Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chiebuka T. Nnodim"'
Autor:
Anthony O. Onokwai, Imhade P. Okokpujie, Emmanuel S. A. Ajisegiri, Chiebuka T. Nnodim, Joseph F. Kayode, Lagouge K. Tartibu
Publikováno v:
Advances in Materials and Processing Technologies. :1-19
Autor:
Micheal Olaolu Arowolo, Marion O. Adebiyi, S. O. Abdulsalam, Ayodele Ariyo Adebiyi, Chiebuka T. Nnodim
Publikováno v:
Walailak Journal of Science and Technology (WJST). 18
As mosquito parasites breed across many parts of the sub-Saharan Africa part of the world, infected cells embrace an unpredictable and erratic life period. Millions of individual parasites have gene expressions. Ribonucleic acid sequencing (RNA-seq)
Autor:
Blessing D. Agboola, Micheal Olaolu Arowolo, Moses Kazeem Abiodun, Roseline Oluwaseun Ogundokun, Chiebuka T. Nnodim
Presently, the move towards a more complex and multidisciplinary system development is increasingly important in order to understand and strengthen engineering approaches for the systems in the engineering field. This will lead to the effective and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::546d3d9afb759e327c91a9e6cec1403b
https://zenodo.org/record/5787628
https://zenodo.org/record/5787628
Publikováno v:
Transactions on Engineering Technologies ISBN: 9789811592089
The process of pressing mango fruits to check for their ripeness has caused mechanical damages. In order to reduce this damage, two varieties of mangoes namely Totapuri and Tommy Atkins were tested by an advanced universal testing machine (UTM). Each
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c6f861fe73bd7cfd4619a72ff3bad0b
https://doi.org/10.1007/978-981-15-9209-6_5
https://doi.org/10.1007/978-981-15-9209-6_5
Autor:
S. O. Abdulsalam, Ronke Seyi Babatunde, Chiebuka T. Nnodim, Abubakar Adamu Mohammed, Roseline Oluwaseun Ogundokun, Jumoke Falilat Ajao, Micheal Olaolu Arowolo
Publikováno v:
Information Systems ISBN: 9783030633950
EMCIS
EMCIS
A significant application of microarray gene expression data is the classification and prediction of biological models. An essential component of data analysis is dimension reduction. This study presents a comparison study on a reduced data using Ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2027a45295d63e58b9d0e4db37927bd3
https://doi.org/10.1007/978-3-030-63396-7_32
https://doi.org/10.1007/978-3-030-63396-7_32