Ikechukwu Ignatius Ayogu

Publications

Citations

H-Index

2017

Active since

Affiliations

Federal University of Technology Owerri(Current)

Ikechukwu Ignatius Ayogu is an author at Federal University of Technology Owerri specializing in engineering, machine learning, and anomaly detection.

ORCID

Top concepts

EngineeringData ScienceMachine LearningAnomaly DetectionEdge AiGrammarLanguageSmart CitySmart GridData Mining

Publications per year

2017–2022

Publications

Network Intrusion Detection Models based on Naives Bayes and C4.5 Algorithms

Olamatanmi Josephine Mebawondu, Olugbemiga Solomon Popoọla, Ikechukwu Ignatius Ayogu et al. · 2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON) · 2022 · 14 citations

Anomaly Detection, Machine Learning, Engineering +17

Multi-Label Classification of Hate Speech Severity on Social Media using BERT Model

Bakwa Dunka Dirting, Gloria A. Chukwudebe, Euphemia Chioma Nwokorie et al. · 2022 IEEE Nigeria 4th International Conference on Disruptive Technologies for Sustainable Development (NIGERCON) · 2022 · 12 citations

A comparative study of hidden Markov model and conditional random fields on a Yorùba part-of-speech tagging task

Ikechukwu Ignatius Ayogu, Adebayọ Olusọla Adetunmbi, Bolanle Adefowoke Ojokoh et al. · 2017 · 11 citations

Engineering, Machine Learning, Part-of-speech Tagging +20

Leveraging Artificial Intelligence of Things for Anomaly Detection in Advanced Metering Infrastructures

Reginald E. Ogu, Charles Ikerionwu, Ikechukwu Ignatius Ayogu · 2021 · 11 citations

Artificial Intelligence, Anomaly Detection, Engineering +21

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