{"id":"https://openalex.org/W3194262606","doi":"https://doi.org/10.1109/ecai52376.2021.9515016","title":"Modeling the Signals Collected in Cavitation Field by Stochastic and Artificial Intelligence Methods","display_name":"Modeling the Signals Collected in Cavitation Field by Stochastic and Artificial Intelligence Methods","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3194262606","doi":"https://doi.org/10.1109/ecai52376.2021.9515016","mag":"3194262606"},"language":"en","primary_location":{"id":"doi:10.1109/ecai52376.2021.9515016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecai52376.2021.9515016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043222473","display_name":"Cristian \u0218tefan Dumitriu","orcid":"https://orcid.org/0000-0003-2862-5515"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cristian Stefan Dumitriu","raw_affiliation_strings":["SC Utilnvorep SA, Constan\u0163a, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SC Utilnvorep SA, Constan\u0163a, Romania","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045250780","display_name":"Florentina Loredana DRAGOMIR","orcid":"https://orcid.org/0000-0002-4616-5092"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Florentina-Loredana Dragomir","raw_affiliation_strings":["Carol I National Devense University, Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carol I National Devense University, Bucharest, Romania","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4849,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79139087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12537","display_name":"Flow Measurement and Analysis","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12537","display_name":"Flow Measurement and Analysis","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12274","display_name":"Electrostatics and Colloid Interactions","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1606","display_name":"Physical and Theoretical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.7733193635940552},{"id":"https://openalex.org/keywords/cavitation","display_name":"Cavitation","score":0.6777037978172302},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6344216465950012},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5632228851318359},{"id":"https://openalex.org/keywords/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.563214898109436},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5400993824005127},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.5185330510139465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5008361339569092},{"id":"https://openalex.org/keywords/ultrasonic-sensor","display_name":"Ultrasonic sensor","score":0.49933457374572754},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4987142086029053},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.44651851058006287},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.37878307700157166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3565455675125122},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23656171560287476},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18258559703826904},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12562212347984314},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.1141764223575592}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7733193635940552},{"id":"https://openalex.org/C207057113","wikidata":"https://www.wikidata.org/wiki/Q201666","display_name":"Cavitation","level":2,"score":0.6777037978172302},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6344216465950012},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5632228851318359},{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.563214898109436},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5400993824005127},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.5185330510139465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5008361339569092},{"id":"https://openalex.org/C81288441","wikidata":"https://www.wikidata.org/wiki/Q20736125","display_name":"Ultrasonic sensor","level":2,"score":0.49933457374572754},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4987142086029053},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.44651851058006287},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.37878307700157166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3565455675125122},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23656171560287476},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18258559703826904},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12562212347984314},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.1141764223575592},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ecai52376.2021.9515016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecai52376.2021.9515016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W125188367","https://openalex.org/W611222296","https://openalex.org/W1979586880","https://openalex.org/W2051020557","https://openalex.org/W2117091735","https://openalex.org/W2149723649","https://openalex.org/W2166182796","https://openalex.org/W2409881968","https://openalex.org/W2600386637","https://openalex.org/W2608619052","https://openalex.org/W2767578442","https://openalex.org/W2792873668","https://openalex.org/W2799461614","https://openalex.org/W2972290680","https://openalex.org/W3013381940","https://openalex.org/W3014659803","https://openalex.org/W3023830203","https://openalex.org/W4213296478","https://openalex.org/W4249198916"],"related_works":["https://openalex.org/W67232056","https://openalex.org/W4205230296","https://openalex.org/W1502076919","https://openalex.org/W1516487464","https://openalex.org/W1981489381","https://openalex.org/W4372231798","https://openalex.org/W199725827","https://openalex.org/W4248896451","https://openalex.org/W4394470125","https://openalex.org/W1983856919"],"abstract_inverted_index":{"Studies":[0],"have":[1],"shown":[2],"that":[3],"ultrasonic":[4],"cavitation":[5],"can":[6],"give":[7],"birth":[8],"to":[9],"electrical":[10],"signals":[11,18,36],"in":[12,38,40],"liquids.":[13],"The":[14],"properties":[15],"of":[16,51],"these":[17],"depend":[19],"on":[20],"the":[21,24,28,35,44],"liquids\u2019":[22],"nature,":[23],"ultrasound":[25,45],"frequency,":[26],"and":[27,54,66,79],"generator's":[29],"functioning":[30],"power.":[31],"In":[32],"this":[33,77],"article,":[34],"collected":[37],"water":[39],"an":[41],"experiment":[42],"where":[43],"generator":[46],"worked":[47],"at":[48],"a":[49,67],"frequency":[50],"20":[52],"kHz":[53],"80W":[55],"are":[56,74,81],"characterized":[57],"by":[58],"statistical":[59],"methods.":[60],"An":[61],"autoregressive":[62],"moving":[63],"average":[64],"(ARMA)":[65],"generalized":[68],"regression":[69],"neural":[70],"network":[71],"(GRNN)":[72],"models":[73],"built":[75],"for":[76],"signal":[78],"comparisons":[80],"provided.":[82]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
