{"id":"https://openalex.org/W7204993039","doi":"https://doi.org/10.5937/vojtehg75-62704","title":"Hyperparameter optimization and validation of a deep learning instance segmentation model for real-time specific military equipment surveillance","display_name":"Hyperparameter optimization and validation of a deep learning instance segmentation model for real-time specific military equipment surveillance","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7204993039","doi":"https://doi.org/10.5937/vojtehg75-62704"},"language":"en","primary_location":{"id":"doi:10.5937/vojtehg75-62704","doi":"https://doi.org/10.5937/vojtehg75-62704","is_oa":true,"landing_page_url":"https://doi.org/10.5937/vojtehg75-62704","pdf_url":"https://scindeks-clanci.ceon.rs/data/pdf/0042-8469/8888/0042-84698800005Q.pdf","source":{"id":"https://openalex.org/S2737929905","display_name":"Vojnotehnicki glasnik","issn_l":"0042-8469","issn":["0042-8469","2217-4753"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["ddh","doaj","erih-plus"],"host_organization":"https://openalex.org/P4310321186","host_organization_name":"University of Defence","host_organization_lineage":["https://openalex.org/P4310321186"],"host_organization_lineage_names":["University of Defence"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Vojnotehnicki glasnik","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W7204993039"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://scindeks-clanci.ceon.rs/data/pdf/0042-8469/8888/0042-84698800005Q.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135585262","display_name":"Marko M. \u017divanovi\u0107","orcid":"https://orcid.org/0009-0005-9264-3314","observed_orcids":["https://orcid.org/0009-0005-9264-3314"]},"institutions":[{"id":"https://openalex.org/I4405254898","display_name":"Academy of Technical and Art Applied Studies","ror":"https://ror.org/02c798j29","country_code":"RS","type":"education","lineage":["https://openalex.org/I4405254898"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Marko \u017divanovi\u0107","raw_affiliation_strings":["Academy of Technical and Art Applied Studies (VI\u0160ER), School of Electrical and Computer Engineering, Belgrade"],"raw_orcid":"https://orcid.org/0009-0005-9264-3314","affiliations":[{"raw_affiliation_string":"Academy of Technical and Art Applied Studies (VI\u0160ER), School of Electrical and Computer Engineering, Belgrade","institution_ids":["https://openalex.org/I4405254898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130607724","display_name":"Bo\u017eidar Jankovi\u0107","orcid":"https://orcid.org/0009-0009-7753-1997","observed_orcids":["https://orcid.org/0009-0009-7753-1997"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo\u017eidar Jankovi\u0107","raw_affiliation_strings":["Ministry of Interior, Police Directorate, Directorate for Technology, Service for Combating High-Tech Crime"],"raw_orcid":"https://orcid.org/0009-0009-7753-1997","affiliations":[{"raw_affiliation_string":"Ministry of Interior, Police Directorate, Directorate for Technology, Service for Combating High-Tech Crime","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032146256","display_name":"Ana Savi\u0107","orcid":"https://orcid.org/0000-0002-8099-1136","observed_orcids":["https://orcid.org/0000-0002-8099-1136"]},"institutions":[{"id":"https://openalex.org/I4405254898","display_name":"Academy of Technical and Art Applied Studies","ror":"https://ror.org/02c798j29","country_code":"RS","type":"education","lineage":["https://openalex.org/I4405254898"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Ana Savi\u0107","raw_affiliation_strings":["Academy of Technical and Art Applied Studies (VI\u0160ER), School of Electrical and Computer Engineering, Belgrade"],"raw_orcid":"https://orcid.org/0000-0002-8099-1136","affiliations":[{"raw_affiliation_string":"Academy of Technical and Art Applied Studies (VI\u0160ER), School of Electrical and Computer Engineering, Belgrade","institution_ids":["https://openalex.org/I4405254898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035872578","display_name":"Nemanja Ma\u010dek","orcid":"https://orcid.org/0000-0002-3465-7524","observed_orcids":["https://orcid.org/0000-0002-3465-7524"]},"institutions":[{"id":"https://openalex.org/I4405254898","display_name":"Academy of Technical and Art Applied Studies","ror":"https://ror.org/02c798j29","country_code":"RS","type":"education","lineage":["https://openalex.org/I4405254898"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Nemanja Ma\u010dek","raw_affiliation_strings":["Academy of Technical and Art Applied Studies (VI\u0160ER), School of Electrical and Computer Engineering, Belgrade"],"raw_orcid":"https://orcid.org/0000-0002-3465-7524","affiliations":[{"raw_affiliation_string":"Academy of Technical and Art Applied Studies (VI\u0160ER), School of Electrical and Computer Engineering, Belgrade","institution_ids":["https://openalex.org/I4405254898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016898335","display_name":"Hana Z. Stefanovic","orcid":"https://orcid.org/0000-0003-0890-4410","observed_orcids":["https://orcid.org/0000-0003-0890-4410"]},"institutions":[{"id":"https://openalex.org/I4405254898","display_name":"Academy of Technical and Art Applied Studies","ror":"https://ror.org/02c798j29","country_code":"RS","type":"education","lineage":["https://openalex.org/I4405254898"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Hana Stefanovi\u0107","raw_affiliation_strings":["Academy of Technical and Art Applied Studies (VI\u0160ER), School of Electrical and Computer Engineering, Belgrade"],"raw_orcid":"https://orcid.org/0000-0003-0890-4410","affiliations":[{"raw_affiliation_string":"Academy of Technical and Art Applied Studies (VI\u0160ER), School of Electrical and Computer Engineering, Belgrade","institution_ids":["https://openalex.org/I4405254898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":"00","first_page":"5","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.00019999999494757503,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/instance-segmentation","display_name":"instance segmentation","score":0.8700000047683716},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.9520000219345093},{"id":"https://openalex.org/keywords/overfitting","display_name":"overfitting","score":0.8309999704360962},{"id":"https://openalex.org/keywords/camouflage","display_name":"camouflage","score":0.4959999918937683},{"id":"https://openalex.org/keywords/occlusion","display_name":"occlusion","score":0.847000002861023},{"id":"https://openalex.org/keywords/ballistic-helmets","display_name":"ballistic helmets","score":0.8040000200271606},{"id":"https://openalex.org/keywords/real-time-processing","display_name":"real-time processing","score":0.6990000009536743},{"id":"https://openalex.org/keywords/military-personnel","display_name":"military personnel","score":0.5839999914169312},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.6800000071525574}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.9039999842643738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6277999877929688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.623199999332428},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6126999855041504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5390999913215637},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.536300003528595},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5098999738693237},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44510000944137573},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4424999952316284},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.42080000042915344},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.40049999952316284},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39340001344680786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3855000138282776},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3686999976634979},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.35339999198913574},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.34119999408721924},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3384999930858612},{"id":"https://openalex.org/C2776196576","wikidata":"https://www.wikidata.org/wiki/Q196113","display_name":"Camouflage","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3327000141143799},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5937/vojtehg75-62704","doi":"https://doi.org/10.5937/vojtehg75-62704","is_oa":true,"landing_page_url":"https://doi.org/10.5937/vojtehg75-62704","pdf_url":"https://scindeks-clanci.ceon.rs/data/pdf/0042-8469/8888/0042-84698800005Q.pdf","source":{"id":"https://openalex.org/S2737929905","display_name":"Vojnotehnicki glasnik","issn_l":"0042-8469","issn":["0042-8469","2217-4753"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["ddh","doaj","erih-plus"],"host_organization":"https://openalex.org/P4310321186","host_organization_name":"University of Defence","host_organization_lineage":["https://openalex.org/P4310321186"],"host_organization_lineage_names":["University of Defence"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Vojnotehnicki glasnik","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.5937/vojtehg75-62704","doi":"https://doi.org/10.5937/vojtehg75-62704","is_oa":true,"landing_page_url":"https://doi.org/10.5937/vojtehg75-62704","pdf_url":"https://scindeks-clanci.ceon.rs/data/pdf/0042-8469/8888/0042-84698800005Q.pdf","source":{"id":"https://openalex.org/S2737929905","display_name":"Vojnotehnicki glasnik","issn_l":"0042-8469","issn":["0042-8469","2217-4753"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["ddh","doaj","erih-plus"],"host_organization":"https://openalex.org/P4310321186","host_organization_name":"University of Defence","host_organization_lineage":["https://openalex.org/P4310321186"],"host_organization_lineage_names":["University of Defence"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Vojnotehnicki glasnik","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204993039.pdf","grobid_xml":"https://content.openalex.org/works/W7204993039.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W2940837203","https://openalex.org/W2950628590","https://openalex.org/W2960251737","https://openalex.org/W2963150697","https://openalex.org/W3000144357","https://openalex.org/W3016664689","https://openalex.org/W3039368862","https://openalex.org/W3043995050","https://openalex.org/W3113410735","https://openalex.org/W3137536397","https://openalex.org/W3185379701","https://openalex.org/W4311001968","https://openalex.org/W4386914050","https://openalex.org/W4399893080","https://openalex.org/W4403560565","https://openalex.org/W4407759488","https://openalex.org/W7131365615"],"related_works":["https://openalex.org/W4409073703","https://openalex.org/W4399192221","https://openalex.org/W7134901225","https://openalex.org/W7221503890","https://openalex.org/W4399492750","https://openalex.org/W3008717069","https://openalex.org/W4392188507","https://openalex.org/W4407355097","https://openalex.org/W4381278824","https://openalex.org/W4386952024"],"abstract_inverted_index":{"Introduction/Objective:":[0],"On":[1],"the":[2,13,64,117,140,172,177,222,241,278],"modern":[3],"battlefield,":[4],"a":[5,33,80,91,151,254],"soldier's":[6],"combat":[7,30,41],"readiness":[8],"is":[9,32,48,63,246],"directly":[10],"dependent":[11],"on":[12,79,90,96,176,243],"proper":[14],"use":[15,285],"of":[16,23,60,70,102,116,120,154,190,193,198,224,237],"specific":[17],"military":[18,51,97],"equipment":[19,289],"(SME).":[20],"Automatic":[21],"verification":[22],"SME":[24,76],"usage,":[25],"primarily":[26],"ballistic":[27],"helmets":[28],"and":[29,39,56,68,135,145,161,195,208,266,292],"vests,":[31],"critical":[34],"factor":[35],"for":[36,50,74,168,239,258,280,288],"risk":[37],"reduction":[38],"increasing":[40],"effectiveness.":[42],"Traditional":[43],"object":[44],"detection":[45],"(bounding":[46],"box)":[47],"inadequate":[49],"conditions":[52],"due":[53,216],"to":[54,110,138,212,217],"camouflage":[55],"occlusion.":[57],"The":[58,86,234,249],"objective":[59],"this":[61,244],"paper":[62,276],"development,":[65],"rigorous":[66],"optimization,":[67],"validation":[69,178],"an":[71,188,196],"efficient":[72],"system":[73,87,255],"real-time":[75,270],"segmentation,":[77],"based":[78],"modern,":[81],"lightweight":[82],"YOLO12-seg":[83],"architecture.":[84],"Methods:":[85],"was":[88,108,123,148,182],"trained":[89],"custom-created":[92],"\"Mil-SME-Seg\"":[93],"dataset":[94,245],"focused":[95],"personnel.":[98],"An":[99],"advanced":[100],"set":[101,153],"data":[103],"augmentations":[104],"(Mosaic,":[105],"MixUp,":[106],"HSV-shift)":[107],"applied":[109],"achieve":[111],"robustness.":[112],"A":[113],"systematic":[114],"optimization":[115],"key":[118],"\"number":[119],"epochs\"":[121],"hyperparameter":[122],"performed":[124],"through":[125],"five":[126],"independent,":[127],"repeatable":[128],"training":[129,167,205,240],"runs":[130,206],"(100,":[131],"120,":[132],"150,":[133],"200,":[134],"250":[136,209],"epochs)":[137,210],"identify":[139],"optimal":[141,235],"balance":[142],"between":[143],"accuracy":[144],"overfitting.":[146,218],"Performance":[147],"evaluated":[149],"using":[150],"comprehensive":[152],"segmentation":[155,225,286],"metrics,":[156],"including":[157],"mAP50-95(M),":[158],"mAP50(M),":[159],"mAP75(M),":[160],"F1-Score(M).":[162],"Results:":[163],"Experiments":[164],"showed":[165],"that":[166,203,283],"150":[169],"epochs":[170,238],"yields":[171],"best":[173],"generalized":[174],"results":[175],"set.":[179],"Peak":[180],"performance":[181,214],"achieved":[183],"at":[184],"epoch":[185],"144,":[186],"with":[187,256],"mAP50-95(M)":[189],"0.6128,":[191],"mAP50(M)":[192],"0.7852,":[194],"F1-Score(M)":[197],"0.741.":[199],"Metric":[200],"analysis":[201,220],"indicates":[202],"longer":[204],"(200":[207],"lead":[211],"clear":[213],"degradation":[215],"Qualitative":[219],"confirms":[221],"superiority":[223],"in":[226],"tactically":[227],"relevant":[228],"scenarios":[229],"(camouflage,":[230],"partial":[231],"occlusion).":[232],"Conclusion:":[233],"number":[236],"model":[242],"approximately":[247],"150.":[248],"resulting":[250],"model,":[251],"integrated":[252],"into":[253],"support":[257],"dynamic":[259],"\"military":[260],"scenarios,\"":[261],"proved":[262],"its":[263],"practical":[264],"applicability":[265],"tactical":[267],"value,":[268],"achieving":[269],"processing":[271],"speeds":[272],"(48-55":[273],"FPS).":[274],"This":[275],"lays":[277],"foundation":[279],"future":[281],"systems":[282],"will":[284],"masks":[287],"damage":[290],"assessment":[291],"sensor":[293],"fusion.":[294]},"counts_by_year":[],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2026-09-02T00:00:00"}