A machine learning model for an earthquake forecasting parallel processing

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dc.contributor.authorKollam, Manoj (The University of the West Indies, St. Augustine Campus, Faculty of Engineering, Dept. of Electrical and Computer Engineering, Trinidad and Tobago)
dc.contributor.authorJoshi, Dr. Ajay (The University of the West Indies, St. Augustine Campus, Faculty of Engineering, Dept. of Electrical and Computer Engineering, Trinidad and Tobago)
dc.date.accessioned2021-04-15T15:51:08Z
dc.date.available2021-04-15T15:51:08Z
dc.date.issued2020-06
dc.descriptionInternational Conference on Emerging Trends in Engineering and Technology (IConETech) Conference held virtually from 1-5 June, 2020.en_US
dc.description.sponsorshipThe University of the West Indies, St. Augustine Campus, Faculty of Engineering, Trinidad and Tobagoen_US
dc.identifier.isbn978-976-620-3023
dc.identifier.urihttps://hdl.handle.net/2139/49612
dc.language.isoenen_US
dc.publisherThe University of the West Indies, Faculty of Engineering, Trinidad and Tobagoen_US
dc.subjectEarthquake prediction -- Trinidad and Tobagoen_US
dc.subjectPrallel processing (Electronic computers)en_US
dc.titleA machine learning model for an earthquake forecasting parallel processingen_US
dc.typeArticleen_US

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