Zobrazeno 1 - 10
of 13
pro vyhledávání: '"N. Osegi"'
Publikováno v:
Science View Journal. 4:239-244
In this research paper, a swarm evolutionary modeling technique called the Updated Multi-Objective Ant-Lion Optimizer (UMO-ALO) is applied to the modeling of Open Circuit Voltage (OCV) state-of-charge (SOC) of Lithium-ion cells with cathode-anode com
Publikováno v:
Journal of Advances in Medicine and Medical Research. :30-37
Aims: To determine rubella sero-prevalence (IgG, IgM) and to describe its relation to socio-demographic data among pregnant women in a tertiary institution in Yenagoa, Bayelsa state, South-South, Nigeria. Study Design: This was a descriptive cross se
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
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
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
Publikováno v:
Annals of Oncology. 31:S642
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).
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
Akademický článek
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