Litcius/Paper detail

A review and case study of Artificial intelligence and Machine learning methods used for ground condition prediction ahead of tunnel boring Machines

Prosper Ayawah, Sylvanus Sebbeh-Newton, Jessica W.A. Azure, Azupuri G. A. Kaba, Angelina Anani, Samuel Bansah, Hareyani Zabidi

2022Tunnelling and Underground Space Technology89 citationsDOI

Topics & Concepts

Rock mass classificationMachine learningRaw dataArtificial intelligencePredictive modellingVariable (mathematics)EngineeringComputer scienceData miningGeotechnical engineeringStatisticsMathematicsMathematical analysisTunneling and Rock MechanicsDrilling and Well EngineeringRock Mechanics and Modeling
A review and case study of Artificial intelligence and Machine learning methods used for ground condition prediction ahead of tunnel boring Machines | Litcius