Zobrazeno 1 - 10
of 45
pro vyhledávání: '"G Ajayi"'
Autor:
Y Omotosho Adebola, O Ogunsemi Olawale, A Fasesan Oluwatoyin, J Sodeinde Kolawole, O Adefala Ngozi, O Ogunkoya John, O Osinaike Abiodun, Amaike Chikwendu, G Ajayi Fisayo, A Abiodun Olumide
Publikováno v:
Archives of Mental Health, Vol 25, Iss 2, Pp 155-161 (2024)
Background: Mental health problems are common in the elderly; they often go unnoticed, ignored, untreated, or considered part of normal aging. About a quarter of the Nigerian population have mental health problems, out of which 3.26% are elderly. Aim
Externí odkaz:
https://doaj.org/article/120c5a144a22464ea85d7e80f1c6a5af
Autor:
O. G. Ajayi, O. O. Olufade
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-1-W1-2023, Pp 991-998 (2023)
This study investigates the application of deep learning techniques, specifically ResNet architectures, to automate crop type identification using remotely sensed data collected by a DJI Mavic Air drone. The imagery was captured at an altitude of 30
Externí odkaz:
https://doaj.org/article/755384c88f254d3282f7980943b51008
Autor:
Adebola, Y Omotosho, Olawale, O Ogunsemi, Oluwatoyin, A Fasesan, Kolawole, J Sodeinde, Ngozi, O Adefala, John, O Ogunkoya, Abiodun, O Osinaike, Chikwendu, Amaike, Fisayo, G Ajayi, Olumide, A Abiodun
Publikováno v:
Archives of Mental Health; Jul-Dec2024, Vol. 25 Issue 2, p155-161, 7p
Autor:
O. G. Ajayi
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 559-566 (2020)
Automatic detection and extraction of corresponding features is very crucial in the development of an automatic image registration algorithm. Different feature descriptors have been developed and implemented in image registration and other discipline
Externí odkaz:
https://doaj.org/article/75b70eb775844bf5b5efbc53dd3c4484
Autor:
Olusola Gabriel Omogunloye, M. O. Yaqub, Babatunde Moses Ojegbile, J. O. Odumosu, O. G. Ajayi
Publikováno v:
Geoinformatics FCE CTU, Vol 17, Iss 1, Pp 45-60 (2018)
AbstractComparison of orthometric heights obtained from the combination of GPS/Levelling survey method with that obtained from Lidar, Srtm, and Astergdem data is an area of research which is of great interest to Geomaticians. This area of research ma
Externí odkaz:
https://doaj.org/article/22a49c103fab4c39b8e3e1cd9ab06870
Publikováno v:
Journal of Advances in Microbiology. :72-85
The utilization of plant materials as alternative therapies to control pathogenic bacteria has recently attracted. The effect of the fresh seed, freeze-dried seed, fresh leaf and freeze-dried leaf of using ethanol and aqueous extracts was tested on s
Publikováno v:
Environmental Technology and Science Journal; Vol. 12 No. 2 (2021); 58-70
Flooding is one of the most devastating natural disasters occurring annually in many parts of the world. This study investigates the performance of DEM with different spatial resolution in flood modelling along the floodplain of Shiroro dam, Nigeria.
Autor:
C O Adeoti, Izuka A. Okwudishu, Olubusayo O. Adejumo, Benedictus G Ajayi, Bade Ogundipe, Omodele O.A Jagun
Publikováno v:
International Journal of Research and Scientific Innovation. :56-58
Publikováno v:
Journal of Chemical Society of Nigeria. 46
Afraegle paniculata (Schumach. & Thonn.) Engl. commonly known as Nigerian powder-flask is a plant of rutaceae family found in West Africa from Senegal to Nigeria. The chemical composition of seeds and seed oil of Afraegle paniculata were evaluated in
Publikováno v:
Clinical Ophthalmology (Auckland, N.Z.)
Ugbede Idakwo,1 Olusola Olawoye,2 Benedictus GK Ajayi,1 Robert Ritch3 1Eleta Eye Institute, Ibadan, Nigeria; 2Department of Ophthalmology, College of Medicine, University of Ibadan, Ibadan, Nigeria; 3Einhorn Clinical Research Center, Department of Op