Charla “Deep learning and prediction”
Title: “Deep learning and prediction”
Speakers: Joao Mendes y Ines Sena. Center for Research in Digitization and Intelligent Robotics (CeDRI) in Bragança, Portugal.
Date and time: Jueves 25 de abril, 12.00 h,
Lugar: lab 2.008 I, EII
Summary:
Inês Sena is a PhD student in Industrial and Systems Engineering at the University of Minho, Portugal. As a member of the research team at the Center for Research in Digitization and Intelligent Robotics (CeDRI) in Bragança, Portugal, her focus involves developing an algorithm to predict the risk of workplace accidents occurring in a retail company. Her main research activities are related to data analysis, discovering meaningful insights from complex data sets, and predictive analytics where she applies state-of-the-art machine learning algorithms to discover patterns and trends.
Joao Mendes is a PhD student in Engineering and Systems at the University of Minho. As a member of the research team at the Center for Research in Digitization and Intelligent Robotics (CeDRI) in Bragança, Portugal, his focus is on the application and optimization of artificial intelligence algorithms within local agricultural contexts. Specifically, his research explores machine learning and deep learning methodologies, data analysis, processing techniques, and their integration within the frameworks of Agriculture 4.0. The aim is to optimize agricultural processes, enhancing efficiency and sustainability.
Title: “Deep learning and prediction”
Speakers: Joao Mendes y Ines Sena. Center for Research in Digitization and Intelligent Robotics (CeDRI) in Bragança, Portugal.
Date and time: Jueves 25 de abril, 12.00 h,
Lugar: lab 2.008 I, EII
Summary:
Inês Sena is a PhD student in Industrial and Systems Engineering at the University of Minho, Portugal. As a member of the research team at the Center for Research in Digitization and Intelligent Robotics (CeDRI) in Bragança, Portugal, her focus involves developing an algorithm to predict the risk of workplace accidents occurring in a retail company. Her main research activities are related to data analysis, discovering meaningful insights from complex data sets, and predictive analytics where she applies state-of-the-art machine learning algorithms to discover patterns and trends.
Joao Mendes is a PhD student in Engineering and Systems at the University of Minho. As a member of the research team at the Center for Research in Digitization and Intelligent Robotics (CeDRI) in Bragança, Portugal, his focus is on the application and optimization of artificial intelligence algorithms within local agricultural contexts. Specifically, his research explores machine learning and deep learning methodologies, data analysis, processing techniques, and their integration within the frameworks of Agriculture 4.0. The aim is to optimize agricultural processes, enhancing efficiency and sustainability.
