Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Iyke Maduako"'
Autor:
Iyke Maduako, Chukwuemeka Fortune Igwe, James Edebo Abah, Obianuju Esther Onwuasaanya, Grace Amarachi Chukwu, Franklin Ezeji, Francis Ifeanyi Okeke
Publikováno v:
Journal of Big Data, Vol 9, Iss 1, Pp 1-34 (2022)
Abstract Component fault detection and inventory are one of the most significant bottlenecks facing the electricity transmission and distribution utility establishments especially in developing countries for delivery of efficient services to the cust
Externí odkaz:
https://doaj.org/article/583b56b48ba04af3ba399440614f2779
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 897 (2022)
Computer vision for large scale building detection can be very challenging in many environments and settings even with recent advances in deep learning technologies. Even more challenging is modeling to detect the presence of specific buildings (in t
Externí odkaz:
https://doaj.org/article/3801c63afd9f49638103b2ef1576f77e
Autor:
Do-Hyung Kim, Guzmán López, Diego Kiedanski, Iyke Maduako, Braulio Ríos, Alan Descoins, Naroa Zurutuza, Shilpa Arora, Christopher Fabian
Publikováno v:
Remote Sensing, Vol 13, Iss 15, p 2908 (2021)
Understanding the biases in Deep Neural Networks (DNN) based algorithms is gaining paramount importance due to its increased applications on many real-world problems. A known problem of DNN penalizing the underrepresented population could undermine t
Externí odkaz:
https://doaj.org/article/1a1dd024789a40ebbd114b8caea064b7
Publikováno v:
Transactions in GIS. 25:2641-2659
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edede4514765b45a02179513a6df5567
https://doi.org/10.1111/tgis.12787
https://doi.org/10.1111/tgis.12787
Analysis of the dynamic relationship between traffic accident events and road network topology based on connectivity and graph analytics offers a new approach to identifying, ranking and profiling traffic accident high risk-locations at different lev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30ac6ee4916795d25c97534fe9daadda
http://arxiv.org/abs/2205.02851
http://arxiv.org/abs/2205.02851
Autor:
Iyke Maduako, Kwon Ryul Cha
Publikováno v:
2021 International Conference on Computational Science and Computational Intelligence (CSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f443bb766d54dbf3a091f2b4ebd743c
https://doi.org/10.1109/csci54926.2021.00262
https://doi.org/10.1109/csci54926.2021.00262
Autor:
Obianuju Esther Onwuasoanya, Iyke Maduako, Chukwuemeka Fortune Igwe, Francis Okeke, Franklin Ezeji, Grace Amarachi Chukwu, James Edebo Abah
Component fault detection and inventory are one of the most significant bottlenecks facing the electricity transmission and distribution utility establishments especially in developing countries for delivery of efficient services to the customers and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6e71310b6a1cdf03cdd4bdfc2f8fef0
https://doi.org/10.21203/rs.3.rs-1028973/v1
https://doi.org/10.21203/rs.3.rs-1028973/v1
Autor:
Diego Kiedanski, Alan Descoins, Do-Hyung Kim, Braulio Ríos, Christopher Fabian, Guzmán López, Iyke Maduako, Shilpa Arora, Naroa Zurutuza
Publikováno v:
Remote Sensing, Vol 13, Iss 2908, p 2908 (2021)
Understanding the biases in Deep Neural Networks (DNN) based algorithms is gaining paramount importance due to its increased applications on many real-world problems. A known problem of DNN penalizing the underrepresented population could undermine t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bd3988a85e6b556f75face99cbbb093
https://doi.org/10.3390/rs13152908
https://doi.org/10.3390/rs13152908