July 27, 2026 article Integration of Deep Learning with the Discrete Element Method for Porosity Prediction in Gravel-Bed Rivers Pure and Applied Geophysics DOI: 10.1007/s00024-026-04069-x OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 3 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 Spatial variability in river bed porosity determined by nuclear density gauging: A case study from a French gravel‐bed river 2021 Sedimentology article Environmental Science Hydrology and Sediment Transport Processes Open access 15 citations The effect of imbrication on the porosity value of non-uniform gravel bed: a case study from the Buëch River, France 2025 Granular Matter article Earth and Planetary Sciences Geological formations and processes Open access 3 citations The effect of imbrication on the porosity value of uniform gravel bed 2024 Granular Matter article Earth and Planetary Sciences Geological formations and processes Open access 3 citations 3 results