Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia

Estimation of solar radiation using neighboring stations through hybrid support vector regression boosted by Krill Herd algorithm

(2020) Babak Mohammadi et al.   Arabian Journal of Geosciences

Developing Novel Robust Models to Improve the Accuracy of Daily Streamflow Modeling

(2020) Babak Mohammadi et al.   WATER RESOURCES MANAGEMENT

Data-driven rainfall/runoff modelling based on a neuro-fuzzy inference system

(2018) N. Bartoletti et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Fully automated segmentation of the left ventricle in cine cardiac MRI using neural network regression

(2018) Li Kuo Tan et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Rainfall-runoff modelling using a self-reliant fuzzy inference network with flexible structure

(2018) Tak Kwin Chang et al.   JOURNAL OF HYDROLOGY

Choice of rainfall inputs for event-based rainfall-runoff modeling in a catchment with multiple rainfall stations using data-driven techniques

(2017) Tak Kwin Chang et al.   JOURNAL OF HYDROLOGY

Comparison of random forests and support vector machine for real-time radar-derived rainfall forecasting

(2017) Pao-Shan Yu et al.   JOURNAL OF HYDROLOGY

A rainfall forecasting method using machine learning models and its application to the Fukuoka city case

(2013) S. Monira Sumi et al.   International Journal of Applied Mathematics and Computer Science

Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS)

(2013) Afiq Hipni et al.   WATER RESOURCES MANAGEMENT

Missing inaction: the dangers of ignoring missing data

(2008) Shinichi Nakagawa et al.   TRENDS IN ECOLOGY & EVOLUTION