Zobrazeno 1 - 10
of 497
pro vyhledávání: '"A. A. Odetola"'
Publikováno v:
Clinical Phytoscience, Vol 6, Iss 1, Pp 1-6 (2020)
Abstract Background Avocado (Persea americana) is one of the plants widely used in ethnomedicine in Nigeria. The present study was aimed at investigating effects of aqueous Avocado (Persea americana) leaf extract on total cholesterol, triacylglycerol
Externí odkaz:
https://doaj.org/article/3532dd6e34944ea8baeedbedfecf2787
Autor:
Alexandra E. Rojek, Benjamin J. McCormick, Joanna Cwykiel, Oluwatobi Odetola, Yasmin Abaza, Nhi Nai, Charles E. Foucar, Rohan K. Achar, Rory M. Shallis, Danielle Bradshaw, Meaghan Standridge, Vamsi Kota, Guru Subramanian Guru Murthy, Talha Badar, Anand A. Patel
Publikováno v:
eJHaem, Vol 5, Iss 4, Pp 728-737 (2024)
Abstract Core‐binding factor acute myeloid leukemia (CBF‐AML) is characterized by the presence of inv(16)/t(16;16) or t(8;21) and is classified as a favorable risk by the 2022 European LeukemiaNet (ELN) guidelines. The CD33‐targeting antibody
Externí odkaz:
https://doaj.org/article/1bfdcf9f323e452da7d543f9693d2ac5
Publikováno v:
BMC Pediatrics, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Adherence with follow-up appointments after a pediatric intensive care unit (PICU) admission is likely a key component in managing post-PICU sequalae. However, prior work on PICU follow-up adherence is limited. The objective of th
Externí odkaz:
https://doaj.org/article/f1e35ba02d1448dea9f8db0039438efc
Autor:
Olorundaisi, Emmanuel, Babalola, Bukola J, Anamu, Ufoma S., Teffo, Moipone L., Kibambe, Ngeleshi M., Ogunmefun, Anthony O., Odetola, Peter, Olubambi, Peter A.
Publikováno v:
In Manufacturing Letters October 2024 41 Supplement:160-169
Autor:
Olorundaisi, Emmanuel, Babalola, Bukola J., Anamu, Ufoma S., Teffo, Moipone L., Kibambe, Ngeleshi Michel, Ogunmefun, Anthony O., Odetola, Peter, Olubambi, Peter A.
Publikováno v:
In Manufacturing Letters October 2024 41 Supplement:153-159
Deep learning applications have achieved great success in numerous real-world applications. Deep learning models, especially Convolution Neural Networks (CNN) are often prototyped using FPGA because it offers high power efficiency and reconfigurabili
Externí odkaz:
http://arxiv.org/abs/2202.09461
The traditional convolution neural networks (CNN) have several drawbacks like the Picasso effect and the loss of information by the pooling layer. The Capsule network (CapsNet) was proposed to address these challenges because its architecture can enc
Externí odkaz:
http://arxiv.org/abs/2109.11041
In this paper, dynamic deployment of Convolutional Neural Network (CNN) architecture is proposed utilizing only IoT-level devices. By partitioning and pipelining the CNN, it horizontally distributes the computation load among resource-constrained dev
Externí odkaz:
http://arxiv.org/abs/2107.05828
Autor:
U.S. Anamu, O.O. Ayodele, E. Olorundaisi, B.J. Babalola, P.I. Odetola, A. Ogunmefun, K. Ukoba, T.-C. Jen, P.A. Olubambi
Publikováno v:
Journal of Materials Research and Technology, Vol 27, Iss , Pp 4833-4860 (2023)
Nearly three decades since the discovery of high entropy alloys (HEAs), it has greeted a broad interest in the field of materials research as a better alternative to conventional alloy materials due to the exceptional combinatorial properties they of
Externí odkaz:
https://doaj.org/article/8014fdf872324f9897d6d11432f595a4
Autor:
Salmanu, Ruth A., Odetola, Titilayo D.
Publikováno v:
In International Journal of Africa Nursing Sciences 2024 20