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Using artificial neural network to predict degradation rates of pollutants in industrial wastewater with TiO2-based nanocomposites
Using artificial neural network to predict degradation rates of pollutants in industrial wastewater with TiO2-based nanocomposites
Synthesis and biological applications of nanocomposite hydrogels based on the methacrylation of hydroxypropyl methylcellulose and lignin loaded with alpha-pinene
Using artificial neural network to predict degradation rates of pollutants in industrial wastewater with TiO2-based nanocomposites
Synthesis and biological applications of nanocomposite hydrogels based on the methacrylation of hydroxypropyl methylcellulose and lignin loaded with alpha-pinene
Innovative Silk Fibroin-Flax Nanocomposite Hydrogels: A Drug-Loaded System for Potential Wound Dressing Applications
Biography 46
Maryam Tukhani
Integrated Process Modelling of the Manufacture of Gas Turbine Blade (IMMAD Programme)
Comparision of FAO - UNEP , MEDALUS and MICD Models for Mapping Desertification Severity
Survey of the loss function in classification models: Comparative study in healthcare and medicine
Modelling tunnel squeezing using gene expression programming: a case study
Deep graph clustering via mutual information maximization and mixture model
Deep graph clustering via mutual information maximization and mixture model
Homology Modeling, Molecular Dynamics Simulation, and Prediction of Bovine TLR2 Heterodimerization