Combining physical-based model and machine learning to forecast chlorophyll-a concentration in freshwater lakes

Libsvm : A library for support vector machines

Vittorio Ferrari · Medical Entomology and Zoology · 2008 · 10.1K citations

Computing, Computer Science, Data Mining +11

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

A. Sherstinsky · Physica D Nonlinear Phenomena · 2020 · 5.4K citations · Full text

Computing, Computer Science, Machine Learning +9

Using Bayesian Model Averaging to Calibrate Forecast Ensembles

Adrian E. Raftery, Tilmann Gneiting, Fadoua Balabdaoui et al. · Monthly Weather Review · 2005 · 2K citations · Full text

Natural Sciences, Earth Sciences, Meteorology +17

Machine Learning: New Ideas and Tools in Environmental Science and Engineering

Shifa Zhong, Kai Zhang, Majid Bagheri et al. · Environmental Science & Technology · 2021 · 922 citations · Full text

Natural Sciences, Environmental Engineering, Environmental Sciences +9

Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas

Jianfeng Zhang, Yan Zhu, Xiaoping Zhang et al. · Journal of Hydrology · 2018 · 808 citations

Natural Resources, Hydrology, Water Resources Management +13