[HTML][HTML] Extraction of phenolic compounds from cocoa shell: Modeling using response surface methodology and artificial neural networks
This work's objective was to model and optimize a green extraction method of phenolic
compounds from the cocoa shell as a strategy to revalorize this by-product, obtaining novel …
compounds from the cocoa shell as a strategy to revalorize this by-product, obtaining novel …
Revalorization of coffee husk: Modeling and optimizing the green sustainable extraction of phenolic compounds
This study aimed to model and optimize a green sustainable extraction method of phenolic
compounds from the coffee husk. Response surface methodology (RSM) and artificial neural …
compounds from the coffee husk. Response surface methodology (RSM) and artificial neural …
Assessing artificial neural network performance for predicting interlayer conditions and layer modulus of multi-layered flexible pavement
The objective of this study is to evaluate the performance of the artificial neural network
(ANN) approach for predicting interlayer conditions and layer modulus of a multi-layered …
(ANN) approach for predicting interlayer conditions and layer modulus of a multi-layered …
[HTML][HTML] Fault identifiability and pseudo-data-driven fault localization in a DC microgrid
Post-fault maintenance and power restoration in low voltage direct current (LVDC)
microgrids are highly dependent on the fault localization criteria. This paper investigates the …
microgrids are highly dependent on the fault localization criteria. This paper investigates the …
Comparison of artificial neural networks and response surface methodology towards an efficient ultrasound-assisted extraction of chlorogenic acid from Lonicera …
Chlorogenic acid (CGA), a bioactive compound commonly found in plants, has been
demonstrated possessing nutraceutical potential in recent years. However, the more critical …
demonstrated possessing nutraceutical potential in recent years. However, the more critical …
Machine learning techniques: a survey
H Kour, N Gondhi - Innovative Data Communication Technologies and …, 2020 - Springer
Artificial intelligence (AI) is a technique, which makes machines to mimic the human
behavior. Machine learning is an AI technique to train complex models, which can make the …
behavior. Machine learning is an AI technique to train complex models, which can make the …
[PDF][PDF] A survey of finding trends in data mining techniques for social media analysis
Social media have become very popular in the last few decades. Users rely on social
network sites like Twitter, Facebook, YouTube, and LinkedIn for both information and …
network sites like Twitter, Facebook, YouTube, and LinkedIn for both information and …
[HTML][HTML] An intelligent prenatal screening system for the prediction of Trisomy-21
A Jamshidnezhad, SM Hosseini… - Informatics in Medicine …, 2021 - Elsevier
Down syndrome is caused by a trisomy on chromosome 21 of humans. Children with this
disease often have varying degrees of physical-mental problems such as mental retardation …
disease often have varying degrees of physical-mental problems such as mental retardation …
Prediction of the Growth Rates of Pseudomonas sp. in Seafood Based on Artificial Neural Network (ANN) Model
IY Genç - Journal of Aquatic Food Product Technology, 2023 - Taylor & Francis
The aim of this study is to predict the growth rate (µmax) of Pseudomonas sp. in seafood
under different temperature-2-25° C and modified atmosphere packaging (MAP) conditions …
under different temperature-2-25° C and modified atmosphere packaging (MAP) conditions …
Processing and analysis of human voice for assessment of Parkinson disease
Acoustic analysis of voice is a non invasive, reliable, easy to use and cost effective method
in detecting parkinson disease. Voice deviation from normal one is the earliest indicator of …
in detecting parkinson disease. Voice deviation from normal one is the earliest indicator of …