitative s oil characterization to assess the influence of biochar (BC) on Cd adsorption.”
Silesian University of TechnologyGliwicePolandEuropeCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
