{"id":"https://openalex.org/W4403535493","doi":"https://doi.org/10.1109/codit62066.2024.10708114","title":"Optimizing Hyperparameters of a Multi-Scale Convolutional Neural Model Tailored to Describe Amorphous Materials Behavior","display_name":"Optimizing Hyperparameters of a Multi-Scale Convolutional Neural Model Tailored to Describe Amorphous Materials Behavior","publication_year":2024,"publication_date":"2024-07-01","ids":{"openalex":"https://openalex.org/W4403535493","doi":"https://doi.org/10.1109/codit62066.2024.10708114"},"language":"en","primary_location":{"id":"doi:10.1109/codit62066.2024.10708114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dk.upce.cz/items/5d960a87-ad8d-42d7-a4a9-340560e5d957/request-a-copy?bitstream=5f7e2978-b1ab-42cf-82c9-7704413f1eaf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058463352","display_name":"Marek Pakosta","orcid":"https://orcid.org/0009-0006-1915-8619"},"institutions":[{"id":"https://openalex.org/I140744787","display_name":"University of Pardubice","ror":"https://ror.org/01chzd453","country_code":"CZ","type":"education","lineage":["https://openalex.org/I140744787"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Marek Pakosta","raw_affiliation_strings":["University of Pardubice,Faculty of Electrical Engineering and Informatics,Dept. of Process Control,Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pardubice,Faculty of Electrical Engineering and Informatics,Dept. of Process Control,Czech Republic","institution_ids":["https://openalex.org/I140744787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5058463352"],"corresponding_institution_ids":["https://openalex.org/I140744787"],"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":"958","last_page":"963"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.7660999894142151,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.7660999894142151,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.7294999957084656,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.8438024520874023},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7698918581008911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6745445728302002},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5837183594703674},{"id":"https://openalex.org/keywords/amorphous-solid","display_name":"Amorphous solid","score":0.5438959002494812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4767637848854065},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.387462854385376},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.10352227091789246}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8438024520874023},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7698918581008911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6745445728302002},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5837183594703674},{"id":"https://openalex.org/C56052488","wikidata":"https://www.wikidata.org/wiki/Q103382","display_name":"Amorphous solid","level":2,"score":0.5438959002494812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4767637848854065},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.387462854385376},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.10352227091789246},{"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/codit62066.2024.10708114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit62066.2024.10708114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:dk.upce.cz:10195/86186","is_oa":true,"landing_page_url":"https://dk.upce.cz/items/5d960a87-ad8d-42d7-a4a9-340560e5d957/request-a-copy?bitstream=5f7e2978-b1ab-42cf-82c9-7704413f1eaf","pdf_url":null,"source":{"id":"https://openalex.org/S4306402294","display_name":"Digit\u00e1ln\u00ed knihovna Univerzity Pardubice (Univerzity Pardubice)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I140744787","host_organization_name":"University of Pardubice","host_organization_lineage":["https://openalex.org/I140744787"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"ConferenceObject"}],"best_oa_location":{"id":"pmh:oai:dk.upce.cz:10195/86186","is_oa":true,"landing_page_url":"https://dk.upce.cz/items/5d960a87-ad8d-42d7-a4a9-340560e5d957/request-a-copy?bitstream=5f7e2978-b1ab-42cf-82c9-7704413f1eaf","pdf_url":null,"source":{"id":"https://openalex.org/S4306402294","display_name":"Digit\u00e1ln\u00ed knihovna Univerzity Pardubice (Univerzity Pardubice)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I140744787","host_organization_name":"University of Pardubice","host_organization_lineage":["https://openalex.org/I140744787"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"ConferenceObject"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.5,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2001212768","https://openalex.org/W2042862454","https://openalex.org/W2045524710","https://openalex.org/W2106681266","https://openalex.org/W2128997946","https://openalex.org/W2620050178","https://openalex.org/W2963893037","https://openalex.org/W3094297360","https://openalex.org/W3194730353","https://openalex.org/W4206476126","https://openalex.org/W4220953050","https://openalex.org/W4386276215"],"related_works":["https://openalex.org/W4206951940","https://openalex.org/W4382602594","https://openalex.org/W4387850423","https://openalex.org/W2602382373","https://openalex.org/W3003615511","https://openalex.org/W4285827128","https://openalex.org/W3198113463","https://openalex.org/W2787698406","https://openalex.org/W2963844355","https://openalex.org/W4361251046"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"optimization":[4],"procedure":[5],"of":[6,21,33,42,53,61,96,104,117,166],"parameters":[7],"in":[8,108],"a":[9,54,64,93,163],"multi-scale":[10],"neural":[11],"model,":[12],"which":[13,29,80],"is":[14,30],"crucial":[15],"for":[16,136,158,172,191],"accurately":[17],"characterizing":[18],"the":[19,34,102,109,114,134,146,156,188],"behavior":[20],"amorphous":[22],"materials;":[23],"more":[24],"specifically":[25],"glass":[26],"transition":[27],"kinetics,":[28],"considered":[31],"one":[32],"most":[35],"important":[36],"yet":[37],"not":[38],"fully":[39],"understood":[40],"phenomena":[41],"solid-state":[43],"physics":[44],"and":[45,58,106,152],"chemistry,":[46],"with":[47,84,176],"wide-ranging":[48],"applications.":[49],"Through":[50],"systematic":[51],"exploration":[52],"hyperparameter":[55,167],"grid":[56],"space":[57],"rigorous":[59],"evaluation":[60],"resultant":[62],"models,":[63],"highly":[65],"effective":[66],"configuration":[67],"was":[68],"identified":[69],"\u2013":[70,79],"Conv1D":[71,74,177,180],"kernel":[72,98,178],"size=8-24-48,":[73,179],"#filters=16":[75,181],"&":[76,182],"Dense":[77,183],"#neurons=16":[78,184],"offers":[81],"optimal":[82],"performance":[83,116,128],"remarkably":[85],"short":[86],"mean":[87],"epoch":[88],"times.":[89],"Our":[90,143],"findings":[91],"suggest":[92],"promising":[94,170],"strategy":[95],"increasing":[97],"size":[99],"while":[100],"decreasing":[101],"number":[103],"filters":[105],"neurons":[107],"dense":[110],"layer,":[111],"supported":[112],"by":[113],"superior":[115],"key":[118],"competitors":[119],"sharing":[120],"this":[121],"trend.":[122],"However,":[123],"further":[124,159],"examination":[125],"reveals":[126],"comparable":[127],"levels":[129],"among":[130],"subsequent":[131],"competitors,":[132],"indicating":[133],"need":[135],"additional":[137],"samples":[138],"to":[139,161],"draw":[140],"definitive":[141],"conclusions.":[142],"experiment":[144],"highlights":[145],"intricate":[147],"relationship":[148],"between":[149],"model":[150],"accuracy":[151],"computational":[153],"resources,":[154],"emphasizing":[155],"necessity":[157],"results":[160],"gain":[162],"comprehensive":[164],"understanding":[165],"impact.":[168],"Three":[169],"combinations":[171],"future":[173],"experimentation":[174],"emerge,":[175],"standing":[185],"out":[186],"as":[187],"clear":[189],"winner":[190],"practical":[192],"application.":[193]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}