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Showing 652-672 of 6,321 articles

Efficient reduction of Cr(VI) by guava (Psidium guajava) leaf extract and its mitigation effect on Cr toxicity in rice seedlings.

Hexavalent chromium (Cr(VI)) is a toxic element that has negative impacts on crop growth and yield. ...

Jul 2023 PMID: 38408812

Machine Learning in Environmental Research: Common Pitfalls and Best Practices.

Machine learning (ML) is increasingly used in environmental research to process large data sets and ...

Jun 2023 PMID: 37384597

Long-lead streamflow forecasting using computational intelligence methods while considering uncertainty issue.

While some robust artificial intelligence (AI) techniques such as Gene-Expression Programming (GEP),...

Jun 2023 PMID: 37369900

A stacking ensemble classifier-based machine learning model for classifying pollution sources on photovoltaic panels.

Solar energy is a very efficient alternative for generating clean electric energy. However, pollutio...

Jun 2023 PMID: 37355761

Unsupervised Learning-Based WSN Clustering for Efficient Environmental Pollution Monitoring.

Wireless Sensor Networks (WSNs) have been adopted in various environmental pollution monitoring appl...

Jun 2023 PMID: 37420898

On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG.

OBJECTIVE: Over the past few years, deep learning (DL) has been used extensively in research for 12-...

Jun 2023 PMID: 37022038

Machine Learning-Based Hazard-Driven Prioritization of Features in Nontarget Screening of Environmental High-Resolution Mass Spectrometry Data.

Nontarget high-resolution mass spectrometry screening (NTS HRMS/MS) can detect thousands of organic ...

Jun 2023 PMID: 37279189

Genetic Susceptibility to Atrial Fibrillation Identified via Deep Learning of 12-Lead Electrocardiograms.

BACKGROUND: Artificial intelligence (AI) models applied to 12-lead ECG waveforms can predict atrial ...

Jun 2023 PMID: 37278238

Machine and deep learning for modelling heat-health relationships.

Extreme heat events pose a significant threat to population health that is amplified by climate chan...

Jun 2023 PMID: 37285991

Deep learning model for automatic image quality assessment in PET.

BACKGROUND: A variety of external factors might seriously degrade PET image quality and lead to inco...

Jun 2023 PMID: 37277706

Prediction of heavy metals adsorption by hydrochars and identification of critical factors using machine learning algorithms.

Hydrochar has become a popular product for immobilizing heavy metals in water bodies. However, the r...

May 2023 PMID: 37244307

Deep Learning-Based Quantitative Assessment of Melamine and Cyanuric Acid in Pet Food Using Fourier Transform Infrared Spectroscopy.

Melamine and its derivative, cyanuric acid, are occasionally added to pet meals because of their nit...

May 2023 PMID: 37299748

Structural insights, biocatalytic characteristics, and application prospects of lignin-modifying enzymes for sustainable biotechnology.

Lignin modifying enzymes (LMEs) have gained widespread recognition in depolymerization of lignin pol...

May 2023 PMID: 37217044

Prediction and sensitivity analysis of chlorophyll a based on a support vector machine regression algorithm.

Outbreaks of planktonic algae seriously affect the water quality of rivers and are difficult to cont...

May 2023 PMID: 37209292

Integrating low-cost sensor monitoring, satellite mapping, and geospatial artificial intelligence for intra-urban air pollution predictions.

There is a growing need to apply geospatial artificial intelligence analysis to disparate environmen...

May 2023 PMID: 37209897

Supervised deep learning with vision transformer predicts delirium using limited lead EEG.

As many as 80% of critically ill patients develop delirium increasing the need for institutionalizat...

May 2023 PMID: 37193736

Automated large volume sample preparation for vEM.

New developments in electron microscopy technology, improved efficiency of detectors, and artificial...

May 2023 PMID: 37451763

Eliminating the need for manual segmentation to determine size and volume from MRI. A proof of concept on segmenting the lateral ventricles.

Manual segmentation, which is tedious, time-consuming, and operator-dependent, is currently used as ...

May 2023 PMID: 37167315

Public Health & Policy

Browse Specialties

Efficient reduction of Cr(VI) by guava (Psidium guajava) leaf extract and its mitigation effect on Cr toxicity in rice seedlings.

Machine Learning in Environmental Research: Common Pitfalls and Best Practices.

Long-lead streamflow forecasting using computational intelligence methods while considering uncertainty issue.

A stacking ensemble classifier-based machine learning model for classifying pollution sources on photovoltaic panels.

Unsupervised Learning-Based WSN Clustering for Efficient Environmental Pollution Monitoring.

On Merging Feature Engineering and Deep Learning for Diagnosis, Risk Prediction and Age Estimation Based on the 12-Lead ECG.

Machine Learning-Based Hazard-Driven Prioritization of Features in Nontarget Screening of Environmental High-Resolution Mass Spectrometry Data.

Genetic Susceptibility to Atrial Fibrillation Identified via Deep Learning of 12-Lead Electrocardiograms.

Machine and deep learning for modelling heat-health relationships.

Deep learning model for automatic image quality assessment in PET.

Prediction of heavy metals adsorption by hydrochars and identification of critical factors using machine learning algorithms.

Deep Learning-Based Quantitative Assessment of Melamine and Cyanuric Acid in Pet Food Using Fourier Transform Infrared Spectroscopy.

Structural insights, biocatalytic characteristics, and application prospects of lignin-modifying enzymes for sustainable biotechnology.

Prediction and sensitivity analysis of chlorophyll a based on a support vector machine regression algorithm.

Integrating low-cost sensor monitoring, satellite mapping, and geospatial artificial intelligence for intra-urban air pollution predictions.

Supervised deep learning with vision transformer predicts delirium using limited lead EEG.

Automated large volume sample preparation for vEM.

Eliminating the need for manual segmentation to determine size and volume from MRI. A proof of concept on segmenting the lateral ventricles.

Machine learning-based approach for efficient prediction of toxicity of chemical gases using feature selection.

A Horizon Scan to Support Chemical Pollution-Related Policymaking for Sustainable and Climate-Resilient Economies.

Deep learning for asbestos counting.

Browse Specialties