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20152024
most citedA Multi-Gene Genetic Programming Application for Predicting Students Failure at School

6 citations · 20 across the 13 of their papers we have counts for

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Showing 2015Show all

7 papers · 1 filter

cs.CE2015

PTILE: A framework for the Evaluation of Power Transformer Insulation Life in Electric Power System

Nelson O. Ogbogu, Theophilus C. Madueme, Emmanuel N. Osegi

In this paper, a framework is developed for power transformer (Generator Step up Unit) insulation life evaluation (PTILE) study on power system Network. Parameters used for studies…

cs.CV2015

A Generative Model for Multi-Dialect Representation

Emmanuel N. Osegi

In the era of deep learning several unsupervised models have been developed to capture the key features in unlabeled handwritten data. Popular among them is the Restricted Boltzman…

cs.NE2015★ 1 cited

Learning Representations from Deep Networks Using Mode Synthesizers

N. E. Osegi, P. Enyindah

Deep learning Networks play a crucial role in the evolution of a vast number of current machine learning models for solving a variety of real world non-trivial tasks. Such networks…

cs.SI2015★ 1 cited

Hybrid Social Networking Application for a University Community

O. Chigozie, P. Williams, N. E. Osegi

A hybrid social network for building social communities for a university community is presented. The system employed the semantic ontology for an offline/online social network site…

cs.DS2015★ 1 cited

Modified Dijkstra Algorithm with Invention Hierarchies Applied to a Conic Graph

Ugochi A. Okengwu, Enoch O. Nwachukwu, Emmanuel N. Osegi

A modified version of the Dijkstra algorithm using an inventive contraction hierarchy is proposed. The algorithm considers a directed acyclic graph with a conical or semi-circular…

cs.CY2015★ 6 cited

A Multi-Gene Genetic Programming Application for Predicting Students Failure at School

J. O. Orove, N. E. Osegi, B. O. Eke

Several efforts to predict student failure rate (SFR) at school accurately still remains a core problem area faced by many in the educational sector. The procedure for forecasting…