| Deep Learning Approach for the Prediction of the Concentration of Chlorophyll ɑ in Seawater. A Case Study in El Mar Menor (Spain) J González-Enrique, JJ Ruiz-Aguilar, E Madrid Navarro, ... International Workshop on Soft Computing Models in Industrial and …, 2022 | 5 | 2022 |
| Compression techniques of underwater acoustic signals for real-time underwater noise monitoring I Felis, R Martínez, P Ruiz, H Er-rachdi Proceedings 42 (1), 80, 2019 | 3 | 2019 |
| Sensing Offshore Aquaculture Infrastructures for Data-Driven Dynamic Stress Analysis JC Sanz-González, A Jurado-Mc Allister, M Navarro-Martínez, ... Fishes 9 (2), 61, 2024 | | 2024 |
| Bridging the Gap: Challenges and Opportunities of IoT and Wireless Sensor Networks in Marine Environmental Monitoring H Errachdi, I Felis, E Madrid, R Martínez Engineering Proceedings 58 (1), 102, 2023 | | 2023 |
| AI-Driven Estimation of Vessel Sailing Times and Underwater Acoustic Pressure for Optimizing Maritime Logistics RM Álvarez-Castellanos, JAG Gambín, IF Enguix Eng. Proc 56, 2023 | | 2023 |
| Time Series Modelling and Predictive Analytics for Sustainable Environmental Management—A Case Study in El Mar Menor (Spain) R Martínez, I Felis, M Navarro, JC Sanz-González Engineering Proceedings 58 (1), 32, 2023 | | 2023 |
| Causality Inference for Mitigating Atmospheric Pollution in Green Ports: A Castellò Port Case Study R Martínez, JC Sanz-González, I Felis, E Madrid Engineering Proceedings 58 (1), 47, 2023 | | 2023 |
| Compression techniques of underwater acoustic signals for real-time underwater noise monitoring. IF Enguix, R Martínez, P Ruiz, H Er‐rachdi MDPI AG, 2019 | | 2019 |
| Análisis de las máquinas Sparse Autoencoders como extractores de características R Martínez Álvarez-Castellanos | | 2017 |
| NUEVAS TÉCNICAS DE CALIBRACIÓN DE HIDRÓFONOS EN BAJA FRECUENCIA CON RELACIÓN A LA MSFD I Felis, P Cervantes, P Ruiz, R Martínez, H Er-rachdi | | |
