Prueba 2 BCAM research line(s) involved: 003 ML Machine Learning Type: National Project Status: Closed Objective: prueba prueba prueba prueba Related Projects MATH4SPORTS MATH4SPORTS - Modelización matemática para la industria deportiva: salud y rendimiento Research area: Data Science & Artificial Intelligence (DS) Research line: Applied Statistics (AS) Type: Regional Project Status: Ongoing Project MATH4SPORTS seeks to transfer applied mathematics as a driving technology to the field of the sports industry, with a high potential for technology transfer to start-ups, professional clubs, researchers and other agents in the innovative environment of Bizkaia. BCAM principal investigator: Dae-Jin Lee M-KONTAK M-KONTAK - Investigación de los Fenómenos Asociados al Contacto Metal-Metal en Tecnologías de H2 a Alta Presión Research area: Mathematical Modelling with Multidisciplinary Applications (M3A) Research line: Modelling and Simulation in Life and Materials Sciences (MSLMS) Type: Regional Project Status: Ongoing Project The main objective of the M-KONTAK project is to gain an in-depth understanding of the failure modes and their effect on metallic materials and the surfaces of threaded joints in candidate technologies for high-pressure H2 effect on the metallic materials and surfaces that make up the threaded jo BCAM principal investigator: Elena Akhmatskaya KAIROS KAIROS - Digitalización predictiva del comportamiento a largo plazo de materiales poliméricos composites. Empleo de IA, modelización basada en la física y metodologías de aceleración de ensayos Research area: Computational Mathematics (CM) Research line: CFD Modelling and Simulation (CFDMS) Type: Regional Project Status: Ongoing Project KAIROS was created with the main objective of researching and obtaining a solution that allows multi-scale digitisation combined with ML and accelerated testing methodologies, for the study of the long-term behaviour (creep, fatigue, ageing) of polymeric materials applicable, for example, to the BCAM principal investigator: Marco Ellero CHARGER+ CHARGER+ - Nueva Generación de Puntos de Recarga de Vehículo Eléctrico con Funcionalidades Autónomas y Colaborativas e Impacto Cero Research area: Data Science & Artificial Intelligence (DS) Research line: Machine Learning (ML) Type: Regional Project Status: Ongoing Project The general objective of the CHARGER+ project is to generate the necessary knowledge to define a new generation of electric vehicle (EV) charging points, so that the related Basque companies (electricity companies, charging post installation companies and charger manufacturers) will be in an adva BCAM principal investigator: Santiago Mazuelas
