Detecting the sources of chemicals in the Black Sea using non-target screening and deep learning convolutional neural networks-Reference-Cited by-同舟云学术

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Detecting the sources of chemicals in the Black Sea using non-target screening and deep learning convolutional neural networks

Published:2022-11 Issue: Volume:847 Page:157554
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Alygizakis Nikiforos,Giannakopoulos Theodoros,Τhomaidis Nikolaos S.,Slobodnik Jaroslav

Funder

National and Kapodistrian University of Athens

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference62 articles.

1. Development and application of liquid chromatographic retention time indices in HRMS-based suspect and nontarget screening;Aalizadeh;Anal. Chem.,2021

2. Large-scale Machine Learning on Heterogeneous Systems;Abadi,2015

3. Occurrence of pharmaceuticals and personal care products in effluent-dominated Saudi Arabian coastal waters of the Red Sea;Ali;Chemosphere,2017

4. Untargeted time-pattern analysis of LC-HRMS data to detect spills and compounds with high fluctuation in influent wastewater;Alygizakis;J. Hazard. Mater.,2019

5. Analysis of micropollutants in a marine outfall using network analysis and decision tree;Baek;Sci. Total Environ.,2022

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