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ORCIDUdoinyang G. Inyang
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Journal Articles
- 2020
[j9]Udoinyang Godwin Inyang, Emem Etok Akpan, Oluwole Charles Akinyokun:
A Hybrid Machine Learning Approach for Flood Risk Assessment and Classification. Int. J. Comput. Intell. Appl. 19(2): 2050012:1-2050012:20 (2020)- [j8]Imo Jeremiah Eyoh
, Uduak Augustine Umoh, Udoinyang Godwin Inyang, Jeremiah Effiong Eyoh:
Derivative-Based Learning of Interval Type-2 Intuitionistic Fuzzy Logic Systems for Noisy Regression Problems. Int. J. Fuzzy Syst. 22(3): 1007-1019 (2020) - 2019
- [j7]Oluwole Charles Akinyokun, Emem Etok Akpan, Udoinyang G. Inyang:
Design of a hybrid intelligent system for the management of flood disaster risks. Artif. Intell. Res. 8(1): 14-24 (2019) - [j6]Udoinyang G. Inyang, Uduak Augustine Umoh, Ifeoma C. Nnaemeka, Samuel A. Robinson:
Unsupervised Characterization and Visualization of Students' Academic Performance Features. Comput. Inf. Sci. 12(2): 103-116 (2019) - 2018
- [j5]Moses Ekpenyong, Udoinyang G. Inyang, Emem Obong Udoh:
Unsupervised visualization of Under-resourced speech prosody. Speech Commun. 101: 45-56 (2018) - 2017
- [j4]S. S. Udoh, Oluwole Charles Akinyokun, Udoinyang G. Inyang, Oluwaseun Franklin Olabode, Iwasokun Gabriel Babatunde:
Discrete event based hybrid framework for petroleum products pipeline activities classification. Artif. Intell. Res. 6(2): 39-50 (2017) - 2014
- [j3]Udoinyang G. Inyang, Oluwole Charles Akinyokun:
A hybrid knowledge discovery system for oil spillage risks pattern classification. Artif. Intell. Res. 3(4): 77-86 (2014) - 2013
- [j2]Oluwole Charles Akinyokun, Udoinyang G. Inyang:
Experimental study of neuro-fuzzy-genetic framework for oil spillage risk management. Artif. Intell. Res. 2(4): 13-36 (2013) - [j1]Udoinyang G. Inyang, Enobong E. Joshua:
Fuzzy Clustering of Students' Data Repository for At-Risks Students Identification and Monitoring. Comput. Inf. Sci. 6(4): 37-50 (2013)
Conference and Workshop Papers
- 2019
- [c8]Oluwole Charles Akinyokun, Udoinyang Godwin Inyang, Emem Etok Akpan:
Implementation of a Hybridized Machine Learning Framework for Flood Risk Management. IntelliSys (2) 2019: 268-291 - [c7]Udoinyang G. Inyang, Moses Effiong Ekpenyong:
Hybridised Deep Ensemble Learning for Tone Pattern Recognition. LCT 2019: 46-64 - [c6]Uduak Augustine Umoh, Udoinyang G. Inyang, Emmanuel E. Nyoho:
A Hybrid Framework for Fire Outbreak Detection Based on Interval Type-2 Fuzzy Logic and Flower Pollination Algorithm. SocProS (2) 2019: 27-45 - 2017
- [c5]Moses Ekpenyong, Udoinyang G. Inyang, Nnamso Umoh, Temitope Fakiyesi, Okokon Akpan, Nseobong Uto:
Speaker Variability for Emotions Classification in African Tone Languages. LCT 2017: 174-185 - 2016
- [c4]Moses Effiong Ekpenyong, Udoinyang G. Inyang, Imeh J. Umoren:
Towards a Hybrid Learning Approach to Efficient Tone Pattern Recognition. ICAISC (1) 2016: 571-583 - [c3]Moses Effiong Ekpenyong, Udoinyang G. Inyang:
Unsupervised mining of under-resourced speech corpora for tone features classification. IJCNN 2016: 2374-2381 - 2015
- [c2]Moses Effiong Ekpenyong, Udoinyang G. Inyang, Victor E. Ekong:
Intelligent Speech Features Mining for Robust Synthesis System Evaluation. LTC 2015: 3-18 - 2013
- [c1]Moses Effiong Ekpenyong, Udoinyang G. Inyang, Emem Obong Udoh:
Adaptive Prosody Modelling for Improved Synthetic Speech Quality. LTC 2013: 16-28
Coauthor Index
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