{"id":"https://openalex.org/W4390693403","doi":"https://doi.org/10.1109/icecs58634.2023.10382920","title":"Fast hypercomplex neural networks for modeling Venus planetary orbit","display_name":"Fast hypercomplex neural networks for modeling Venus planetary orbit","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4390693403","doi":"https://doi.org/10.1109/icecs58634.2023.10382920"},"language":"en","primary_location":{"id":"doi:10.1109/icecs58634.2023.10382920","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icecs58634.2023.10382920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","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/A5046098033","display_name":"Arturo Buscarino","orcid":"https://orcid.org/0000-0001-5782-8982"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Arturo Buscarino","raw_affiliation_strings":["Università degli studi di Catania,Dipartimento di Ingegneria Elettrica Elettronica e Informatica,Catania,Italy"],"affiliations":[{"raw_affiliation_string":"Università degli studi di Catania,Dipartimento di Ingegneria Elettrica Elettronica e Informatica,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048247068","display_name":"Carlo Famoso","orcid":"https://orcid.org/0000-0002-8517-7643"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo Famoso","raw_affiliation_strings":["Università degli studi di Catania,Dipartimento di Ingegneria Elettrica Elettronica e Informatica,Catania,Italy"],"affiliations":[{"raw_affiliation_string":"Università degli studi di Catania,Dipartimento di Ingegneria Elettrica Elettronica e Informatica,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043670176","display_name":"Luigi Fortuna","orcid":"https://orcid.org/0000-0003-2285-2979"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Fortuna","raw_affiliation_strings":["Università degli studi di Catania,Dipartimento di Ingegneria Elettrica Elettronica e Informatica,Catania,Italy"],"affiliations":[{"raw_affiliation_string":"Università degli studi di Catania,Dipartimento di Ingegneria Elettrica Elettronica e Informatica,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025793088","display_name":"Gabriele Puglisi","orcid":"https://orcid.org/0009-0009-6728-7716"},"institutions":[{"id":"https://openalex.org/I39063666","display_name":"University of Catania","ror":"https://ror.org/03a64bh57","country_code":"IT","type":"education","lineage":["https://openalex.org/I39063666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gabriele Puglisi","raw_affiliation_strings":["Università degli studi di Catania,Dipartimento di Ingegneria Elettrica Elettronica e Informatica,Catania,Italy"],"affiliations":[{"raw_affiliation_string":"Università degli studi di Catania,Dipartimento di Ingegneria Elettrica Elettronica e Informatica,Catania,Italy","institution_ids":["https://openalex.org/I39063666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046098033"],"corresponding_institution_ids":["https://openalex.org/I39063666"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18777875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"55","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13126","display_name":"Scientific Research and Discoveries","score":0.9807999730110168,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9641000032424927,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hypercomplex-number","display_name":"Hypercomplex number","score":0.9880599975585938},{"id":"https://openalex.org/keywords/quaternion","display_name":"Quaternion","score":0.8180326223373413},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7234506607055664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5682110786437988},{"id":"https://openalex.org/keywords/venus","display_name":"Venus","score":0.44960761070251465},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4461525082588196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4457104802131653},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.41802510619163513},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3333357572555542},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26599669456481934},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10760226845741272},{"id":"https://openalex.org/keywords/astrobiology","display_name":"Astrobiology","score":0.10527044534683228},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08904552459716797}],"concepts":[{"id":"https://openalex.org/C203249530","wikidata":"https://www.wikidata.org/wiki/Q837414","display_name":"Hypercomplex number","level":3,"score":0.9880599975585938},{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.8180326223373413},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7234506607055664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5682110786437988},{"id":"https://openalex.org/C2779900269","wikidata":"https://www.wikidata.org/wiki/Q1408724","display_name":"Venus","level":2,"score":0.44960761070251465},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4461525082588196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4457104802131653},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.41802510619163513},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3333357572555542},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26599669456481934},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10760226845741272},{"id":"https://openalex.org/C87355193","wikidata":"https://www.wikidata.org/wiki/Q411","display_name":"Astrobiology","level":1,"score":0.10527044534683228},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08904552459716797},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecs58634.2023.10382920","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icecs58634.2023.10382920","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","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":10,"referenced_works":["https://openalex.org/W1552465080","https://openalex.org/W1976774350","https://openalex.org/W2030147677","https://openalex.org/W2492889297","https://openalex.org/W2919115771","https://openalex.org/W4205997532","https://openalex.org/W4310929538","https://openalex.org/W4313589451","https://openalex.org/W4319591332","https://openalex.org/W6633352038"],"related_works":["https://openalex.org/W2916518000","https://openalex.org/W2916498667","https://openalex.org/W2917906954","https://openalex.org/W2572893131","https://openalex.org/W2917330019","https://openalex.org/W2917006597","https://openalex.org/W2125120409","https://openalex.org/W2916884673","https://openalex.org/W1897251165","https://openalex.org/W2423267406"],"abstract_inverted_index":{"The":[0,26],"goal":[1],"of":[2,42,50,55,71,85],"this":[3],"contribution":[4],"is":[5,33],"to":[6,45,58,81],"provide":[7,64],"a":[8,65],"unique":[9],"method":[10,66],"for":[11,67],"simulating":[12],"and":[13,52],"forecasting":[14],"planetary":[15],"orbits":[16],"by":[17,30,75],"utilizing":[18],"the":[19,40,53,60,69,72,83,86],"hypercomplex":[20,78],"neural":[21],"networks":[22,80],"(HNN)":[23],"enhanced":[24],"performance.":[25],"learning":[27,73],"technique":[28],"used":[29],"these":[31],"structures":[32],"based":[34],"on":[35],"quaternion":[36],"algebra,":[37],"which":[38],"reduces":[39],"number":[41,54],"epochs":[43],"needed":[44,57],"reach":[46],"an":[47],"adequate":[48],"level":[49],"approximation":[51],"parameters":[56],"model":[59],"dataset.":[61],"Additionally,":[62],"we":[63],"anticipating":[68],"results":[70],"phase":[74],"establishing":[76],"appropriate":[77],"auxiliary":[79],"forecast":[82],"trends":[84],"network":[87],"primary":[88],"weights.":[89]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}