Application of soft computing techniques to multiphase flow measurement: A review
After extensive research and development over the past three decades, a range of
techniques have been proposed and developed for online continuous measurement of …
techniques have been proposed and developed for online continuous measurement of …
A hybrid RSM-ANN-GA approach on optimisation of extraction conditions for bioactive component-rich laver (Porphyra dentata) extract
This research established the optimal conditions for infusion extraction (IE) and ultrasound-
assisted extraction (UAE) of bioactive components from laver (Porphyra dentata) using …
assisted extraction (UAE) of bioactive components from laver (Porphyra dentata) using …
Extreme learning machines for credit scoring: An empirical evaluation
A Bequé, S Lessmann - Expert Systems with Applications, 2017 - Elsevier
Classification algorithms are used in many domains to extract information from data, predict
the entry probability of events of interest, and, eventually, support decision making. This …
the entry probability of events of interest, and, eventually, support decision making. This …
The use of differential evolution algorithm for solving chemical engineering problems
EN Dragoi, S Curteanu - Reviews in Chemical Engineering, 2016 - degruyter.com
Differential evolution (DE), belonging to the evolutionary algorithm class, is a simple and
powerful optimizer with great potential for solving different types of synthetic and real-life …
powerful optimizer with great potential for solving different types of synthetic and real-life …
Metabolite Profiling of Microwave-Assisted Sargassum fusiforme Extracts with Improved Antioxidant Activity Using Hybrid Response Surface Methodology and …
Sargassum fusiforme (SF) is a popular edible brown macroalga found in Korea, Japan, and
China and is known for its health-promoting properties. In this study, we used two …
China and is known for its health-promoting properties. In this study, we used two …
Artificial neural network–particle swarm optimization (ANN-PSO) approach for behaviour prediction and structural optimization of lightweight sandwich composite …
The necessity to diminish the heliostats' cost so that central tower concentrating solar power
(CSP) systems can stride to the forefront to become the technology of choice for generating …
(CSP) systems can stride to the forefront to become the technology of choice for generating …
Tertiary treatment of coke-oven wastewater using suspended and immobilized whole live cells of constructed bacterial–microalgal consortium: modeling and …
Abstract Coke-oven wastewater (CW), containing an array of toxic pollutants above
permissible limits even after conventional primary and secondary treatment, needs a tertiary …
permissible limits even after conventional primary and secondary treatment, needs a tertiary …
Prediction of jatropha-algae biodiesel blend oil yield with the application of artificial neural networks technique
In this work, the experiments of the transesterification process were carried out on jatropha-
algae oil blend and the prediction of the synthesized biodiesel was investigated. The study …
algae oil blend and the prediction of the synthesized biodiesel was investigated. The study …
Modeling the biosorption process of heavy metal ions on soybean-based low-cost biosorbents using artificial neural networks
Pollution of the environment with heavy metals requires finding solutions to eliminate them
from aqueous flows. The current trends aim at exploiting the advantages of the adsorption …
from aqueous flows. The current trends aim at exploiting the advantages of the adsorption …
Modeling of oily sludge composting process by using artificial neural networks and differential evolution: Prediction of removal of petroleum hydrocarbons and organic …
Since total petroleum hydrocarbons (TPH) and organic carbon (OC) are two important
variables in the performance of oily sludge composting process; the prediction of their …
variables in the performance of oily sludge composting process; the prediction of their …