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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
Using artificial neural network to predict degradation rates of pollutants in industrial wastewater with TiO2-based nanocomposites
May 2012
Publications
مهدي حاجي هاشمي- Mahdi Hajihashemi
Dr. Hossein Shams Shemirani
Small-business
Generation of early warnings based on trend features of distance variables in normal operating zones for multivariate processes
A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Data
Project Planning & Control
Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis
Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis
میکروبیولوژی صنعتی
An Enforced Hill Climbing Based System for General Game Playing