Evaluation of natural disasters using machine learning and big data for Georgia

Palavandishvili, A.

Please use this identifier to cite or link to this item: http://openlibrary.ge/handle/123456789/10263

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DC Field	Value	Language
dc.contributor.author	Palavandishvili, A.	en
dc.date.accessioned	2022-12-01T18:18:36Z	-
dc.date.available	2022-12-01T18:18:36Z	-
dc.date.issued	2022	-
dc.identifier.citation	International Conference of Young Scientists “Modern Problems of Earth Sciences”. Proceedings, ISBN 978-9941-36-044-2, Publish House of Iv. Javakhishvili Tbilisi State University, Tbilisi, November 21-22, 2022, pp. 111-115.	en
dc.identifier.citation	ახალგაზრდა მეცნიერთა საერთაშორისო კონფერენცია “დედამიწის შემსწავლელი მეცნიერების თანამედროვე პრობლემები” შრომები, ISBN 978-9941-36-044-2, ივ. ჯავახიშვილის სახ. თბილისის სახელმწიფო უნივერსიტეტის გამომცემლობა, თბილისი, 21–22 ნოემბერი, 2022 წ., გვ. 111-115.	ka_GE
dc.identifier.uri	http://openlibrary.ge/handle/123456789/10263	-
dc.description.abstract	The purpose of the presented paper is to estimate and analyze the distribution of precipitation over the territory of Georgia to study drought related processes and other natural hazards, as well as to evaluate the possibility of environment hazard detection at the early stage of their evolution, monitoring and prediction. We intend in our study to apply the Machine Learning, the branch of computer science which focuses on the use of big data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Such analysis allows developing a Combined Drought Index (CDI) and corresponding drought hazard 5km resolution map.	en
dc.language.iso	en	en
dc.subject	დედამიწის შემსწავლელი მეცნიერების თანამედროვე პრობლემები	ka_GE
dc.subject	Modern Problems of Earth Sciences	en
dc.subject	machine learning	en
dc.subject	big data	en
dc.subject	natural disaster	en
dc.subject	drought	en
dc.title	Evaluation of natural disasters using machine learning and big data for Georgia	en
dc.type	Article	en
dc.type	სტატია	ka_GE
Appears in Collections:	ახალგაზრდა მეცნიერთა საერთაშორისო კონფერენცია “დედამიწის შემსწავლელი მეცნიერების თანამედროვე პრობლემები” - International Conference of Young Scientists “Modern Problems of Earth Sciences” - (2022)

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