{"id":"https://openalex.org/W7170530344","doi":"https://doi.org/10.1109/ecai69016.2026.11613655","title":"Monte Carlo Sampling and Gradient-Based Optimization for an Oil-Water Separation Process","display_name":"Monte Carlo Sampling and Gradient-Based Optimization for an Oil-Water Separation Process","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7170530344","doi":"https://doi.org/10.1109/ecai69016.2026.11613655"},"language":null,"primary_location":{"id":"doi:10.1109/ecai69016.2026.11613655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecai69016.2026.11613655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 18th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5143538651","display_name":"Sanda-Florentina Mihalache","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090220","display_name":"Petroleum & Gas University of Ploie\u015fti","ror":"https://ror.org/00abdnc40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210090220"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Sanda-Florentina Mihalache","raw_affiliation_strings":["Petroleum-Gas University of Ploiesti"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Petroleum-Gas University of Ploiesti","institution_ids":["https://openalex.org/I4210090220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075082536","display_name":"Marian Popescu","orcid":"https://orcid.org/0000-0003-2027-0609"},"institutions":[{"id":"https://openalex.org/I4210090220","display_name":"Petroleum & Gas University of Ploie\u015fti","ror":"https://ror.org/00abdnc40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210090220"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Marian Popescu","raw_affiliation_strings":["Petroleum-Gas University of Ploiesti"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Petroleum-Gas University of Ploiesti","institution_ids":["https://openalex.org/I4210090220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006109105","display_name":"M Todoran","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090220","display_name":"Petroleum & Gas University of Ploie\u015fti","ror":"https://ror.org/00abdnc40","country_code":"RO","type":"education","lineage":["https://openalex.org/I4210090220"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Marian Todoran","raw_affiliation_strings":["Petroleum-Gas University of Ploiesti"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Petroleum-Gas University of Ploiesti","institution_ids":["https://openalex.org/I4210090220"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210090220"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6039000153541565},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.503000020980835},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4496999979019165},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.3871000111103058},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.33309999108314514},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.310699999332428},{"id":"https://openalex.org/keywords/slice-sampling","display_name":"Slice sampling","score":0.29510000348091125}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6039000153541565},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.503000020980835},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4496999979019165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4165000021457672},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.3871000111103058},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3788999915122986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34310001134872437},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34060001373291016},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.33309999108314514},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.310699999332428},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.30480000376701355},{"id":"https://openalex.org/C170593435","wikidata":"https://www.wikidata.org/wiki/Q4128565","display_name":"Slice sampling","level":4,"score":0.29510000348091125},{"id":"https://openalex.org/C2780232233","wikidata":"https://www.wikidata.org/wiki/Q898987","display_name":"Separation process","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.2842999994754791},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.28369998931884766},{"id":"https://openalex.org/C13153151","wikidata":"https://www.wikidata.org/wiki/Q1639846","display_name":"Hybrid Monte Carlo","level":4,"score":0.2831999957561493},{"id":"https://openalex.org/C187192777","wikidata":"https://www.wikidata.org/wiki/Q381699","display_name":"Rejection sampling","level":5,"score":0.2770000100135803},{"id":"https://openalex.org/C132725507","wikidata":"https://www.wikidata.org/wiki/Q39879","display_name":"Monte Carlo integration","level":5,"score":0.27399998903274536},{"id":"https://openalex.org/C3018256011","wikidata":"https://www.wikidata.org/wiki/Q898987","display_name":"Separation method","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.26809999346733093},{"id":"https://openalex.org/C204493344","wikidata":"https://www.wikidata.org/wiki/Q6904698","display_name":"Monte Carlo method in statistical physics","level":5,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ecai69016.2026.11613655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecai69016.2026.11613655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 18th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2900199574","https://openalex.org/W2911774787","https://openalex.org/W2921424709","https://openalex.org/W4281708409","https://openalex.org/W4307662712","https://openalex.org/W4324360039","https://openalex.org/W4367298266","https://openalex.org/W4381186802","https://openalex.org/W4387956155","https://openalex.org/W4400098007","https://openalex.org/W4404013799","https://openalex.org/W4407852885"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2026-07-25T00:00:00"}