[HTML][HTML] Influence of the extraction method on the recovery of bioactive phenolic compounds from food industry by-products

E Gil-Martín, T Forbes-Hernández, A Romero… - Food Chemistry, 2022 - Elsevier
Agro-foodindustries generate colossal amounts of non-edible waste and by-products, easily
accessible as raw materials for up-cycling active phytochemicals. Phenolic compounds are …

[LIVRE][B] Applications of response surface methodology (RSM) in product design, development, and process optimization

S Lamidi, N Olaleye, Y Bankole, A Obalola, E Aribike… - 2022 - intechopen.com
In this review chapter, the authors presented a systematic exposition to the concept of
Response Surface Methodology (RSM) for applications by Scientists, Engineers …

[HTML][HTML] Optimization methods for the extraction of vegetable oils: A review

DB Nde, AC Foncha - Processes, 2020 - mdpi.com
Most seed oils are edible while some are used generally as raw material for soap
production, chocolate, margarine, and recently in biodiesel formulations as potential …

[PDF][PDF] Response surface methodology (RSM): An overview to analyze multivariate data

M Reji, R Kumar - Indian J. Microbiol. Res, 2022 - academia.edu
In recent years, the fascinating range of Response surface methodology (RSM) applications
has captured the interest of many researchers and engineers worldwide. RSM is entirely …

[HTML][HTML] Optimization of fresh and mechanical characteristics of carbon fiber-reinforced concrete composites using response surface technique

MB Khan, A Waqar, N Bheel, N Shafiq, N Hamah Sor… - Buildings, 2023 - mdpi.com
As a top construction material worldwide, concrete has core weakness relating to low tensile
resistance without reinforcement. It is the reason that a variety of innovative materials are …

Hyperparameter tuning of machine learning algorithms using response surface methodology: A case study of ANN, SVM, and DBN

W Pannakkong, K Thiwa-Anont… - Mathematical …, 2022 - Wiley Online Library
This study applies response surface methodology (RSM) to the hyperparameter fine‐tuning
of three machine learning (ML) algorithms: artificial neural network (ANN), support vector …

A review of response surface methodology for biogas process optimization

SS Djimtoingar, NSA Derkyi, FA Kuranchie… - Cogent …, 2022 - Taylor & Francis
This paper aimed at reviewing current researches on the use of Response Surface
Methodology in the optimisation of Biogas processes. It explored the performance of RSM in …

[HTML][HTML] Optimization of ultrasonic-assisted approach for synthesizing a highly stable biocompatible bismuth-coated iron oxide nanoparticles using a face-centered …

FS Braim, NNAN Ab Razak, AA Aziz, MA Dheyab… - Ultrasonics …, 2023 - Elsevier
The incorporation of additional functional groups such as bismuth nanoparticles (Bi NPs)
into magnetite nanoparticles (Fe 3 O 4 NPs) is critical for their properties modification …

Optimization of fresh and mechanical properties of sustainable concrete composite containing ARGF and fly ash: An application of response surface methodology

SAR Shah, NB Kahla, M Atig, MK Anwar, M Azab… - … and Building Materials, 2023 - Elsevier
Globally, significant attempts have been made to properly utilize waste materials and
various by-products as supplementary cementitious materials (SCMs) in the production of …

Photocatalytic activity of ZrO2/TiO2/Fe3O4 ternary nanocomposite for the degradation of naproxen: characterization and optimization using response surface …

MH Zare, A Mehrabani-Zeinabad - Scientific Reports, 2022 - nature.com
Abstract In this study, ZrO2, TiO2, and Fe3O4 components were synthesized by co-
precipitation, sol–gel, and co-precipitation methods, respectively. In addition, solid-state …