Advanced control of membrane fouling in filtration systems using artificial intelligence and machine learning techniques: A critical review
This paper critically reviews all artificial intelligence (AI) and machine learning (ML)
techniques for the better control of membrane fouling in filtration processes, with the focus …
techniques for the better control of membrane fouling in filtration processes, with the focus …
A self-adaptive evolutionary fuzzy model for load forecasting problems on smart grid environment
The importance of load forecasting has been increasing lately and improving the use of
energy resources remains a great challenge. The amount of data collected from Microgrid …
energy resources remains a great challenge. The amount of data collected from Microgrid …
Prediction of permeation flux decline during MF of oily wastewater using genetic programming
Genetic programming is an orderly method for getting computers to regularly solve a
problem. The genetic programming creates a computer program from an obtained data and …
problem. The genetic programming creates a computer program from an obtained data and …
Insights into the estimation of heavy metals ions sorption from aqueous environment onto natural zeolite
In this work, we present how soft computing approaches can be used to study the sorption
performance of natural zeolite to eliminate heavy metals ions including Zn 2+, Ni 2+, Cd 2+ …
performance of natural zeolite to eliminate heavy metals ions including Zn 2+, Ni 2+, Cd 2+ …
Application of multi-gene genetic programming technique for modeling and optimization of phycoremediation of Cr (VI) from wastewater
Abstract Background Removal of Cr (VI) from wastewater is essential as it is potentially toxic
and carcinogenic in nature. Bioremediation of heavy metals using microalgae is a novel …
and carcinogenic in nature. Bioremediation of heavy metals using microalgae is a novel …
Modeling and temperature control of rapid thermal processing
In the past few years, rapid thermal processing (RTP) has gained acceptance as mainstream
technology for semiconductor manufacturing. This single wafer approach allows for faster …
technology for semiconductor manufacturing. This single wafer approach allows for faster …
Genetic programming applications in chemical sciences and engineering
R Vyas, P Goel, SS Tambe - Handbook of genetic programming …, 2015 - Springer
Abstract Genetic programming (GP)(Koza, Genetic programming: a paradigm for genetically
breeding populations of computer programs to solve problems, Stanford University …
breeding populations of computer programs to solve problems, Stanford University …
Model predictive control of a fermentation feed in biofuel production
MA Macharia, PD Noll, ME Tay - US Patent 8,634,940, 2014 - Google Patents
Abstract System and method for managing fermentation feed in a biofuel production
process, comprising a dynamic multivariate predictive model-based controller coupled to a …
process, comprising a dynamic multivariate predictive model-based controller coupled to a …
Nonlinear adaptive model predictive control based on self‐correcting neural network models
A Alexandridis, H Sarimveis - AIChE Journal, 2005 - Wiley Online Library
Two major issues in process control are the nonlinearities and variations with time that are
observed in the dynamics of the processes. In most cases these problems are confronted by …
observed in the dynamics of the processes. In most cases these problems are confronted by …
Model Predictive Evolutionary Temperature Control via Neural-Network-Based Digital Twins
C Ates, D Bicat, R Yankov, J Arweiler, R Koch… - Algorithms, 2023 - mdpi.com
In this study, we propose a population-based, data-driven intelligent controller that
leverages neural-network-based digital twins for hypothesis testing. Initially, a diverse set of …
leverages neural-network-based digital twins for hypothesis testing. Initially, a diverse set of …