Výsledky vyhledávání

Techno-Economic Analysis and Neuro-Fuzzy Production Rate Prediction of Sorghum (Sorghum bicolor) Leaf Shealth Colourant Extract Production

Autor: F. I. Abam, C. J. Ude, Oladayo Adeyi, P. C. Nnaji, E. O. Oke, B. I. Okolo, J. Ayanyemi

Publikováno v: Agricultural Research. 11:579-589

In this work, process simulation, techno-economic study and Neuro-Fuzzy (NF) production rate prediction of colourant extract production from Sorghum (Sorghum bicolor) Leaf Shealth (SBLS) were studied. The Base Case Simulation (BCS) material and energ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::03acea9cb435b5d2655a8c969f3d480b
https://doi.org/10.1007/s40003-021-00596-2

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Bioactive Extract Production from Citrullus Clocynthis Fruit via Microwave-Assisted Extraction: Experimental Optimization, Process Design and Economics with Uncertainty Quantification

Autor: E. O. Oke, B. I. Okolo, O. Adeyi, J. A. Adeyi, J. A. Otolorin, D. Nnabodo, C. J. Ude, S. E. Okhale, J. A. Adeyanju, A. G. Adeniyi, E. Eleanyan, S. O. Agbai

Publikováno v: Journal of Pharmaceutical Innovation.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::23d118b57770a70a85299415f6149fdc
https://doi.org/10.1007/s12247-022-09676-4

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Black-box modelling, bi-objective optimization and ASPEN batch simulation of phenolic compound extraction from Nauclea latifolia root

Autor: J.A. Adeyi, P. C. Nnaji, O.O. Agbede, Oladayo Adeyi, B. I. Okolo, K.A. Osoh, C. J. Ude, E. O. Oke

Publikováno v: Heliyon, Vol 7, Iss 1, Pp e05856-(2021)

Nauclea latifolia root (NLR) extract is one of phytochemicals used to treat various ailments in most of developing countries. This investigation focuses on modelling, optimization and computer-aided simulation of phenolic solid-liquid extraction from

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bbe4f8f39fba9599757db3de2280134
http://www.sciencedirect.com/science/article/pii/S2405844020326980

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Parametric analysis and soft-computing prediction of sweet potatoes (Ipomoea batatas L) starch drying using machine learning techniques

Autor: B. I. Okolo, Oladayo Adeyi, C. J. Ude, J. Ayanyemi, E. O. Oke, P. C. Nnaji, F.N. Osuolale

Publikováno v: SN Applied Sciences. 2

This study is based on parametric selection and prediction of sweet potatoes starch drying using Regression Tree (RT), Support Vector Machine (SVM) and Neuro-Fuzzy (NF) soft-computing techniques. The drying experiments are conducted at Drying Tempera

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4538470afe4c00391b04c679a367930e
https://doi.org/10.1007/s42452-020-03378-7

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Black-box modelling, bi-objective optimization and ASPEN batch simulation of phenolic compound extraction from

Autor: E O, Oke, B I, Okolo, O, Adeyi, O O, Agbede, P C, Nnaji, J A, Adeyi, K A, Osoh, C J, Ude

Publikováno v: Heliyon

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::e5922180e497f2543f09b20941448283
https://pubmed.ncbi.nlm.nih.gov/33437887

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Heterogeneously catalyzed biodiesel production from Azadiricha Indica oil: Predictive modelling with uncertainty quantification, experimental optimization and techno-economic analysis

Autor: Oladayo Adeyi, I. Nzeribe, B. I. Okolo, K. K. Salam, Ugochukwu Nwokie, E. O. Oke, J.A. Adeyi, C. J. Ude

Publikováno v: Bioresource Technology. 332:125141

This study presents predictive modelling with uncertainty analysis, optimization and techno-economic feasibility of Bio-catalyzed Biodiesel Production from Azidirica Indica Oil (BCBPAIO). Central Composite Design (CCD) predictive model and optimum co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45a92d1e097832ffa5b7cd99cb3e3928
https://doi.org/10.1016/j.biortech.2021.125141

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