Biological and chemical diversity go hand in hand: Basidiomycota as source of new pharmaceuticals and agrochemicals

B Sandargo, C Chepkirui, T Cheng… - Biotechnology …, 2019 - Elsevier
The Basidiomycota constitutes the second largest higher taxonomic group of the Fungi after
the Ascomycota and comprises over 30.000 species. Mycelial cultures of Basidiomycota …

Model construction and optimization for raising the concentration of industrial bioethanol production by using a data-driven ANN model

AA Niaze, R Sahu, MK Sunkara, S Upadhyayula - Renewable Energy, 2023 - Elsevier
This work aims to model and predict the bioethanol produced from a conventional
fermentation process. An industrial dataset was obtained from a sugar mill in India. These …

Multiple linear regression and artificial neural networks for delta-endotoxin and protease yields modelling of Bacillus thuringiensis

K Ennouri, R Ben Ayed, MA Triki, E Ottaviani… - 3 Biotech, 2017 - Springer
The aim of the present work was to develop a model that supplies accurate predictions of the
yields of delta-endotoxins and proteases produced by B. thuringiensis var. kurstaki HD-1 …

Preliminary modeling of an industrial recombinant human erythropoietin purification process by Artificial Neural Networks

RHR Garcel1, OG León, EO Magaz - Brazilian Journal of Chemical …, 2015 - SciELO Brasil
In the present study a preliminary neural network modelling to improve our understanding of
Recombinant Human Erythropoietin purification process in a plant was explored. A three …

[HTML][HTML] Análisis de la medición de la biomasa en fermentación en estado sólido empleando el modelo logístico y redes neuronales

JC Oviedo, AE Casas, JA Valencia… - Información tecnológica, 2014 - SciELO Chile
En este trabajo, se llevó a cabo el análisis del crecimiento del Pleurotus pulmonarius en
tusa de maíz, empleando redes neuronales artificiales y el modelo logístico. La biomasa se …

[HTML][HTML] Forecast model for dephosphorization process of ferromanganese steels using artificial neural networks

LV Monteiro, AMO Santanna - Matéria (Rio de Janeiro), 2020 - SciELO Brasil
One of the main problems affecting the quality of steel products is the existence of
contaminants in alloy steel, being phosphorus (P) a major contamination element interfering …

The prediction of carbonyl groups during photo-thermal and thermal aging of polymers using artificial neural networks

H Maouz, L Khaouane, S Hanini, Y Ammi… - Algerian Journal of …, 2020 - aljest.net
Major advances in modeling and control are required to meet future technical challenges in
polymers manufacturing. This work investigates the recent applications of artificial neural …

Enhancing industrial decision-making through ML-integrated frameworks and multi-criteria decision-making approach

EM Hala, M Anwar, Z Abdelhamid - 2024 - researchsquare.com
Decision-making in contemporary industrial settings has evolved from intuition to data-
driven methodologies, necessitating efficient handling of vast datasets. Conventional Multi …

[PDF][PDF] Dynamic simulation of chemical Kinetics in Microcontroller

RD Pereira Filho, V Furlong… - International Journal of …, 2014 - researchgate.net
Arduino boards are interesting computational tools due to low cost and power consumption,
as well as I/O ports, both analogs and digitals. Yet, small memory and clock frequency with …

[PDF][PDF] Mathematical modeling of batch antibiotic production: Comparative analysis between phenomenological and empirical approaches

SC Oliveira - Journal of Bioprocessing & Biotechniques, 2017 - researchgate.net
Mathematical Modeling of Batch Antibiotic Production: Comparative Analysis between
Phenomenological and Empirical Approaches Page 1 Research Article OMICS International …