A5045406142- Hydrological Forecasting Using AI
- Water Quality Monitoring Technologies
- Water Quality and Pollution Assessment
- Hydrology and Watershed Management Studies
- Human Motion and Animation
- Remote Sensing in Agriculture
- Control and Dynamics of Mobile Robots
- Environmental and Cultural Studies in Latin America and Beyond
- Reinforcement Learning in Robotics
- Remote Sensing and Land Use
- Marine and fisheries research
- Racial and Ethnic Identity Research
- Computer Graphics and Visualization Techniques
- Migration, Health and Trauma
- Robotic Path Planning Algorithms
- Coral and Marine Ecosystems Studies
- Advanced Image and Video Retrieval Techniques
- Child and Adolescent Psychosocial and Emotional Development
- Groundwater flow and contamination studies
- Plant and soil sciences
- Marine and coastal plant biology
- Avian ecology and behavior
- Marine animal studies overview
- Soil and Land Suitability Analysis
- Algorithms and Data Compression
Universidad de la República de Uruguay
2021-2024
Universidad de Montevideo
2021
Instituto de Investigacao das Pescas e do Mar
2012
Brainstorm (Spain)
2007-2010
The monitoring of surface-water quality followed by water-quality modeling and analysis are essential for generating effective strategies in surface-water-resource management. However, worldwide, particularly developing countries, studies limited due to the lack a complete reliable dataset surface-water-quality variables. In this context, several statistical machine-learning models were assessed imputing data at six stations located Santa Lucía Chico river (Uruguay), mixed lotic lentic...
MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsTheme Sections 477:15-28 (2013) - DOI: https://doi.org/10.3354/meps10180 Effects of environmental variability on different trophic levels North Atlantic food web Vitor H. Paiva1,2,*, Pedro Geraldes3, Marques4, Rula Rodríguez4, Stefan Garthe2, Jaime A. Ramos1 1IMAR/CMA and Environmental Research Centre, Department Life...
The monitoring of surface-water quality followed by water-quality modeling and analysis is essential for generating effective strategies in water-resource management. However, worldwide, particularly developing countries, studies are limited due to the lack a complete reliable dataset surface-water-quality variables. In this context, several statistical machine-learning models were assessed imputing data at six stations located Santa Lucía Chico river (Uruguay), mixed lotic lentic...
In this paper we propose a generic approach for navigation of nonholonomic vehicles in unknown environments. The vehicle model is also unknown, so the path planner uses reinforcement learning to acquire optimal behaviour together with model, which estimated by reduced set transitions. After training phase, able explore environment through wall-following behaviour. order guide and build map employs virtual walls. time good approximation was only few minutes. Both simulation experimental...
Over the past few decades, growing population in developing countries has significantly impacted land use and cover (LULC), resulting a threat to natural resources. Therefore, monitoring LULC changes critical areas for effective land-use planning policy-making is crucial. Google Earth Engine (GEE) cloud computing new platform that processes geospatial data classifies over vast utilizing machine-learning classification algorithms. In this study, we tested several models using Python GEE...
Introduction Due to the global humanitarian crisis, there has been a significant increase in immigration.(1) The migration process typically involves multiple trauma exposures that are sustained over time(2), which may result an impact on mental health of these individuals(3), such as posttraumatic stress disorder(3). A recent meta-analysis estimated 25% migrants had PTSD(15), is significantly higher than 0.2% 3.8 percent prevalence data found for general population(4). In addition, number...