| A Deep Neural Network to Predict the Residual Hull Girder Strength A La Ferlita, E Di Nardo, M Macera, T Lindemann, A Ciaramella, ... SNAME Maritime Convention, D031S019R004, 2022 | 9 | 2022 |
| An Advanced Salvage Method for Damaged Ship Structures A La Ferlita, H Rathje, T Lindemann, P Kaeding, R Bronsart SNAME Maritime Convention, D021S007R002, 2021 | 9 | 2021 |
| A comparative study to estimate fuel consumption: a simplified physical approach against a data-driven model A La Ferlita, Y Qi, E Di Nardo, O el Moctar, TE Schellin, A Ciaramella Journal of Marine Science and Engineering 11 (4), 850, 2023 | 8 | 2023 |
| A framework of a data-driven model for ship performance A La Ferlita, Y Qi, E Di Nardo, O El Moctar, TE Schellin, A Ciaramella Ocean Engineering 309, 118486, 2024 | 6 | 2024 |
| Power Prediction of a 15,000 TEU Containership: Deep-Learning Algorithm Compared to a Physical Model A La Ferlita, Y Qi, E Di Nardo, K Moenster, TE Schellin, O EL Moctar, ... Journal of Marine Science and Engineering 11 (10), 1854, 2023 | 6 | 2023 |
| Deep Neural Network (DNN) Method to predict the displacement behavior of neutral axis for ships in vertical bending A La Ferlita, E Di Nardo, M Macera, T Lindemann, A Ciaramella, ... Technology and Science for the Ships of the Future, 95-103, 2022 | 6 | 2022 |
| Investigations on Ultimate Strength for a Container Vessel under Combined Loads T Lindemann, P Kaeding, A Willsch, A La Ferlita, D Boote Progress in Marine Science and Technology 6, 684-691, 2022 | 3 | 2022 |
| Numerical Investigations on Ultimate Strength of a Double Hull VLCC Under Combined Loads and Initial Imperfections T Lindemann, BE Okpeke, A La Ferlita, M Mühmer, P Kaeding International Conference on Offshore Mechanics and Arctic Engineering 85864 …, 2022 | 3 | 2022 |
| Application of Different Methods to Determine the Ultimate Strength of Ships in Bending T Lindemann, A La Ferlita, E Di Nardo, P Kaeding International Conference on Offshore Mechanics and Arctic Engineering 86847 …, 2023 | 2 | 2023 |
| Data-driven model assessment: A comparative study for ship response determination A La Ferlita, J Ley, Y Qi, TE Schellin, E Di Nardo, O El Moctar, ... Ocean Engineering 314, 119711, 2024 | 1 | 2024 |
| A Data-Driven Model for Rapid CII Prediction M Mühmer, A La Ferlita, E Geber, S Ehlers, E Di Nardo, O El Moctar, ... Journal of Marine Science and Engineering 12 (11), 2048, 2024 | | 2024 |
| Application of Idealized Structural Unit Method to Determine the Ultimate Strength of Ship Model in Bending T Lindemann, A La Ferlita, P Kaeding International Conference on Offshore Mechanics and Arctic Engineering 87790 …, 2024 | | 2024 |
| Prediction of Wave Energy Spectrum Based on Ship Motions Using a Data-Driven Approach. A La Ferlita, Y Qi, E Di Nardo, S Mewes, O El Moctar, A Ciaramella itaDATA, 2023 | | 2023 |
Emanuel Di NardoUniversity of Naples, Parthenope在 uniparthenope.it 的电子邮件经过验证
