AIMC Topic: Gulf of Mexico

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Predicting hydrocarbon presence in marine cold seep sediments using machine learning models trained with benthic bacterial 16S rRNA taxonomy.

Microbiology spectrum Aug 20, 2025
UNLABELLED: Hydrocarbon seepage in marine sediments exerts selective pressure on benthic microbiomes. Accordingly, microbial community composition in these sediments can reflect the presence of hydrocarbons, with specific groups being more prolific i...
Machine Learning Phylogeny Bacteria DNA, Bacterial RNA, Ribosomal, 16S Microbiota Hydrocarbons Seawater Geologic Sediments Gulf of Mexico
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MetaQA: Enhancing human-centered data search using Generative Pre-trained Transformer (GPT) language model and artificial intelligence.

PloS one Nov 13, 2023
Accessing and utilizing geospatial data from various sources is essential for developing scientific research to address complex scientific and societal challenges that require interdisciplinary knowledge. The traditional keyword-based geosearch appro...
Humans Artificial Intelligence Language Electric Power Supplies Gulf of Mexico Sentiment Analysis
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Development of artificial intelligence approach to forecasting oyster norovirus outbreaks along Gulf of Mexico coast.

Environment international Dec 20, 2017
This paper presents an artificial intelligence-based model, called ANN-2Day model, for forecasting, managing and ultimately eliminating the growing risk of oyster norovirus outbreaks. The ANN-2Day model was developed using Artificial Neural Network (...
Humans Neural Networks, Computer Forecasting Temperature Animals Public Health Disease Outbreaks Risk Ostreidae Gastroenteritis Caliciviridae Infections Gulf of Mexico Norovirus
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