Handling missing data in near real-time environmental monitoring: A system and a review of selected methods

A dual-head attention model for time series data imputation

(2021) Yifan Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A transfer Learning-Based LSTM strategy for imputing Large-Scale consecutive missing data and its application in a water quality prediction system

(2021) Zeng Chen et al.   JOURNAL OF HYDROLOGY

Predicting the Trend of Dissolved Oxygen Based on the kPCA-RNN Model

(2020) Yi-Fan Zhang et al.   Water

Missing data and bias in physics education research: A case for using multiple imputation

(2019) Jayson Nissen et al.   Physical Review Physics Education Research

SSIM—A Deep Learning Approach for Recovering Missing Time Series Sensor Data

(2019) Yi-Fan Zhang et al.   IEEE Internet of Things Journal

Data-driven missing data imputation in cluster monitoring system based on deep neural network

(2019) Jie Lin et al.   APPLIED INTELLIGENCE

Model selection to improve multiple imputation for handling high rate missingness in a water quality dataset

(2019) Romy Ratolojanahary et al.   EXPERT SYSTEMS WITH APPLICATIONS

Recurrent Neural Networks for Multivariate Time Series with Missing Values

(2018) Zhengping Che et al.   Scientific Reports

A New Approach of Outlier-robust Missing Value Imputation for Metabolomics Data Analysis

(2017) Nishith Kumar et al.   Current Bioinformatics

Reconstruction of river water quality missing data using artificial neural networks

(2015) Hossein Tabari et al.   WATER QUALITY RESEARCH JOURNAL OF CANADA

Comparative Studies of Different Imputation Methods for Recovering Streamflow Observation

(2015) Minjeong Kim et al.   Water

Optimizing regression models for data streams with missing values

(2014) Indrė Žliobaitė et al.   MACHINE LEARNING

Comparison of Results from Different Imputation Techniques for Missing Data from an Anti-Obesity Drug Trial

(2014) Anders W. Jørgensen et al.   PLoS One

On the Issue of Incomplete and Missing Water-Quality Data in Mine Site Databases: Comparing Three Imputation Methods

(2014) Getnet D. Betrie et al.   Mine Water and the Environment

Evaluation of imputation methods for microbial surface water quality studies

(2014) Chiping Nieh et al.   Environmental Science-Processes & Impacts

A process for trip purpose imputation from Global Positioning System data

(2013) Li Shen et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Principled missing data methods for researchers

(2013) Yiran Dong et al.   SpringerPlus

A global Water Quality Index and hot-deck imputation of missing data

(2011) Tanja Srebotnjak et al.   ECOLOGICAL INDICATORS

Data validation and missing data reconstruction using self-organizing map for water treatment

(2011) B. Lamrini et al.   NEURAL COMPUTING & APPLICATIONS

Data-driven modelling: some past experiences and new approaches

(2007) Dimitri P. Solomatine et al.   JOURNAL OF HYDROINFORMATICS