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Title: Spatial-temporal analysis of groundwater well features from neural network prediction of hexavalent chromium concentration

Journal Article · · Scientific Reports
; ; ; ;

Not Available

Sponsoring Organization:
USDOE
Grant/Contract Number:
EM0005213
OSTI ID:
2484063
Journal Information:
Scientific Reports, Journal Name: Scientific Reports Journal Issue: 1 Vol. 14; ISSN 2045-2322
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United Kingdom
Language:
English

References (13)

An ANN-based model for spatiotemporal groundwater level forecasting journal December 2008
Advancing “Autonomous” sensing and prediction of the subsurface environment: a review and exploration of the challenges for soil and groundwater contamination journal January 2023
Prediction of effluent quality parameters of a wastewater treatment plant using a supervised committee fuzzy logic model journal April 2018
Prediction and structural uncertainty analyses of artificial neural networks using hierarchical Bayesian model averaging journal September 2015
A data imputation method for multivariate time series based on generative adversarial network journal September 2019
Framewise phoneme classification with bidirectional LSTM and other neural network architectures journal July 2005
Machine learning integrated high quantum yield blue light carbon dots for real-time and on-site detection of Cr(VI) in groundwater and drinking water journal December 2023
PyLEnM: A Machine Learning Framework for Long-Term Groundwater Contamination Monitoring Strategies journal April 2022
Attention-Based Multi-Input Multi-Output Neural Network for Plant Disease Prediction Using Multisensor System journal December 2022
Vadose Zone Soil Flushing for Chromium Remediation: A Laboratory Investigation to Support Field‐scale Application journal March 2023
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
  • Ribeiro, Marco Tulio; Singh, Sameer; Guestrin, Carlos
  • Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16 https://doi.org/10.1145/2939672.2939778
conference January 2016
Supervised committee machine with artificial intelligence for prediction of fluoride concentration journal May 2013
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction conference August 2017

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