Data Analytics for Environmental Science and Engineering Research

Optimized workflow for unknown screening using gas chromatography high‐resolution mass spectrometry expands identification of contaminants in silicone personal passive samplers

(2021) Steven C. Travis et al.   RAPID COMMUNICATIONS IN MASS SPECTROMETRY

Microbial and Viral Communities and Their Antibiotic Resistance Genes Throughout a Hospital Wastewater Treatment System

(2020) Morgan L. Petrovich et al.   Frontiers in Microbiology

The Fourth-Revolution in the Water Sector Encounters the Digital Revolution

(2020) Manel Garrido-Baserba et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Estimation of high frequency nutrient concentrations from water quality surrogates using machine learning methods

(2020) María Castrillo et al.   WATER RESEARCH

Target and suspect screening analysis reveals persistent emerging organic contaminants in soils and sediments

(2020) Aurea C. Chiaia-Hernández et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Rethinking wastewater risks and monitoring in light of the COVID-19 pandemic

(2020) Anne Bogler et al.   Nature Sustainability

A Proposed Quality Control Standard Mixture and Its Uses for Evaluating Nontargeted and Suspect Screening LC/HR-MS Method Performance

(2020) Ann M. Knolhoff et al.   ANALYTICAL CHEMISTRY

Active learning for anomaly detection in environmental data

(2020) Stefania Russo et al.   ENVIRONMENTAL MODELLING & SOFTWARE

A State-of-the-Art Survey on Deep Learning Theory and Architectures

(2019) Md Zahangir Alom et al.   Electronics

16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses

(2019) Stephen Woloszynek et al.   PLoS Computational Biology

Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage

(2019) Rene S. Hendriksen et al.   Nature Communications

Applications of metabolomics in assessing ecological effects of emerging contaminants and pollutants on plants

(2019) E.K. Matich et al.   JOURNAL OF HAZARDOUS MATERIALS

Meta-network: optimized species-species network analysis for microbial communities

(2019) Pengshuo Yang et al.   BMC GENOMICS

Deep learning for vibrational spectral analysis: Recent progress and a practical guide

(2019) Jie Yang et al.   ANALYTICA CHIMICA ACTA

Nontarget Screening Reveals Time Trends of Polar Micropollutants in a Riverbank Filtration System

(2019) Vittorio Albergamo et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

A survey of machine learning methods applied to anomaly detection on drinking-water quality data

(2019) Eustace M. Dogo et al.   Urban Water Journal

High resolution mass spectrometry-based non-target screening can support regulatory environmental monitoring and chemicals management

(2019) Juliane Hollender et al.   Environmental Sciences Europe

Identification of discriminatory antibiotic resistance genes among environmental resistomes using extremely randomized tree algorithm

(2019) Suraj Gupta et al.   Microbiome

A survey on semi-supervised learning

(2019) Jesper E. van Engelen et al.   MACHINE LEARNING

Integration of target analyses, non-target screening and effect-based monitoring to assess OMP related water quality changes in drinking water treatment

(2019) Andrea M. Brunner et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Dissecting microbial community structure in sewage treatment plant for pathogens’ detection using metagenomic sequencing technology

(2019) Abdulmoseen Segun Giwa et al.   ARCHIVES OF MICROBIOLOGY

Retrospective suspect screening reveals previously ignored antibiotics, antifungal compounds, and metabolites in Bangladesh surface waters

(2019) Luisa F. Angeles et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Time-series lipidomic analysis of the oleaginous green microalga species Ettlia oleoabundans under nutrient stress

(2018) E. K. Matich et al.   Biotechnology for Biofuels

Deep learning models for bacteria taxonomic classification of metagenomic data

(2018) Antonino Fiannaca et al.   BMC BIOINFORMATICS

Predicting fishiness off-flavour and identifying compounds of lipid oxidation in dairy powders by SPME-GC/MS and machine learning

(2018) Cheng Chen et al.   INTERNATIONAL DAIRY JOURNAL

PlasFlow: predicting plasmid sequences in metagenomic data using genome signatures

(2018) Pawel S Krawczyk et al.   NUCLEIC ACIDS RESEARCH

Classification of Bitter Orange Essential Oils According to Fruit Ripening Stage by Untargeted Chemical Profiling and Machine Learning

(2018) Saeedeh Taghadomi-Saberi et al.   SENSORS

Simultaneous detection of multiple inherited metabolic diseases using GC-MS urinary metabolomics by chemometrics multi-class classification strategies

(2018) Qin Yang et al.   TALANTA

Understanding and Designing the Strategies for the Microbe-Mediated Remediation of Environmental Contaminants Using Omics Approaches

(2018) Muneer A. Malla et al.   Frontiers in Microbiology

DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data

(2018) Gustavo Arango-Argoty et al.   Microbiome

The Pfam protein families database in 2019

(2018) Sara El-Gebali et al.   NUCLEIC ACIDS RESEARCH

Shotgun Metagenomics Reveals Taxonomic and Functional Shifts in Hot Water Microbiome Due to Temperature Setting and Stagnation

(2018) Dongjuan Dai et al.   Frontiers in Microbiology

Machine learning combined with non-targeted LC-HRMS analysis for a risk warning system of chemical hazards in drinking water: A proof of concept

(2018) Saer Samanipour et al.   TALANTA

Water quality assessment with hierarchical cluster analysis based on Mahalanobis distance

(2017) Xiangjun Du et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Nontarget Screening with High Resolution Mass Spectrometry in the Environment: Ready to Go?

(2017) Juliane Hollender et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Integrating tools for non-targeted analysis research and chemical safety evaluations at the US EPA

(2017) Jon R. Sobus et al.   Journal of Exposure Science and Environmental Epidemiology

Classification of aquifer vulnerability using K-means cluster analysis

(2017) S. Javadi et al.   JOURNAL OF HYDROLOGY

ADAP-GC 3.2: Graphical Software Tool for Efficient Spectral Deconvolution of Gas Chromatography–High-Resolution Mass Spectrometry Metabolomics Data

(2017) Aleksandr Smirnov et al.   JOURNAL OF PROTEOME RESEARCH

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Unsupervised real-time anomaly detection for streaming data

(2017) Subutai Ahmad et al.   NEUROCOMPUTING

Mass spectrometry-based metabolomics to assess uptake of silver nanoparticles by Arabidopsis thaliana

(2017) Nita G. Chavez Soria et al.   Environmental Science-Nano

Identification of 76 novel B1 metallo-β-lactamases through large-scale screening of genomic and metagenomic data

(2017) Fanny Berglund et al.   Microbiome

A survey on pre-processing techniques: Relevant issues in the context of environmental data mining

(2016) Karina Gibert et al.   AI COMMUNICATIONS

A survey of network anomaly detection techniques

(2016) Mohiuddin Ahmed et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Principal component analysis: a review and recent developments

(2016) Ian T. Jolliffe et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Risk assessment of water pollution sources based on an integrated k -means clustering and set pair analysis method in the region of Shiyan, China

(2016) Chunhui Li et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A survey of machine learning for big data processing

(2016) Junfei Qiu et al.   EURASIP Journal on Advances in Signal Processing

A tutorial review: Metabolomics and partial least squares-discriminant analysis – a marriage of convenience or a shotgun wedding

(2015) Piotr S. Gromski et al.   ANALYTICA CHIMICA ACTA

Prioritizing Unknown Transformation Products from Biologically-Treated Wastewater Using High-Resolution Mass Spectrometry, Multivariate Statistics, and Metabolic Logic

(2015) Jennifer E. Schollée et al.   ANALYTICAL CHEMISTRY

Prediction of effluent concentration in a wastewater treatment plant using machine learning models

(2015) Hong Guo et al.   JOURNAL OF ENVIRONMENTAL SCIENCES

An Enhanced K-Means Algorithm for Water Quality Analysis of The Haihe River in China

(2015) Hui Zou et al.   International Journal of Environmental Research and Public Health

Ultra-high performance liquid chromatography–quadrupole time-of-flight mass spectrometry to identify contaminants in water: An insight on environmental forensics

(2014) Ana Masiá et al.   JOURNAL OF CHROMATOGRAPHY A

Water Quality Event Detection in Drinking Water Network

(2014) Haifeng Zhao et al.   WATER AIR AND SOIL POLLUTION

Predicting water quality at Santa Monica Beach: Evaluation of five different models for public notification of unsafe swimming conditions

(2014) W. Thoe et al.   WATER RESEARCH

Current breathomics—a review on data pre-processing techniques and machine learning in metabolomics breath analysis

(2014) A Smolinska et al.   Journal of Breath Research

Automated resolution of overlapping peaks in chromatographic data

(2013) Lea G. Johnsen et al.   JOURNAL OF CHEMOMETRICS

Big data challenge: a data management perspective

(2013) Jinchuan Chen et al.   Frontiers of Computer Science

ICA and me – A subjective review

(2012) Gustaf Olsson   WATER RESEARCH

A new approach to data evaluation in the non-target screening of organic trace substances in water analysis

(2011) Alexander Müller et al.   CHEMOSPHERE

Logistic regression analysis to estimate contaminant sources in water distribution systems

(2011) Li Liu et al.   JOURNAL OF HYDROINFORMATICS

Real-Time Water Quality Monitoring: Assessment of Multisensor Data Using Bayesian Belief Networks

(2011) Steven Murray et al.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT

Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2.5 concentrations using artificial neural networks, in Thessaloniki and Helsinki

(2011) Dimitris Voukantsis et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Cluster resolution: A metric for automated, objective and optimized feature selection in chemometric modeling

(2010) Nikolai A. Sinkov et al.   TALANTA

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS

Evaluation of significant sources influencing the variation of water quality of Kandla creek, Gulf of Katchchh, using PCA

(2009) S. G. Dalal et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Identifying fouling events in a membrane-based drinking water treatment process using principal component analysis of fluorescence excitation-emission matrices

(2009) Ramila H. Peiris et al.   WATER RESEARCH

Online Learning with Hidden Markov Models

(2008) Gianluigi Mongillo et al.   NEURAL COMPUTATION