{"id":"https://openalex.org/W4412107059","doi":"https://doi.org/10.1109/access.2025.3586978","title":"MultiSenseNet: Multi-Modal Deep Learning for Machine Failure Risk Prediction","display_name":"MultiSenseNet: Multi-Modal Deep Learning for Machine Failure Risk Prediction","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412107059","doi":"https://doi.org/10.1109/access.2025.3586978"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3586978","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3586978","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3586978","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079302498","display_name":"Mostafijur Rahman","orcid":"https://orcid.org/0009-0003-1424-0996"},"institutions":[{"id":"https://openalex.org/I117942362","display_name":"Western Illinois University","ror":"https://ror.org/02sshz518","country_code":"US","type":"education","lineage":["https://openalex.org/I117942362"]},{"id":"https://openalex.org/I4210159476","display_name":"Science and Technology Corporation (United States)","ror":"https://ror.org/05pw5zy84","country_code":"US","type":"company","lineage":["https://openalex.org/I4210159476"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mostafijur Rahman","raw_affiliation_strings":["Master of Science In Information Technology (MSIT), Washington University of Science and Technology, Alexandria, VA, USA","Western Illinois University, Macomb, Illinois, USA"],"affiliations":[{"raw_affiliation_string":"Master of Science In Information Technology (MSIT), Washington University of Science and Technology, Alexandria, VA, USA","institution_ids":["https://openalex.org/I4210159476"]},{"raw_affiliation_string":"Western Illinois University, Macomb, Illinois, USA","institution_ids":["https://openalex.org/I117942362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642104","display_name":"Md. Sabbir Hossain","orcid":"https://orcid.org/0000-0003-1065-2056"},"institutions":[{"id":"https://openalex.org/I117942362","display_name":"Western Illinois University","ror":"https://ror.org/02sshz518","country_code":"US","type":"education","lineage":["https://openalex.org/I117942362"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Sabbir Hossain","raw_affiliation_strings":["Master’s in Computer Science, Western Illinois University, Macomb, IL, USA","Washington University of Science and Technology, Alexandria, VA, USA"],"affiliations":[{"raw_affiliation_string":"Master’s in Computer Science, Western Illinois University, Macomb, IL, USA","institution_ids":["https://openalex.org/I117942362"]},{"raw_affiliation_string":"Washington University of Science and Technology, Alexandria, VA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104852171","display_name":"Uland Rozario","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147955","display_name":"Bangladesh University of Business and Technology","ror":"https://ror.org/0400am365","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210147955"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Uland Rozario","raw_affiliation_strings":["Department of CSE, Bangladesh University of Business and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Bangladesh University of Business and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I4210147955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007067931","display_name":"Satyabrata Roy","orcid":"https://orcid.org/0000-0002-1856-5144"},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satyabrata Roy","raw_affiliation_strings":["Department of CSE, Manipal University Jaipur, Jaipur, Rajasthan, India","Department of CSE, Manipal University Jaipur, Rajasthan, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Manipal University Jaipur, Jaipur, Rajasthan, India","institution_ids":["https://openalex.org/I73779912"]},{"raw_affiliation_string":"Department of CSE, Manipal University Jaipur, Rajasthan, India","institution_ids":["https://openalex.org/I73779912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071208302","display_name":"M. F. Mridha","orcid":"https://orcid.org/0000-0001-5738-1631"},"institutions":[{"id":"https://openalex.org/I103434671","display_name":"American International University-Bangladesh","ror":"https://ror.org/02j8ga255","country_code":"BD","type":"education","lineage":["https://openalex.org/I103434671"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"M. F. Mridha","raw_affiliation_strings":["Department of CSE, American International University-Bangladesh, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Department of CSE, American International University-Bangladesh, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I103434671"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000975435","display_name":"Nilanjan Dey","orcid":"https://orcid.org/0000-0001-8437-498X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nilanjan Dey","raw_affiliation_strings":["Department of CSE, Techno International New Town, Kolkata, India","Department of CSE, Techno International New Town, New Town, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Techno International New Town, Kolkata, India","institution_ids":[]},{"raw_affiliation_string":"Department of CSE, Techno International New Town, New Town, Kolkata, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5079302498"],"corresponding_institution_ids":["https://openalex.org/I117942362","https://openalex.org/I4210159476"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":6.0791,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.96501754,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"13","issue":null,"first_page":"120404","last_page":"120416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.989300012588501,"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"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.989300012588501,"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"}},{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.961899995803833,"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/computer-science","display_name":"Computer science","score":0.7295470833778381},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6220643520355225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5159931182861328},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4632808566093445},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4530073404312134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7295470833778381},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6220643520355225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5159931182861328},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4632808566093445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4530073404312134},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3586978","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3586978","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b889859baf0b44848d757b5d27b2c0d8","is_oa":true,"landing_page_url":"https://doaj.org/article/b889859baf0b44848d757b5d27b2c0d8","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":"IEEE Access, Vol 13, Pp 120404-120416 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3586978","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3586978","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W3125387313","https://openalex.org/W3127692495","https://openalex.org/W3180450071","https://openalex.org/W3184344653","https://openalex.org/W3211522713","https://openalex.org/W4229058281","https://openalex.org/W4284881463","https://openalex.org/W4285186957","https://openalex.org/W4290711230","https://openalex.org/W4309077614","https://openalex.org/W4382402849","https://openalex.org/W4382934641","https://openalex.org/W4386097191","https://openalex.org/W4386389754","https://openalex.org/W4388259555","https://openalex.org/W4390246520","https://openalex.org/W4390806948","https://openalex.org/W4390885670","https://openalex.org/W4391103105","https://openalex.org/W4392137185","https://openalex.org/W4392266914","https://openalex.org/W4399709088","https://openalex.org/W4400102178","https://openalex.org/W4402738398"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W4387369504","https://openalex.org/W3082895349"],"abstract_inverted_index":{"Predictive":[0],"maintenance":[1],"plays":[2],"a":[3,28],"key":[4],"role":[5],"in":[6,109],"industrial":[7],"manufacturing":[8],"by":[9],"identifying":[10],"machine":[11,119],"failure":[12],"risks":[13],"early.":[14],"This":[15,25],"prevents":[16],"downtime":[17],"and":[18,66,88,103,113,122,144,155],"improves":[19],"efficiency,":[20],"contributing":[21],"towards":[22],"industry":[23],"innovation.":[24],"paper":[26],"presents":[27],"method":[29],"for":[30,48,56,62,71],"predicting":[31],"equipment":[32],"failures":[33],"using":[34],"multi-modal":[35],"sensor":[36],"data.":[37],"Their":[38],"approach":[39],"combines":[40],"advanced":[41],"techniques,":[42],"including":[43],"convolutional":[44],"neural":[45,68],"networks":[46,54,69],"(CNNs)":[47],"feature":[49,64],"extraction,":[50],"long":[51],"short-term":[52],"memory":[53],"(LSTMs)":[55],"temporal":[57],"patterns,":[58],"transformer-based":[59],"attention":[60],"mechanisms":[61],"critical":[63],"identification,":[65],"graph":[67],"(GNNs)":[70],"modeling":[72],"sensor-machine":[73],"relationships.":[74],"The":[75,127],"model":[76,128],"was":[77],"tested":[78],"on":[79,140,146],"two":[80],"real-world":[81],"datasets:":[82],"the":[83,89,141,147],"Machine":[84,90],"Failure":[85,91],"Classification":[86],"Dataset":[87],"Prediction":[92],"Dataset.":[93],"MultiSenseNet":[94],"outperformed":[95],"existing":[96],"benchmarks,":[97],"achieving":[98],"accuracy":[99,137],"rates":[100],"of":[101,138],"95.4%":[102],"95.2%,":[104],"respectively.":[105],"It":[106],"also":[107],"excelled":[108],"precision,":[110],"recall,":[111],"F1-score,":[112],"AUC":[114],"metrics":[115],"compared":[116],"to":[117],"traditional":[118],"learning":[120,125],"models":[121],"recent":[123],"deep":[124],"architectures.":[126],"performed":[129],"consistently":[130],"across":[131],"different":[132],"hyperparameter":[133],"settings,":[134],"reaching":[135],"peak":[136],"94.7%":[139],"classification":[142],"dataset":[143,149],"95.6%":[145],"prediction":[148],"after":[150],"40":[151],"training":[152],"epochs.":[153],"Training":[154],"validation":[156],"curves":[157],"showed":[158],"effective":[159],"convergence":[160],"with":[161],"minimal":[162],"overfitting.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}