Waste Prediction Approach Using Hybrid Long Short-Term Memory with Support Vector Machine

• Main Authors: Fatovatikhah, Farnaz, Ahmedy, Ismail, Noor, Rafidah Md
• Format: Article
• Published: Springer Nature 2024
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.um.edu.my/45290/; https://doi.org/10.1007/s44196-024-00485-w
• Institution: Universiti Malaya

As climate change increases the risk of extreme rainfall events, concerns over flood management have also increased. To recover quickly from flood damage and prevent further consequential damage, flood waste prediction is of utmost importance. Therefore, developing a rapid and accurate prediction of...