Zobrazeno 1 - 6
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pro vyhledávání: '"Emmanuel N. Osegi"'
Autor:
Emmanuel N. Osegi
Publikováno v:
Applied Computing and Informatics. 17:264-278
In this paper, an emerging state-of-the-art machine intelligence technique called the Hierarchical Temporal Memory (HTM) is applied to the task of short-term load forecasting (STLF). A HTM Spatial Pooler (HTM-SP) stage is used to continually form spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53382c8ce4bd87014aab27e644a62dd2
https://doi.org/10.1016/j.aci.2018.09.002
https://doi.org/10.1016/j.aci.2018.09.002
Publikováno v:
Nigerian Journal of Technology; Vol. 40 No. 4 (2021); 728-731
This paper presents the capability of an emerging swarm intelligence technique for power loss minimization known as the Artificial Bee Colony (ABC) used in the context of an Alternative Load Flow Analysis (LFA) technique (ABC-LFA) for the solution of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72d5bf191b70d5e4baf3fd89fa3da503
https://www.ajol.info/index.php/njt/article/view/216647
https://www.ajol.info/index.php/njt/article/view/216647
Publikováno v:
AFRICON
In this paper, a novel approach for predicting voltage collapse point based on a quadratic line voltage stability index (q-LVSI) and an auditory machine intelligence technique called the AMI is presented. The technique is applied to some buses of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ff14922c4aa8d9919b46a165e924641
https://doi.org/10.1109/africon46755.2019.9133915
https://doi.org/10.1109/africon46755.2019.9133915
Autor:
C. G. Onukwugha, Emmanuel N. Osegi
Oil and gas pipeline vandalism is a recurrent problem in oil rich zones of Nigeria and its West African neighbors and remains a challenge for multinationals to set ahead control measures to avert possible damages to operations both in infrastructure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d50f6afe06a978bfb415414ca3180959
https://doi.org/10.20944/preprints201808.0194.v1
https://doi.org/10.20944/preprints201808.0194.v1
Publikováno v:
2017 IEEE 3rd International Conference on Electro-Technology for National Development (NIGERCON).
A novel approach to the fault location estimation and prediction analysis in doubly fed power transmission lines is presented. This approach uses an Artificial Intelligence (AI) technique and technology called the Hierarchical Temporal Memory (HTM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b6074850ccfe0e1ddc3cac3f50d408b
https://doi.org/10.1109/nigercon.2017.8281973
https://doi.org/10.1109/nigercon.2017.8281973
Autor:
Vincent Ike Anireh, Emmanuel N. Osegi
Publikováno v:
International Journal of Swarm Intelligence. 4:20
In this paper, we present an open-source software tool 'ABC-PLOSS', which is developed for use in optimisation processes. Path-loss optimisation deals with searching for the best set of operator-specific parameters in telecommunication that gives the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::699b126779817857b7c202f3724946d0
https://doi.org/10.1504/ijsi.2019.10018582
https://doi.org/10.1504/ijsi.2019.10018582