[HTML][HTML] Small scale desalination technologies: A comprehensive review
In recent decades, problems related to fresh water has become a very important issue for
humans. Small-scale desalination (SSD) systems, besides large-scale desalination (LSD) …
humans. Small-scale desalination (SSD) systems, besides large-scale desalination (LSD) …
[HTML][HTML] Machine learning-aided modeling for predicting freshwater production of a membrane desalination system: A long-short-term memory coupled with election …
Membrane desalination (MD) is an efficient process for desalinating saltwater, combining
the uniqueness of both thermal and separation distillation configurations. In this context, the …
the uniqueness of both thermal and separation distillation configurations. In this context, the …
[HTML][HTML] Machine learning toward improving the performance of membrane-based wastewater treatment: A review
P Dansawad, Y Li, Y Li, J Zhang, S You, W Li, S Yi - Advanced Membranes, 2023 - Elsevier
Abstract Machine learning (ML) is a data-driven approach that can be applied to design,
analyze, predict, and optimize a process based on existing data. Recently, ML has found its …
analyze, predict, and optimize a process based on existing data. Recently, ML has found its …
Machine learning modelling of a membrane capacitive deionization (MCDI) system for prediction of long-term system performance and optimization of process control …
Abstract Membrane Capacitive Deionization (MCDI) is a promising electrochemical
technique for water desalination. Previous studies have confirrmed the effectiveness of …
technique for water desalination. Previous studies have confirrmed the effectiveness of …
Enhanced performance of a hybrid adsorption desalination system integrated with solar PV/T collectors: Experimental investigation and machine learning modeling …
This study explores the performance augmentation of a solar adsorption desalination system
(SADS) powered by a hybrid solar thermal system with evacuated tubes and photovoltaic …
(SADS) powered by a hybrid solar thermal system with evacuated tubes and photovoltaic …
An evolutionary deep learning soft sensor model based on random forest feature selection technique for penicillin fermentation process
L Hua, C Zhang, W Sun, Y Li, J Xiong, MS Nazir - ISA transactions, 2023 - Elsevier
Accurate and reliable measurement of key biological parameters during penicillin
fermentation is of great significance for improving penicillin production. In this research …
fermentation is of great significance for improving penicillin production. In this research …
Machine learning-guided underlying decisive factors of high-performance membrane distillation system: Membrane properties, operation conditions and solution …
Membrane distillation (MD) is considered as one of the promising membrane technologies
with the potential to effectively produce freshwater from high concentration brines …
with the potential to effectively produce freshwater from high concentration brines …
Enhancing waste cooking oil biodiesel yield and characteristics through machine learning, response surface methodology, and genetic algorithms for optimal …
The current study seeks to predict and optimize the biodiesel production yield and
physicochemical properties of waste cooking oil. Using Box-Behnken design (BBD), L46 …
physicochemical properties of waste cooking oil. Using Box-Behnken design (BBD), L46 …
Prediction of outlet air characteristics and thermal performance of a symmetrical solar air heater via machine learning to develop a model-based operational control …
This study develops reliable and robust machine learning (ML) models to predict the outlet
air temperature and humidity and thermal efficiency of a solar air heater (SAH). Also, the …
air temperature and humidity and thermal efficiency of a solar air heater (SAH). Also, the …
Deep learning with improved hybrid neuro-turning for predictive control of flux based on experimental DCMD module design of water desalination system
This study explores two scenarios for optimizing the predictive control of flux in water
desalination systems: experimental design of direct contact membrane distillation (DCMD) …
desalination systems: experimental design of direct contact membrane distillation (DCMD) …