Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources

no code implementations • 18 Aug 2023 • Jared D. Willard, Charuleka Varadharajan, Xiaowei Jia, Vipin Kumar

Prediction of dynamic environmental variables in unmonitored sites remains a long-standing challenge for water resources science.

Time Series Time Series Prediction +1

Long-Term Missing Value Imputation for Time Series Data Using Deep Neural Networks

no code implementations • 25 Feb 2022 • Jangho Park, Juliane Muller, Bhavna Arora, Boris Faybishenko, Gilberto Pastorello, Charuleka Varadharajan, Reetik Sahu, Deborah Agarwal

We present an approach that uses a deep learning model, in particular, a MultiLayer Perceptron (MLP), for estimating the missing values of a variable in multivariate time series data.

Imputation Time Series +1

Surrogate Optimization of Deep Neural Networks for Groundwater Predictions

no code implementations • 28 Aug 2019 • Juliane Mueller, Jangho Park, Reetik Sahu, Charuleka Varadharajan, Bhavna Arora, Boris Faybishenko, Deborah Agarwal

Sustainable management of groundwater resources under changing climatic conditions require an application of reliable and accurate predictions of groundwater levels.

Management