Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Moses A. Agebure"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 5, Pp 1718-1729 (2022)
Road surface anomaly detection and classification based on crowd-sourced smart phone sensor data has become an important area of research over the last decade due to its potential benefits to road maintenance. Previous studies focused on paved roads
Externí odkaz:
https://doaj.org/article/45001d93b85a41a187e345ae7712b40f
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:1718-1729
Road surface anomaly detection and classification based on crowd-sourced smart phone sensor data has become an important area of research over the last decade due to its potential benefits to road maintenance. Previous studies focused on paved roads
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09373994b5fce3f9b8f37c766cb7125a
https://doi.org/10.1016/j.jksuci.2020.08.012
https://doi.org/10.1016/j.jksuci.2020.08.012
Publikováno v:
Asian Journal of Research in Computer Science. :35-49
There has been a significant attempt to derive supervised learning models for training Spiking Neural Networks (SNN), which is the third and most recent generation of Artificial Neural Network (ANN). Supervised SNN learning models are considered more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44d03f5b8700b9ae804064fa94a94496
https://doi.org/10.9734/ajrcos/2021/v9i430228
https://doi.org/10.9734/ajrcos/2021/v9i430228
Publikováno v:
AFRICON
Information in spiking neural network is encoded using the precise timing of spikes as done in biological neural systems. Neurons learn from these spikes based on their timing. It is evident that supervised learning do occur in biological neural syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d5b15d4c0c9a2678eb23b0d2aceb52c
https://doi.org/10.1109/africon46755.2019.9134053
https://doi.org/10.1109/africon46755.2019.9134053
Publikováno v:
International Journal of Machine Learning and Computing. 6:205-214
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26713956d0d16c1bae0cabfd2066be34
https://doi.org/10.18178/ijmlc.2016.6.3.599
https://doi.org/10.18178/ijmlc.2016.6.3.599