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Akademický článek

Purification and Partial Characterization of Cellulase Produced by Aspergillus niger Cultured on Vitellaria paradoxa shells

Autor: A. O. Sulyman, Y. A. Iyanda, A. O. Opasola, O. Adedayo, R. A. Aladodo, A. Balogun, O. A. Ajibola, O. Z. Olutokun, B. A. Hammed

Publikováno v: Fountain Journal of Natural and Applied Sciences (FUJNAS), Vol 6, Iss 2 (2017)

This research investigated the purification and partial characterization of cellulase produced by Aspergillus niger cultured on Vitellaria paradoxa shells. Cellulase (endoglucanase) from A. niger was produced under optimum fermentation conditions at

Externí odkaz: https://doaj.org/article/1ad90520919a41ab898a7568e70f3664

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Akademický článek

Public-Private-Partnership for Effective Delivery of Technical Vocational Education in Enhancing Graduate Employability Skills During The Era of Covid-19 Pandemic in Nigeria

Autor: Oladiran Stephen Olabiyi, Sunday Odunayo Okeowo, Gideon O Adedayo, Akinseyi Ipinlaye

Publikováno v: Jurnal Pendidikan Teknologi dan Kejuruan, Vol 28, Iss 1, Pp 01-13 (2022)

The study investigates public-private partnerships for enhancing TVE delivery towards graduate employability skills during COVID-19. A survey research design was employed. Three research questions and three null hypotheses, tested. Significance level

Externí odkaz: https://doaj.org/article/60b81c551e384fd58a6c6a2f23b10071

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Simulative Analysis of Metropolitan Electric Distribution Network using Conjugate Gradient Neuro-algorithm with Powell/Beale Restarts

Autor: Ojo O. Adedayo, M. O. Onibonoje, T. E. Fabunmi

Publikováno v: 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e664268b7a3ab834e0bf40ddc6260b07
https://doi.org/10.1109/icecet52533.2021.9698441

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An Intelligent System for Load Forecasting on a Distribution Network

Autor: Ojo O. Adedayo, Saheed Gbadamosi

Publikováno v: Journal of Digital Food, Energy & Water Systems. 2

This paper presents an Adaptive Neuro-Fuzzy Inference system (ANFIS) technique for medium-term load forecasting in a distribution network. This technique is an integrated system consisting of fuzzy logic systems and Artificial Neural network (ANN). T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::921bf5df21cb38cf299fe2ebc61feba1
https://doi.org/10.36615/digitalfoodenergywatersystems.v2i1.550

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Antimicrobial activities and chemical composition of the essential oils from dry peels of C. aurantium

Autor: Ahmed, Abdullah Olayinka, Abdulameed, Hassan Taiye, O Adedayo, Olalade Oluseyi Ayande

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5dcbf0c440b8f4167fac6f768b30ec4b

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Hybridized Technique for Copy-Move Forgery Detection Using Discrete Cosine Transform and Speeded-Up Robust Feature Techniques

Autor: Idris Ismaila, Abdulhamid M. Shafi’i, Joseph A. Ojeniyi, Bolaji O. Adedayo

Publikováno v: International Journal of Image, Graphics and Signal Processing. 10:22-30

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f83f0ce6c68eb58952569d1ff18f1e3c
https://doi.org/10.5815/ijigsp.2018.04.03

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Akademický článek

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Akademický článek

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