{"id":"https://openalex.org/W4415003399","doi":"https://doi.org/10.1109/acit65614.2025.11185725","title":"Predicting the Impact of Investment in the Production of Dual-Use Goods on Economic Growth Using a Neural Network","display_name":"Predicting the Impact of Investment in the Production of Dual-Use Goods on Economic Growth Using a Neural Network","publication_year":2025,"publication_date":"2025-09-17","ids":{"openalex":"https://openalex.org/W4415003399","doi":"https://doi.org/10.1109/acit65614.2025.11185725"},"language":"en","primary_location":{"id":"doi:10.1109/acit65614.2025.11185725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit65614.2025.11185725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 15th International Conference on Advanced Computer Information Technologies (ACIT)","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/A5020740503","display_name":"Tetiana Zatonatska","orcid":"https://orcid.org/0000-0001-9197-0560"},"institutions":[{"id":"https://openalex.org/I189238007","display_name":"Taras Shevchenko National University of Kyiv","ror":"https://ror.org/02aaqv166","country_code":"UA","type":"education","lineage":["https://openalex.org/I189238007"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Tetiana Zatonatska","raw_affiliation_strings":["Taras Shevchenko National University of Kyiv,Department of Economic Cybernetics,Kyiv,Ukraine"],"affiliations":[{"raw_affiliation_string":"Taras Shevchenko National University of Kyiv,Department of Economic Cybernetics,Kyiv,Ukraine","institution_ids":["https://openalex.org/I189238007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110833137","display_name":"Alim Syzov","orcid":null},"institutions":[{"id":"https://openalex.org/I189238007","display_name":"Taras Shevchenko National University of Kyiv","ror":"https://ror.org/02aaqv166","country_code":"UA","type":"education","lineage":["https://openalex.org/I189238007"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Alim Syzov","raw_affiliation_strings":["National University of Kyiv,Research Center Military Institute of Taras Shevchenko,Kyiv,Ukraine"],"affiliations":[{"raw_affiliation_string":"National University of Kyiv,Research Center Military Institute of Taras Shevchenko,Kyiv,Ukraine","institution_ids":["https://openalex.org/I189238007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111438309","display_name":"S. V. Dyachenko","orcid":"https://orcid.org/0000-0002-0104-2769"},"institutions":[{"id":"https://openalex.org/I189238007","display_name":"Taras Shevchenko National University of Kyiv","ror":"https://ror.org/02aaqv166","country_code":"UA","type":"education","lineage":["https://openalex.org/I189238007"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Serhiy Dyachenko","raw_affiliation_strings":["National University of Kyiv,Research Center Military Institute of Taras Shevchenko,Kyiv,Ukraine"],"affiliations":[{"raw_affiliation_string":"National University of Kyiv,Research Center Military Institute of Taras Shevchenko,Kyiv,Ukraine","institution_ids":["https://openalex.org/I189238007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060359898","display_name":"\u041e\u043b\u0435\u043a\u0441\u0430\u043d\u0434\u0440 \u041e\u0441\u0442\u0430\u043f\u0435\u043d\u043a\u043e","orcid":"https://orcid.org/0000-0003-3194-0372"},"institutions":[{"id":"https://openalex.org/I189238007","display_name":"Taras Shevchenko National University of Kyiv","ror":"https://ror.org/02aaqv166","country_code":"UA","type":"education","lineage":["https://openalex.org/I189238007"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Oleksandr Ostapenko","raw_affiliation_strings":["Military Institute of Taras Shevchenko National University of Kyiv,Department of Finance,Kyiv,Ukraine"],"affiliations":[{"raw_affiliation_string":"Military Institute of Taras Shevchenko National University of Kyiv,Department of Finance,Kyiv,Ukraine","institution_ids":["https://openalex.org/I189238007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020554916","display_name":"Oles Koval","orcid":"https://orcid.org/0000-0003-2696-7204"},"institutions":[{"id":"https://openalex.org/I189238007","display_name":"Taras Shevchenko National University of Kyiv","ror":"https://ror.org/02aaqv166","country_code":"UA","type":"education","lineage":["https://openalex.org/I189238007"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Oles Koval","raw_affiliation_strings":["Military Institute of Taras Shevchenko National University of Kyiv,Department of Finance,Kyiv,Ukraine"],"affiliations":[{"raw_affiliation_string":"Military Institute of Taras Shevchenko National University of Kyiv,Department of Finance,Kyiv,Ukraine","institution_ids":["https://openalex.org/I189238007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020740503"],"corresponding_institution_ids":["https://openalex.org/I189238007"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31909112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"396","last_page":"406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.2985000014305115,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.2985000014305115,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.6154000163078308},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.60589998960495},{"id":"https://openalex.org/keywords/investment","display_name":"Investment (military)","score":0.6053000092506409},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5041000247001648},{"id":"https://openalex.org/keywords/geopolitics","display_name":"Geopolitics","score":0.4799000024795532},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4733999967575073},{"id":"https://openalex.org/keywords/economic-impact-analysis","display_name":"Economic impact analysis","score":0.38359999656677246},{"id":"https://openalex.org/keywords/capital-good","display_name":"Capital good","score":0.37940001487731934}],"concepts":[{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.6154000163078308},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.60589998960495},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.6053000092506409},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.6046000123023987},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5041000247001648},{"id":"https://openalex.org/C201960208","wikidata":"https://www.wikidata.org/wiki/Q159385","display_name":"Geopolitics","level":3,"score":0.4799000024795532},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4733999967575073},{"id":"https://openalex.org/C188897","wikidata":"https://www.wikidata.org/wiki/Q5333508","display_name":"Economic impact analysis","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C118661131","wikidata":"https://www.wikidata.org/wiki/Q1671781","display_name":"Capital good","level":3,"score":0.37940001487731934},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.37549999356269836},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3587999939918518},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.35850000381469727},{"id":"https://openalex.org/C2778300220","wikidata":"https://www.wikidata.org/wiki/Q114380","display_name":"Financial crisis","level":2,"score":0.3434999883174896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C2777011217","wikidata":"https://www.wikidata.org/wiki/Q1671781","display_name":"Investment goods","level":3,"score":0.29649999737739563},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.2955000102519989},{"id":"https://openalex.org/C180075932","wikidata":"https://www.wikidata.org/wiki/Q5333342","display_name":"Econometric model","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C202353208","wikidata":"https://www.wikidata.org/wiki/Q1167393","display_name":"Economic indicator","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2718000113964081},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.2694000005722046},{"id":"https://openalex.org/C33842695","wikidata":"https://www.wikidata.org/wiki/Q490513","display_name":"Foreign direct investment","level":2,"score":0.2687999904155731}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acit65614.2025.11185725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit65614.2025.11185725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 15th International Conference on Advanced Computer Information Technologies (ACIT)","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":8,"referenced_works":["https://openalex.org/W2111440106","https://openalex.org/W2624385633","https://openalex.org/W2734986640","https://openalex.org/W3036191804","https://openalex.org/W3190930981","https://openalex.org/W4376288655","https://openalex.org/W4382753431","https://openalex.org/W4388566645"],"related_works":[],"abstract_inverted_index":{"This":[0,76,113,213],"study":[1,214,240],"analyses":[2],"the":[3,8,17,35,42,61,81,97,101,105,120,136,151,155,178,181,220],"impact":[4,207],"of":[5,10,19,31,44,63,83,110,122,135,154,166,174,180,184,234],"investments":[6,185],"in":[7,16,90,168,195],"production":[9],"dual-use":[11,197,223],"goods":[12,224],"on":[13,208,222],"economic":[14,111,163,209,257],"growth":[15,164,210],"context":[18],"geopolitical":[20,84,188],"and":[21,46,60,93,107,118,130,142,247],"financial":[22],"crises.":[23],"For":[24],"this":[25],"purpose,":[26],"we":[27],"used":[28],"a":[29,123,161,171,216],"set":[30],"statistical":[32],"data":[33,53],"covering":[34],"period":[36],"from":[37,96],"2007":[38],"to":[39,116,148,200,219,236,245,251],"2022":[40],"for":[41,72,170],"countries":[43],"Northern":[45],"Eastern":[47,91],"Europe.":[48],"The":[49,133,157,239],"research":[50,102],"methodology":[51,103],"integrates":[52],"pre-processing":[54],"methods,":[55],"including":[56,86],"normalization,":[57],"outlier":[58],"detection,":[59],"construction":[62],"interaction":[64],"functions":[65],"that":[66,193],"include":[67],"an":[68],"additional":[69],"crisis":[70,237],"indicator":[71],"more":[73],"accurate":[74],"predictions.":[75],"approach":[77],"is":[78,138,191],"appropriate":[79],"given":[80],"factors":[82],"tension,":[85],"full-scale":[87],"military":[88,248],"operations":[89],"Europe":[92],"warning":[94],"signs":[95],"White":[98],"House.":[99],"Therefore,":[100],"considers":[104],"non-linearities":[106],"shocks":[108],"characteristic":[109],"turbulence.":[112],"led":[114],"us":[115],"develop":[117],"improve":[119],"architecture":[121],"feed-forward":[124],"neural":[125,227],"network":[126,228],"with":[127,231,255],"early":[128],"stopping":[129],"overfitting":[131],"mitigation.":[132],"performance":[134],"model":[137],"evaluated":[139],"using":[140],"MAE":[141],"RMSE,":[143],"which":[144,176],"indicate":[145],"its":[146,205],"ability":[147],"generalize":[149],"despite":[150],"limited":[152],"size":[153],"dataset.":[156],"forecasting":[158,229],"results":[159],"suggest":[160],"marginal":[162],"rate":[165],"0.0187":[167],"2025":[169],"selected":[172],"group":[173],"countries,":[175],"reflects":[177],"weakening":[179],"long-term":[182],"effect":[183],"caused":[186],"by":[187,225],"tensions.":[189],"It":[190],"confirmed":[192],"investment":[194],"certain":[196],"industries":[198],"tends":[199],"increase":[201],"during":[202],"crises,":[203],"but":[204],"cumulative":[206],"remains":[211],"moderate.":[212],"makes":[215],"new":[217],"contribution":[218],"literature":[221],"combining":[226],"modelling":[230],"functional":[232],"engineering":[233],"sensitivity":[235],"anomalies.":[238],"may":[241],"be":[242],"particularly":[243],"useful":[244],"policymakers":[246],"leaders":[249],"seeking":[250],"balance":[252],"defense":[253],"priorities":[254],"sustainable":[256],"development.":[258]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
