Towards TBM Automation: On-The-Fly Characterization and Classification of Ground Conditions Ahead of a TBM Using Data-Driven Approach
Sebbeh-Newton, Sylvanus, Ayawah, Prosper E.A., Azure, Jessica W.A., Kaba, Azupuri G.A., Ahmad, Fauziah, Zainol, Zurinahni, Zabidi, Hareyani
Published in Applied sciences (01.01.2021)
Published in Applied sciences (01.01.2021)
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Journal Article
Analytical and numerical assessment of a preliminary support design - a case study
Sebbeh-Newton, Sylvanus, Abdulazeez Shehu, Shaib, Ayawah, Prosper, Kaba, Azupuri A., Zabidi, Hareyani
Published in Cogent engineering (01.01.2021)
Published in Cogent engineering (01.01.2021)
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Journal Article
A review and case study of Artificial intelligence and Machine learning methods used for ground condition prediction ahead of tunnel boring Machines
Ayawah, Prosper E.A., Sebbeh-Newton, Sylvanus, Azure, Jessica W.A., Kaba, Azupuri G.A., Anani, Angelina, Bansah, Samuel, Zabidi, Hareyani
Published in Tunnelling and underground space technology (01.07.2022)
Published in Tunnelling and underground space technology (01.07.2022)
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Journal Article
Real-time classification of ground conditions ahead of a TBM using supervised machine learning algorithms
Sebbeh-Newton, Sylvanus, Seidu, Jamel, Ankah, Mawuko Luke Yaw, Ewusi-Wilson, Rodney, Zabidi, Hareyani, Amakye, Louis
Published in Modeling earth systems and environment (01.10.2024)
Published in Modeling earth systems and environment (01.10.2024)
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Journal Article
The Use of Interpretable Artificial Intelligence Inferences in the Estimation of Optimal Moisture Content Utilizing Basic Soil Parameters
Ewusi-Wilson, Rodney, Yendaw, Jerome Anabannye, Sebbeh-Newton, Sylvanus, Ike, Emmanuel, Ayeh, Felix Jojo Fianko
Published in Indian Geotechnical Journal (20.04.2024)
Published in Indian Geotechnical Journal (20.04.2024)
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Journal Article