2025-02-22T17:08:40-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22pp_isofts_kiev_ua-article-606%22&qt=morelikethis&rows=5
2025-02-22T17:08:40-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22pp_isofts_kiev_ua-article-606%22&qt=morelikethis&rows=5
2025-02-22T17:08:40-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T17:08:40-05:00 DEBUG: Deserialized SOLR response
Low frequency signal classification using clustering methods

Low frequency signal classification using clustering methods

The article considers the problem of low frequency signal classification, as sound or vibration pattern footprints may describe types of objects very well. In cases of a priori absence of object signal pattern information, the unsupervised learning methods based on clustering looks good enough for c...

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Bibliographic Details
Main Authors: Rahozin, D.V., Doroshenko, A.Yu.
Format: Article
Language:Ukrainian
Published: Інститут програмних систем НАН України 2024
Subjects:
data classification
unsupervised learning
data clustering
sound processing
UDC 681.3
Online Access:https://pp.isofts.kiev.ua/index.php/ojs1/article/view/606
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2025-02-22T17:08:40-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22pp_isofts_kiev_ua-article-606%22&qt=morelikethis
2025-02-22T17:08:40-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22pp_isofts_kiev_ua-article-606%22&qt=morelikethis
2025-02-22T17:08:40-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T17:08:40-05:00 DEBUG: Deserialized SOLR response

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