May 01, 2017 conference-paper How to get pavement distress detection ready for deep learning? A systematic approach DOI: 10.1109/ijcnn.2017.7966101 OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 395 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 Lightweight deep learning for real-time road distress detection on mobile devices 2025 Nature Communications article Engineering Infrastructure Maintenance and Monitoring Open access 47 citations Holistic image‐based analysis of damage on concrete surfaces—A multifaceted approach based on supervised machine learning 2024 Structural Concrete article Engineering Infrastructure Maintenance and Monitoring Open access cited by 2 patents 4 citations 2 results References 0