Improving sea level prediction in coastal areas using machine learning techniques

• Main Authors: Latif S.D., Almubaidin M.A., Shen C.G., Sapitang M., Birima A.H., Ahmed A.N., Sherif M., El-Shafie A.
• Other Authors: 57216081524
• Format: Article
• Published: Ain Shams University 2025
• Subjects: Coastal zones; Learning systems; Motion compensation; Nearest neighbor search; Radial basis function networks; Sea level; Coastal area; Flood modeling; K-near neighbor; K-nearest neighbour models; Machine learning techniques; Machine-learning; Support vector machine; Support vectors machine; Testing process; Training process; Support vector machines

The objective of the current study is to investigate the effectiveness of specifically the Support Vector Machine (SVM) and the k-Nearest Neighbors (kNN) models for sea level prediction. The SVM and kNN models are compared using the predicted data determined by the machine learning model's perf...