Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Olusayo Obajemu"'
Publikováno v:
Engineering Proceedings, Vol 58, Iss 1, p 116 (2023)
The ranking and evaluation of a surgeon’s surgical skills is an important factor in order to be able to appropriately assign patient cases according to the necessary level of surgeon competence in addition to helping us in the process of pinpointin
Externí odkaz:
https://doaj.org/article/11f1dca509924907a3026365a23ba6c6
Autor:
Ejay Nsugbe, Oluwarotimi Williams Samuel, Jose Javier Reyes-Lagos, Dawn Adams, Olusayo Obajemu
Publikováno v:
Engineering Proceedings, Vol 58, Iss 1, p 125 (2023)
The effective prediction of preterm labor continues to be a topic of interest for research within pregnancy medicine, where uterine muscle contraction signals have shown to be insightful to predict a potential preterm birth. Magnetomyography (MMG) is
Externí odkaz:
https://doaj.org/article/3058f9f3084241038a2c145df522a5c9
Autor:
Olusayo Obajemu, Mahdi Mahfouf, Lohithaksha M. Maiyar, Abrar Al-Hindi, Michal Weiszer, Jun Chen
Publikováno v:
Engineering, Vol 7, Iss 4, Pp 495-506 (2021)
Aircraft ground movement plays a key role in improving airport efficiency, as it acts as a link to all other ground operations. Finding novel approaches to coordinate the movements of a fleet of aircraft at an airport in order to improve system resil
Externí odkaz:
https://doaj.org/article/2c35426d530d4850beb7b9261ec886df
Publikováno v:
Machine Learning with Applications, Vol 6, Iss , Pp 100110- (2021)
Preterm births are one of the main causes of death in children under the age of 5; they carry financial implications to the economy and cause exceptional psychological distress to mothers and their families. Prior work has been done in the applicatio
Externí odkaz:
https://doaj.org/article/052ea4ae990a43f2b9d79c82b76c35cf
Publikováno v:
Machine Learning with Applications, Vol 5, Iss , Pp 100066- (2021)
This paper investigates the application of magnetomyography (MMG) signals from uterine contractions in pregnant patients towards the prediction of labour imminency within or above 48 h. The study utilised the MMG signals collected from a host of preg
Externí odkaz:
https://doaj.org/article/88cca5b01aac474f8ca489fec02a13b0
Autor:
Lohithaksha M. Maiyar, Abrar Al-Hindi, Mahdi Mahfouf, Michal Weiszer, Jun Chen, Olusayo Obajemu
Publikováno v:
Engineering, Vol 7, Iss 4, Pp 495-506 (2021)
Aircraft ground movement plays a key role in improving airport efficiency, as it acts as a link to all other ground operations. Finding novel approaches to coordinate the movements of a fleet of aircraft at an airport in order to improve system resil
Publikováno v:
Machine Learning with Applications, Vol 6, Iss, Pp 100110-(2021)
Preterm births are one of the main causes of death in children under the age of 5; they carry financial implications to the economy and cause exceptional psychological distress to mothers and their families. Prior work has been done in the applicatio
Autor:
Olusayo Obajemu, Oluwarotimi Williams Samuel, Ibrahim Sanusi, Mojisola Grace Asogbon, Guanglin Li, Ejay Nsugbe
Publikováno v:
MetroInd4.0&IoT
Magnetomyography (MMG) has shown promise in being able to non-invasively acquire magnetic field signals associated with uterine contractions, which in turn can be used to forecast labour immanency and carries clinical appeal. Despite these results, M
Autor:
Mahdi Mahfouf, D.J. Allerton, Jun Chen, Michal Weiszer, Changjiang He, Lohithaksha M. Maiyar, Olusayo Obajemu
Publikováno v:
2020 IEEE Aerospace Conference.
Air traffic at many airports around the world is expected to grow, more often than not and at near capacity. Investing in new infrastructure is an option albeit relatively long-term but making a better use of existing facilities is an even better sho
Publikováno v:
IJCCI