Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Pius Adewale"'
Publikováno v:
AI, Vol 5, Iss 3, Pp 1235-1254 (2024)
Recognising patterns and inferring nonlinearities between data that are seemingly random and stochastic in nature is one of the strong suites of machine learning models. Given a set of features, the ability to distinguish between useful features and
Externí odkaz:
https://doaj.org/article/3accc926213847d2bb79ec019ee9b628
Publikováno v:
Atmosphere, Vol 15, Iss 11, p 1354 (2024)
The devastating effects of rain-induced attenuation on communication links operating above 10 GHz during rainy events can significantly degrade signal quality, leading to interruptions in service and reduced data throughput. Understanding the spatial
Externí odkaz:
https://doaj.org/article/9adf987b93774ec1a4ab454e691b13b4
Publikováno v:
Computers, Vol 13, Iss 11, p 286 (2024)
Security has been paramount to many organizations for many years, with access control being one of the critical measures to ensure security. Among various approaches to access control, vehicle plate number recognition has received wide attention. How
Externí odkaz:
https://doaj.org/article/5fd7f64191e44e268fb72c55503cb28b
Publikováno v:
Vehicles, Vol 5, Iss 4, Pp 1844-1862 (2023)
One of the world’s challenges is the amount of traffic on the roads. Waiting for the green light is a major cause of traffic congestion. Low throughput rates and eventual congestion come from many traffic signals that are hard coded, irrespective o
Externí odkaz:
https://doaj.org/article/cff44dbbb807424ebda049854dc2e5a1
Autor:
Hlaudi Daniel Masethe, Mosima Anna Masethe, Sunday Olusegun Ojo, Fausto Giunchiglia, Pius Adewale Owolawi
Publikováno v:
Information, Vol 15, Iss 9, p 540 (2024)
In natural language processing, word sense disambiguation (WSD) continues to be a major difficulty, especially for low-resource languages where linguistic variation and a lack of data make model training and evaluation more difficult. The goal of thi
Externí odkaz:
https://doaj.org/article/59ff08e378a34bed97fc2430a5705f86
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2326 (2024)
Transfer learning (TL) utilizes knowledge from the source domain (SD) to enhance the classification rate in the target domain (TD). It has been widely used to address the challenge of sessional and inter-subject variations in electroencephalogram (EE
Externí odkaz:
https://doaj.org/article/c0bbda86d3a54d62adf20f5316ef43a9
Publikováno v:
IEEE Access, Vol 10, Pp 96821-96839 (2022)
A cognitive alteration in the form of diverse mental states has a significant impact on the performance of electroencephalography (EEG) based brain computer interface (BCI). Such alterations include a change in concentration levels commonly recognize
Externí odkaz:
https://doaj.org/article/8ea78596a1d84c889fd7858353715b7f
Publikováno v:
IEEE Access, Vol 10, Pp 14857-14869 (2022)
This research paper studies the performance analysis of a reconfigurable intelligent surface (RIS)-assisted high altitude platform station (HAPS) relaying communication network for multiple ground users. Owing to transmission blockage between the sou
Externí odkaz:
https://doaj.org/article/9b2e89ce5d2d4eb0970c719f433f3cac
Publikováno v:
Vehicles, Vol 3, Iss 4, Pp 646-660 (2021)
This paper presents licence-plate recognition for identifying vehicles with similar licence-plates. The method uses a modified licence-plate recognition pipeline, with licence-plate template matching replacing character segmentation and recognition.
Externí odkaz:
https://doaj.org/article/4516925c29cd41fcafe264d3a13b5565
Publikováno v:
Applied Sciences, Vol 13, Iss 8, p 5205 (2023)
Transfer learning (TL) has been proven to be one of the most significant techniques for cross-subject classification in electroencephalogram (EEG)-based brain-computer interfaces (BCI). Hence, it is widely used to address the challenges of cross-sess
Externí odkaz:
https://doaj.org/article/6765bc3233e34042a183b34b49e77aea