Invited perspectives : how machine learning will change flood risk and impact assessment

• Main Authors: Wagenaar, Dennis, Curran, Alex, Balbi, Mariano, Bhardwaj, Alok, Soden, Robert, Hartato, Emir, Mestav Sarica, Gizem, Ruangpan, Laddaporn, Molinario, Giuseppe, Lallemant, David
• Other Authors: Institute of Catastrophe Risk Management
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Environmental engineering; Machine Learning; Flood
• Online Access: https://hdl.handle.net/10356/143901
• Institution: Nanyang Technological University

Increasing amounts of data, together with more computing power and better machine learning algorithms to analyse the data, are causing changes in almost every aspect of our lives. This trend is expected to continue as more data keep becoming available, computing power keeps improving and machine lea...