Hyperparameters Optimization in XGBoost Model for Rainfall Estimation: A Case Study in Pontianak City
Estimating rainfall accurately is crucial for both the community and various institutions
involved in managing water resources and preventing disasters. The XGBoost model has …
involved in managing water resources and preventing disasters. The XGBoost model has …
Improving Accuracy of Daily Weather Forecast Model at Soekarno-Hatta Airport Using BILSTM with SMOTE and ADASYN
Bidirectional LSTM (BiLSTM) is an extension of LSTM which can improve model efficiency
and accuracy in classification scenarios based on time series data or longer time series data …
and accuracy in classification scenarios based on time series data or longer time series data …
Communication Satellite-Based Rainfall Estimation for Flood Mitigation in Papua
RY Mardyansyah, B Kurniawan… - Jurnal Penelitian …, 2024 - jppipa.unram.ac.id
Papua, an equatorial region in Indonesia, faces unique geographical and natural
challenges, including heavy annual rainfall. This heavy rainfall increases flooding risks and …
challenges, including heavy annual rainfall. This heavy rainfall increases flooding risks and …