{"id":"https://openalex.org/W7165856044","doi":"https://doi.org/10.1109/sensys-adjunct71932.2026.00072","title":"Poster Abstract: Hydro-Meteorological Edge Network for Inflow Monitoring Forecasting","display_name":"Poster Abstract: Hydro-Meteorological Edge Network for Inflow Monitoring Forecasting","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7165856044","doi":"https://doi.org/10.1109/sensys-adjunct71932.2026.00072"},"language":null,"primary_location":{"id":"doi:10.1109/sensys-adjunct71932.2026.00072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensys-adjunct71932.2026.00072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems - Posters and Demos (SenSys-Adjunct)","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/A5028398956","display_name":"Pavel MATRENIN","orcid":null},"institutions":[{"id":"https://openalex.org/I130823665","display_name":"Ural Federal University","ror":"https://ror.org/00hs7dr46","country_code":"RU","type":"education","lineage":["https://openalex.org/I130823665"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Pavel Matrenin","raw_affiliation_strings":["Ural Federal University,Ekaterinburg,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ural Federal University,Ekaterinburg,Russia","institution_ids":["https://openalex.org/I130823665"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050309432","display_name":"\u0421\u0442\u0430\u043d\u0438\u0441\u043b\u0430\u0432 \u0415\u0440\u043e\u0448\u0435\u043d\u043a\u043e","orcid":null},"institutions":[{"id":"https://openalex.org/I130823665","display_name":"Ural Federal University","ror":"https://ror.org/00hs7dr46","country_code":"RU","type":"education","lineage":["https://openalex.org/I130823665"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Stanislav Eroshenko","raw_affiliation_strings":["Ural Federal University,Ekaterinburg,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ural Federal University,Ekaterinburg,Russia","institution_ids":["https://openalex.org/I130823665"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138844946","display_name":"Alexandra Khalyasmaa","orcid":null},"institutions":[{"id":"https://openalex.org/I130823665","display_name":"Ural Federal University","ror":"https://ror.org/00hs7dr46","country_code":"RU","type":"education","lineage":["https://openalex.org/I130823665"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexandra Khalyasmaa","raw_affiliation_strings":["Ural Federal University,Ekaterinburg,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ural Federal University,Ekaterinburg,Russia","institution_ids":["https://openalex.org/I130823665"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139334626","display_name":"Aleksandr Kovalenko","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120041","display_name":"Coletex (Russia)","ror":"https://ror.org/02j6dqk07","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210120041"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Aleksandr Kovalenko","raw_affiliation_strings":["AXXX,Moscow,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AXXX,Moscow,Russia","institution_ids":["https://openalex.org/I4210120041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052169416","display_name":"Viacheslav Vasilev","orcid":null},"institutions":[{"id":"https://openalex.org/I3133232569","display_name":"Gorky Institute of World Literature","ror":"https://ror.org/020frqf17","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I3133232569","https://openalex.org/I4210120960"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Viacheslav Vasilev","raw_affiliation_strings":["Kandinsky Lab,Moscow,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kandinsky Lab,Moscow,Russia","institution_ids":["https://openalex.org/I3133232569"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123560839","display_name":"Ilya Makarov","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120041","display_name":"Coletex (Russia)","ror":"https://ror.org/02j6dqk07","country_code":"RU","type":"company","lineage":["https://openalex.org/I4210120041"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ilya Makarov","raw_affiliation_strings":["AXXX,Moscow,Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AXXX,Moscow,Russia","institution_ids":["https://openalex.org/I4210120041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"125","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.11069999635219574,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.11069999635219574,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.10949999839067459,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.08739999681711197,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/inflow","display_name":"Inflow","score":0.630299985408783},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.2989000082015991},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24420000612735748}],"concepts":[{"id":"https://openalex.org/C2776132308","wikidata":"https://www.wikidata.org/wiki/Q11070850","display_name":"Inflow","level":2,"score":0.630299985408783},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4544999897480011},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.41819998621940613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4036000072956085},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.40130001306533813},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.290800005197525},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.25220000743865967},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24420000612735748},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.24169999361038208}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sensys-adjunct71932.2026.00072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensys-adjunct71932.2026.00072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems - Posters and Demos (SenSys-Adjunct)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8831670880317688,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2913463547","https://openalex.org/W2951651174","https://openalex.org/W3120943895","https://openalex.org/W3170378332","https://openalex.org/W3193725906","https://openalex.org/W4387879026","https://openalex.org/W4401490114"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-06-26T00:00:00"}