{"id":"https://openalex.org/W7127903211","doi":"https://doi.org/10.1016/j.array.2026.100706","title":"Deep learning models for straddle carriers: Predictive maintenance","display_name":"Deep learning models for straddle carriers: Predictive maintenance","publication_year":2026,"publication_date":"2026-02-06","ids":{"openalex":"https://openalex.org/W7127903211","doi":"https://doi.org/10.1016/j.array.2026.100706"},"language":"en","primary_location":{"id":"doi:10.1016/j.array.2026.100706","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.array.2026.100706","pdf_url":null,"source":{"id":"https://openalex.org/S4210194039","display_name":"Array","issn_l":"2590-0056","issn":["2590-0056"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Array","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.array.2026.100706","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125209236","display_name":"Pooja Mudbhatkal","orcid":null},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Pooja Mudbhatkal","raw_affiliation_strings":["Faculty of Information Technology and Communication, Tampere University, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology and Communication, Tampere University, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125174604","display_name":"Martti Juhola","orcid":null},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Martti Juhola","raw_affiliation_strings":["Faculty of Information Technology and Communication, Tampere University, Finland"],"raw_orcid":"https://orcid.org/0000-0003-2298-9553","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology and Communication, Tampere University, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125229946","display_name":"Mikko Asikainen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166137","display_name":"Urho Kaleva Kekkonen Institute","ror":"https://ror.org/05ydecq02","country_code":"FI","type":"healthcare","lineage":["https://openalex.org/I4210166137"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Mikko Asikainen","raw_affiliation_strings":["Kalmar Oyj, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kalmar Oyj, Tampere, Finland","institution_ids":["https://openalex.org/I4210166137"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125221113","display_name":"SantoshKumar Patel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166137","display_name":"Urho Kaleva Kekkonen Institute","ror":"https://ror.org/05ydecq02","country_code":"FI","type":"healthcare","lineage":["https://openalex.org/I4210166137"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"SantoshKumar Patel","raw_affiliation_strings":["Kalmar Oyj, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kalmar Oyj, Tampere, Finland","institution_ids":["https://openalex.org/I4210166137"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5125174604"],"corresponding_institution_ids":["https://openalex.org/I166825849"],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23133143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":null,"first_page":"100706","last_page":"100706"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11223","display_name":"Maritime Ports and Logistics","score":0.391400009393692,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11223","display_name":"Maritime Ports and Logistics","score":0.391400009393692,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.09080000221729279,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.08049999922513962,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/straddle","display_name":"Straddle","score":0.887499988079071},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6507999897003174},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5735999941825867},{"id":"https://openalex.org/keywords/predictive-maintenance","display_name":"Predictive maintenance","score":0.5192000269889832},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5030999779701233},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.45179998874664307},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4196999967098236},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.41769999265670776}],"concepts":[{"id":"https://openalex.org/C2779117054","wikidata":"https://www.wikidata.org/wiki/Q1406345","display_name":"Straddle","level":2,"score":0.887499988079071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7498000264167786},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6507999897003174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6200000047683716},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5735999941825867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5356000065803528},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.5192000269889832},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5030999779701233},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.45179998874664307},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4196999967098236},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41769999265670776},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.35659998655319214},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3458999991416931},{"id":"https://openalex.org/C147494362","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Troubleshooting","level":2,"score":0.34299999475479126},{"id":"https://openalex.org/C180806031","wikidata":"https://www.wikidata.org/wiki/Q187934","display_name":"Monorail","level":2,"score":0.33480000495910645},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.3199999928474426},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C2781018962","wikidata":"https://www.wikidata.org/wiki/Q5164884","display_name":"Container (type theory)","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26820001006126404},{"id":"https://openalex.org/C23725684","wikidata":"https://www.wikidata.org/wiki/Q616377","display_name":"Maintenance engineering","level":2,"score":0.26019999384880066}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.array.2026.100706","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.array.2026.100706","pdf_url":null,"source":{"id":"https://openalex.org/S4210194039","display_name":"Array","issn_l":"2590-0056","issn":["2590-0056"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Array","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e94aefc6cb6f44378d326cfa67fdead2","is_oa":true,"landing_page_url":"https://doaj.org/article/e94aefc6cb6f44378d326cfa67fdead2","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":"Array, Vol 29, Iss , Pp 100706- (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.array.2026.100706","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.array.2026.100706","pdf_url":null,"source":{"id":"https://openalex.org/S4210194039","display_name":"Array","issn_l":"2590-0056","issn":["2590-0056"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Array","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4222612679004669,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2131774270","https://openalex.org/W2808548605","https://openalex.org/W2944364052","https://openalex.org/W2972137370","https://openalex.org/W2995109917","https://openalex.org/W2997603688","https://openalex.org/W3004042885","https://openalex.org/W3115103108","https://openalex.org/W3133235685","https://openalex.org/W4291366336","https://openalex.org/W4293258577","https://openalex.org/W4313398639","https://openalex.org/W4391319785","https://openalex.org/W4399722004","https://openalex.org/W4400421473","https://openalex.org/W4401818595","https://openalex.org/W4401891133"],"related_works":[],"abstract_inverted_index":{"The":[0,26,56,75,179],"secret":[1],"to":[2,32,50,102],"decreasing":[3],"downtime,":[4],"guaranteeing":[5],"smooth":[6],"operations,":[7],"and":[8,52,58,106,109,138,170,176,192],"raising":[9],"productivity":[10],"in":[11,124,207],"machine":[12],"maintenance":[13,24,159,201],"is":[14,61,68,185,197],"predictive":[15,18,128,158],"maintenance.":[16],"With":[17,88],"maintenance,":[19,129],"the":[20,37,65,72,95,125,136,141,150],"need":[21],"for":[22,157,182,199],"emergency":[23],"decreases.":[25],"goal":[27],"of":[28,71,94,119,127,135,140,152,160,166],"this":[29],"study":[30,114],"was":[31,77],"forecast":[33,111],"spreader":[34],"problems":[35],"with":[36,188],"straddle":[38,73,80,161],"carriers":[39],"that":[40,143],"Cargotec":[41],"(Kalmar)":[42],"uses.":[43],"Machines":[44],"called":[45],"\"straddle":[46],"carriers\"":[47],"are":[48,174],"used":[49,175],"pick":[51,57],"place":[53],"shipping":[54],"containers.":[55],"ground":[59],"action":[60],"carried":[62],"out":[63],"by":[64,204],"spreader,":[66],"which":[67],"a":[69,116,133],"part":[70],"carrier.":[74],"investigation":[76],"conducted":[78],"using":[79],"carrier":[81],"logs":[82],"from":[83],"their":[84],"on-board":[85],"automation":[86],"systems.":[87],"different":[89,120],"training":[90,193],"times,":[91],"all":[92],"four":[93],"advanced":[96,153],"deep":[97,121,154],"learning":[98,122,155],"models":[99,123,142],"were":[100,144],"able":[101],"minimize":[103],"false":[104,107],"positives":[105],"negatives":[108],"accurately":[110],"failures.":[112],"This":[113,147,196],"gives":[115],"thorough":[117],"overview":[118],"context":[126],"as":[130,132],"well":[131],"comprehension":[134],"advantages":[137],"disadvantages":[139],"employed.":[145],"\u2022":[146,163,178,195],"paper":[148],"discusses":[149],"use":[151],"algorithms":[156],"carriers.":[162],"Some":[164],"forms":[165],"recurrent":[167],"neural":[168,172],"networks":[169,173],"convolutional":[171],"compared.":[177],"data":[180],"preprocessing":[181],"sequence-based":[183],"modeling":[184],"described":[186],"along":[187],"hyper":[189],"parameter":[190],"tuning":[191],"times.":[194],"groundwork":[198],"improved":[200],"procedures":[202],"driven":[203],"data-driven":[205],"strategies":[206],"container":[208],"terminal":[209],"operations.":[210]},"counts_by_year":[],"updated_date":"2026-02-09T05:59:30.833894","created_date":"2026-02-07T00:00:00"}
