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Dr Somtochukwu Godfrey Nnabuife
Dr Somtochukwu Godfrey Nnabuife
Verified email at cranfield.ac.uk
Title
Cited by
Cited by
Year
Hydrogen production, distribution, storage and power conversion in a hydrogen economy-a technology review
BC Tashie-Lewis, SG Nnabuife
Chemical Engineering Journal Advances 8, 100172, 2021
642021
Identification of gas-liquid flow regimes using a non-intrusive Doppler ultrasonic sensor and virtual flow regime maps
SG Nnabuife, KES Pilario, L Lao, Y Cao, M Shafiee
Flow Measurement and Instrumentation 68, 101568, 2019
472019
Present and projected developments in hydrogen production: a technological review
SG Nnabuife, J Ugbeh-Johnson, NE Okeke, C Ogbonnaya
Carbon Capture Science & Technology, 100042, 2022
402022
Non-intrusive classification of gas-liquid flow regimes in an S-shaped pipeline riser using a Doppler ultrasonic sensor and deep neural networks
SG Nnabuife, B Kuang, JF Whidborne, Z Rana
Chemical Engineering Journal 403, 126401, 2020
282020
Pseudo-image-feature-based identification benchmark for multi-phase flow regimes
B Kuang, SG Nnabuife, Z Rana
Chemical Engineering Journal Advances 5, 100060, 2021
142021
Prospects of Low and Zero-Carbon Renewable fuels in 1.5-Degree Net Zero Emission Actualisation by 2050: A Critical Review
OC Anika, SG Nnabuife, A Bello, RE Okoroafor, B Kuang, R Villa
Carbon Capture Science & Technology, 100072, 2022
132022
Development of gas-liquid flow regimes identification using a noninvasive ultrasonic sensor, belt-shape features, and convolutional neural network in an S-shaped riser
SG Nnabuife, B Kuang, JF Whidborne, ZA Rana
IEEE Transactions on Cybernetics, 2021
82021
Venturi multiphase flow measurement based active slug control
SG Nnabuife, J Whidborne, L Lao, Y Cao
2019 25th International Conference on Automation and Computing (ICAC), 1-6, 2019
82019
Slug flow control using topside measurements: A review
SG Nnabuife, H Tandoh, JF Whidborne
Chemical Engineering Journal Advances 9, 100204, 2022
62022
Gas-liquid flow regimes identification using non-intrusive Doppler ultrasonic sensor and convolutional recurrent neural networks in an s-shaped riser
B Kuang, SG Nnabuife, S Sun, JF Whidborne, ZA Rana
Digital Chemical Engineering 2, 100012, 2022
62022
Classification of flow regimes using a neural network and a non-invasive ultrasonic sensor in an S-shaped pipeline-riser system
SG Nnabuife, B Kuang, ZA Rana, J Whidborne
Chemical Engineering Journal Advances 9, 100215, 2022
52022
Development of gas-liquid slug flow measurement using continuous-wave doppler ultrasound and bandpass power spectral density
SG Nnabuife, P Sharma, E Iyore Aburime, PL Lokidor, A Bello
ChemEngineering 5 (1), 2, 2021
42021
Exergy Analysis and Evaluation of the Different Flowsheeting Configurations for CO2 Capture Plant Using 2-Amino-2-Methyl-1-Propanol (AMP)
E Osagie, AM Aliyu, SG Nnabuife, O Omoregbe, V Etim
Processes 7 (6), 391, 2019
42019
Slug flow control in an S-shape pipeline-riser system using an ultrasonic sensor
SG Nnabuife, H Tandoh, J Whidborne
Digital Chemical Engineering 2, 100005, 2022
32022
Machine Learning Based Flow Regime Identification using Ultrasonic Doppler Data and Feature Relevance Determination
R Roxas II, MA Evangelista, JA Sombillo, SG Nnabuife, KE Pilario
Digital Chemical Engineering 3, 100024, 2022
22022
Investigation of Water Droplet Size Distribution in Conventional and Sustainable Aviation Turbine Fuels
JU Johnson, M Carpenter, NE Okeke, SG Nnabuife, N Mai
SAE International Journal of Fuels and Lubricants 4 (15), 3, 2022
12022
A Computational Fluid Dynamics Study of Flared Gas for Enhanced Oil Recovery Using a Micromodel
S Were, SG Nnabuife, B Kuang
AppliedMath 2 (4), 738-757, 2022
2022
Slug flow regime in a flowline with U-shape riser
H Tandoh, SG Nnabuife, Y Cao, L Lao, J Whidborne
Case Studies in Chemical and Environmental Engineering 6, 100265, 2022
2022
Semantic Terrain Segmentation in the Navigation Vision of Planetary Rovers—A Systematic Literature Review
B Kuang, C Gu, ZA Rana, Y Zhao, S Sun, SG Nnabuife
Sensors 22 (21), 8393, 2022
2022
Exergy Analysis and Evaluation of the Different Flowsheeting Using 2-Amino-2-Methyl-1-Propanol Configurations for CO2 (AMP) Capture Plant
E Osagie, AM Aliyu, SG Nnabuife, O Omoregbe, V Etim
Gas Capture Processes, 27, 2020
2020
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