{"id":"https://openalex.org/W4327949734","doi":"https://doi.org/10.3390/computation11030062","title":"Innovative Out-of-Stock Prediction System Based on Data History Knowledge Deep Learning Processing","display_name":"Innovative Out-of-Stock Prediction System Based on Data History Knowledge Deep Learning Processing","publication_year":2023,"publication_date":"2023-03-20","ids":{"openalex":"https://openalex.org/W4327949734","doi":"https://doi.org/10.3390/computation11030062"},"language":"en","primary_location":{"id":"doi:10.3390/computation11030062","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/computation11030062","pdf_url":"https://www.mdpi.com/2079-3197/11/3/62/pdf?version=1679304551","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-3197/11/3/62/pdf?version=1679304551","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065258257","display_name":"Concetta Giaconia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Concetta Giaconia","raw_affiliation_strings":["Astrea Consulting srl\u2014R&D Department, Via F. Bruno, Petralia Soprana, 90026 Palermo, Italy"],"affiliations":[{"raw_affiliation_string":"Astrea Consulting srl\u2014R&D Department, Via F. Bruno, Petralia Soprana, 90026 Palermo, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077983394","display_name":"Aziz Chamas","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Aziz Chamas","raw_affiliation_strings":["Astrea Consulting srl\u2014R&D Department, Via F. Bruno, Petralia Soprana, 90026 Palermo, Italy"],"affiliations":[{"raw_affiliation_string":"Astrea Consulting srl\u2014R&D Department, Via F. Bruno, Petralia Soprana, 90026 Palermo, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077983394"],"corresponding_institution_ids":[],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.7693,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7321667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"3","first_page":"62","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9976999759674072,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T11059","display_name":"Market Dynamics and Volatility","score":0.9599999785423279,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.673989474773407},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.6019859313964844},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5177052021026611},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.4204064905643463},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3033197224140167},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11505556106567383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.673989474773407},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.6019859313964844},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5177052021026611},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.4204064905643463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3033197224140167},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11505556106567383},{"id":"https://openalex.org/C2780762169","wikidata":"https://www.wikidata.org/wiki/Q5905368","display_name":"Horse","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/computation11030062","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/computation11030062","pdf_url":"https://www.mdpi.com/2079-3197/11/3/62/pdf?version=1679304551","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c460cf6776b34cdc9a311be94632cc7f","is_oa":true,"landing_page_url":"https://doaj.org/article/c460cf6776b34cdc9a311be94632cc7f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computation, Vol 11, Iss 3, p 62 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2079-3197/11/3/62/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/computation11030062","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computation; Volume 11; Issue 3; Pages: 62","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/computation11030062","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/computation11030062","pdf_url":"https://www.mdpi.com/2079-3197/11/3/62/pdf?version=1679304551","source":{"id":"https://openalex.org/S2738402919","display_name":"Computation","issn_l":"2079-3197","issn":["2079-3197"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computation","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4699999988079071,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4327949734.pdf"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1631225020","https://openalex.org/W1821998143","https://openalex.org/W1935724338","https://openalex.org/W1969993946","https://openalex.org/W1971940412","https://openalex.org/W1973611112","https://openalex.org/W1974555435","https://openalex.org/W1979324613","https://openalex.org/W1982660193","https://openalex.org/W2015198215","https://openalex.org/W2015671938","https://openalex.org/W2016090261","https://openalex.org/W2034425090","https://openalex.org/W2039498733","https://openalex.org/W2072384822","https://openalex.org/W2077188668","https://openalex.org/W2078619121","https://openalex.org/W2085574158","https://openalex.org/W2090184979","https://openalex.org/W2099955848","https://openalex.org/W2141911718","https://openalex.org/W2200224234","https://openalex.org/W2463631526","https://openalex.org/W2565330852","https://openalex.org/W2584446302","https://openalex.org/W2602178251","https://openalex.org/W2625892114","https://openalex.org/W2727691135","https://openalex.org/W2741077351","https://openalex.org/W2768586927","https://openalex.org/W2798489385","https://openalex.org/W2798781811","https://openalex.org/W2808105365","https://openalex.org/W2890096158","https://openalex.org/W2891953272","https://openalex.org/W2893422709","https://openalex.org/W2899438351","https://openalex.org/W2911002311","https://openalex.org/W2938623898","https://openalex.org/W2951755742","https://openalex.org/W2954731415","https://openalex.org/W2963076818","https://openalex.org/W2963091558","https://openalex.org/W2963131120","https://openalex.org/W2964602549","https://openalex.org/W2980994438","https://openalex.org/W2981689412","https://openalex.org/W2992148407","https://openalex.org/W2994401994","https://openalex.org/W2998559444","https://openalex.org/W3000792678","https://openalex.org/W3094246578","https://openalex.org/W3107555375","https://openalex.org/W3120545528","https://openalex.org/W3128538204","https://openalex.org/W3176188707","https://openalex.org/W3183714396","https://openalex.org/W3207596659","https://openalex.org/W4205327994","https://openalex.org/W4243054761","https://openalex.org/W4285010307","https://openalex.org/W4291198806","https://openalex.org/W4308906386","https://openalex.org/W4313255495","https://openalex.org/W4317900619","https://openalex.org/W6638661740","https://openalex.org/W6687417387","https://openalex.org/W6739301739","https://openalex.org/W6764679822","https://openalex.org/W6766435293"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756"],"abstract_inverted_index":{"Research":[0],"and":[1,57,160,182,189],"development":[2],"efforts":[3],"in":[4,14,32,71,88,107,232,236],"the":[5,15,39,42,55,59,63,72,80,89,108,113,124,134,166,173,194,205,243,246,253,256],"field":[6,74],"of":[7,17,41,68,91,128,137,147,176,196,208,221,245,255,259],"commercial":[8,60,73,130,197],"applications":[9],"have":[10,38],"invested":[11],"strategic":[12],"interest":[13,70],"design":[16],"intelligent":[18,135],"systems":[19],"that":[20],"correctly":[21],"handle":[22],"out-of-stock":[23,26,64,99,237],"events.":[24,86,238],"An":[25,218],"event":[27],"refers":[28],"to":[29,46,54,58,171,203],"a":[30,103,116,129,148,157,161,177,209,233],"scenario":[31,49],"which":[33,101,230],"such":[34,260],"customers":[35],"do":[36],"not":[37],"availability":[40],"products":[43],"they":[44],"want":[45],"buy.":[47],"This":[48],"generates":[50],"important":[51],"economic":[52,81,105],"damage":[53],"producer":[56],"store.":[61],"Addressing":[62],"problem":[65],"is":[66],"currently":[67],"great":[69],"as":[75,141,143],"it":[76,95,199],"would":[77,96],"allow":[78],"limiting":[79],"damages":[82],"deriving":[83],"from":[84],"these":[85,111],"Furthermore,":[87],"era":[90],"online":[92],"commerce":[93],"(e-commerce),":[94],"significantly":[97],"limit":[98],"events":[100],"show":[102],"considerable":[104],"impact":[106],"field.":[109],"For":[110],"reasons,":[112],"authors":[114,167],"proposed":[115,247],"solution":[117],"based":[118,132],"on":[119,133,193],"deep":[120,150],"learning":[121],"for":[122],"predicting":[123],"residual":[125,206],"stock":[126,175,207,258],"amount":[127],"product":[131,211],"analysis":[136],"specific":[138],"visual\u2013commercial":[139],"data":[140,192],"well":[142],"seasonality.":[144],"By":[145,180],"means":[146],"combined":[149],"pipeline":[151],"embedding":[152],"convolutional":[153,164],"architecture":[154],"boosted":[155],"with":[156,249],"self-attention":[158],"mechanism":[159],"downstream":[162],"temporal":[163],"network,":[165],"will":[168,200],"be":[169,201],"able":[170],"predict":[172],"remaining":[174,222,257],"particular":[178],"commodity.":[179],"integrating":[181],"interpreting":[183],"climate/seasonal":[184],"information,":[185],"customers\u2019":[186],"behavior":[187],"data,":[188],"full":[190],"history":[191],"dynamics":[195],"sales,":[198],"possible":[202],"estimate":[204],"certain":[210],"and,":[212],"therefore,":[213],"define":[214],"purchase":[215],"orders":[216],"efficiently.":[217],"accurate":[219],"prediction":[220,254],"stocks":[223],"allows":[224],"an":[225,250],"efficient":[226],"trade":[227],"order":[228],"policy":[229],"results":[231,241],"significant":[234],"reduction":[235],"The":[239],"experimental":[240],"confirmed":[242],"effectiveness":[244],"approach":[248],"accuracy":[251],"(in":[252],"products)":[261],"greater":[262],"than":[263],"90%.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2023-03-21T00:00:00"}