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1D convolutional neural networks for solution of the biosensor inverse problem

dc.contributor.authorDapšys, Ignas
dc.contributor.authorStarikovičius, Vadimas
dc.date.accessioned2023-09-18T16:41:19Z
dc.date.available2023-09-18T16:41:19Z
dc.date.issued2023
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/116007
dc.formatPDF
dc.format.extentp. 12
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.title1D convolutional neural networks for solution of the biosensor inverse problem
dc.typeKonferencijos pranešimo santrauka / Conference presentation abstract
dcterms.references6
dc.type.pubtypeT2 - Konferencijos pranešimo tezės / Conference presentation abstract
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.researchfieldN 009 - Informatika / Computer science
dc.subject.studydirectionA02 - Taikomoji matematika / Applied mathematics
dc.subject.vgtuprioritizedfieldsFM0101 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai / Mathematical models of physical, technological and economic processes
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enbiosensors
dc.subject.eninverse problem
dc.subject.en1D convolutional neural network
dcterms.sourcetitleMathematical Modelling and Analysis [MMA2023] : 26th international conference, May 29–June 2, 2023, Jurmala, Latvia : abstracts
dc.publisher.nameUniversity of Latvia
dc.publisher.cityRiga
dc.identifier.doi10.22364/JZYM4660
dc.identifier.elaba168587965


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