Advances in Machine Learning and AI Applications for Coastal and Offshore Environments

Machine Learning (ML) and Large Language Models (LLM) in Artificial Intelligence (AI) Applications in Coastal and Offshore Environments: Frameworks, Applications, and Case Studies, Current Trends, and Future Directions.This Research Topic explores the latest advances in the application of ML and LLM AI techniques in furthering our understanding of science and engineering applications in coastal and offshore environments. Active areas of research include data analytics and training algorithms applicable to coastal and offshore processes, design, construction, and operation of infrastructure, risk management, adaptation, and resilience. Multi-disciplinary applications focusing on metocean data collection, compilation, and adaptation for ML/LLM training to optimize operations, dynamic and integrated multi-process models applied to the forecasting, maintenance, and resiliency of infrastructure are welcome.Topics of interest include, but are not limited to, applications of ML and LLM AI in:• Coastal and Offshore Processes• Design, Operation, and Maintenance of Coastal and Offshore Infrastructure• Metocean Processes• Digital Twins• Hardware and Software• Frameworks and Training Algorithms• Data Collection, Analytics, and Assimilation• Hydrodynamics, Sediment Transport, and Morphodynamics• Bathymetry and Topography Mapping• Fluid–Structure Interactions• Environmental Monitoring and Forecasting• Adaptation and Resiliency• Risk Assessment and Management Topic editors: Yovanni Catano, Navid Tahvildari, SHUBHRA MISRA Source: https://www.frontiersin.org/research-topics/75197/advances-in-machine-learning-and-ai-applications-for-coastal-and-offshore-environments