Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/1358
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dc.contributor.authorBabović, Zoranen_US
dc.contributor.authorBajat, Branislaven_US
dc.contributor.authorĐokić, Vladanen_US
dc.contributor.authorĐorđević, Filipen_US
dc.contributor.authorDrašković, Draženen_US
dc.contributor.authorFilipović, Nenaden_US
dc.contributor.authorFurht, Borkoen_US
dc.contributor.authorGačić, Nikolaen_US
dc.contributor.authorIkodinović, Igoren_US
dc.contributor.authorIlić, Marijaen_US
dc.contributor.authorIrfanoglu, Ayhanen_US
dc.contributor.authorJelenković, Branislaven_US
dc.contributor.authorKartelj, Aleksandaren_US
dc.contributor.authorKlimeck, Gerharden_US
dc.contributor.authorKorolija, Nenaden_US
dc.contributor.authorKotlar, Milošen_US
dc.contributor.authorKovačević, Milošen_US
dc.contributor.authorKuzmanović, Vladanen_US
dc.contributor.authorMarinković, Markoen_US
dc.contributor.authorMarković, Slobodanen_US
dc.contributor.authorMendelson, Avien_US
dc.contributor.authorMilutinović, Veljkoen_US
dc.contributor.authorNešković, Aleksandaren_US
dc.contributor.authorNešković, Natašaen_US
dc.contributor.authorMitić, Nenaden_US
dc.contributor.authorNikolić, Boškoen_US
dc.contributor.authorNovoselov, Konstantinen_US
dc.contributor.authorPrakash, Arunen_US
dc.contributor.authorRatković, Ivanen_US
dc.contributor.authorStojadinović, Zoranen_US
dc.contributor.authorUstyuzhanin, Andreyen_US
dc.contributor.authorZak, Stanen_US
dc.date.accessioned2024-10-04T15:13:02Z-
dc.date.available2024-10-04T15:13:02Z-
dc.date.issued2023-12-01-
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/1358-
dc.descriptionThe version of record of this article, first published in Journal of Big Data, is available online at Publisher’s website: <a href="http://dx.doi.org/10.1186/s40537-023-00731-6">http://dx.doi.org/10.1186/s40537-023-00731-6</a>en_US
dc.description.abstractThis article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the best performance of simulation-based feasibility studies on nature-oriented engineering in general and civil engineering in particular. Topics include but are not limited to: Nature-based construction, genomics supporting nature-based construction, earthquake engineering, and other types of geophysical disaster prevention activities, as well as the studies of processes and materials of interest for the above. In all these fields, problems are discussed that generate huge amounts of Big Data and are characterized with mathematically highly complex Iterative Algorithms. In the domain of applications, it has been stressed that problems could be made less computationally demanding if the number of computing iterations is made smaller (with the help of Artificial Intelligence or Conditional Algorithms), or if each computing iteration is made shorter in time (with the help of Data Filtration and Data Quantization). In the domain of computing, it has been stressed that computing could be made more powerful if the implementation technology is changed (Si, GaAs, etc.…), or if the computing paradigm is changed (Control Flow, Data Flow, etc.…).en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofJournal of Big Dataen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subjectArtificial intelligenceen_US
dc.subjectBig dataen_US
dc.subjectComputing paradigmsen_US
dc.subjectControl flowen_US
dc.subjectData flowen_US
dc.titleResearch in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problemsen_US
dc.typeArticleen_US
dc.identifier.doi10.1186/s40537-023-00731-6-
dc.identifier.scopus2-s2.0-85160105439-
dc.identifier.isi000993859600004-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85160105439-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.relation.issn2196-1115en_US
dc.description.rankM21aen_US
dc.relation.firstpageArticle no. 73en_US
dc.relation.volume10en_US
dc.relation.issue1en_US
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairetypeArticle-
crisitem.author.deptInformatics and Computer Science-
crisitem.author.deptInformatics and Computer Science-
crisitem.author.orcid0000-0001-9839-6039-
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