April 20, 2022 article A review and case study of Artificial intelligence and Machine learning methods used for ground condition prediction ahead of tunnel boring Machines Tunnelling and Underground Space Technology DOI: 10.1016/j.tust.2022.104497 OpenAlex Authors 0 Author list not loaded yet. Cited by 1 stored of 92 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Explanations of Performance Differences in Segment Lining for Tunnel Boring Machines 2022 Lecture notes in computer science conference-paper Computer Science Explainable Artificial Intelligence (XAI) 2 citations 1 result References 0