{"id":"https://openalex.org/W4411726130","doi":"https://doi.org/10.1109/iscas56072.2025.11043605","title":"SSD Failure Prediction Model Based on Multimodal Data Fusion","display_name":"SSD Failure Prediction Model Based on Multimodal Data Fusion","publication_year":2025,"publication_date":"2025-05-25","ids":{"openalex":"https://openalex.org/W4411726130","doi":"https://doi.org/10.1109/iscas56072.2025.11043605"},"language":"en","primary_location":{"id":"doi:10.1109/iscas56072.2025.11043605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5015294773","display_name":"Guo Li","orcid":"https://orcid.org/0000-0002-5630-5079"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guo Li","raw_affiliation_strings":["Civil Aviation University of China,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Civil Aviation University of China,Tianjin,China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002112589","display_name":"Zijun Jing","orcid":null},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijun Jing","raw_affiliation_strings":["Civil Aviation University of China,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Civil Aviation University of China,Tianjin,China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100336845","display_name":"Jing Li","orcid":"https://orcid.org/0009-0002-1619-2863"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["Civil Aviation University of China,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Civil Aviation University of China,Tianjin,China","institution_ids":["https://openalex.org/I28813325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015294773"],"corresponding_institution_ids":["https://openalex.org/I28813325"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24791705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13999","display_name":"Digital Rights Management and Security","score":0.9401999711990356,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13999","display_name":"Digital Rights Management and Security","score":0.9401999711990356,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.6610708236694336},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5493977069854736},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5206815004348755},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.49708107113838196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44802531599998474},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3468378782272339},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08284524083137512}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6610708236694336},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5493977069854736},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5206815004348755},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.49708107113838196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44802531599998474},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3468378782272339},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08284524083137512},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas56072.2025.11043605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2099421762","https://openalex.org/W2530546662","https://openalex.org/W2967030268","https://openalex.org/W2185253430","https://openalex.org/W4210345652","https://openalex.org/W1984333081","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Active":[0],"failure":[1,27,104,155],"prediction":[2,87,128,156],"for":[3,9,25,153],"solid-state":[4],"drives":[5],"(SSDs)":[6],"is":[7,83,99],"crucial":[8],"enhancing":[10,118],"the":[11,30,44,56,76,103,119,127,134,146],"reliability":[12],"of":[13,32,46,58,121],"cloud":[14,158],"storage":[15,159],"systems.":[16],"This":[17],"paper":[18],"proposes":[19],"a":[20,80,93],"novel":[21],"multimodal":[22,81,108],"fusion":[23,113],"model":[24,135],"SSD":[26],"prediction,":[28],"addressing":[29],"limitations":[31],"existing":[33],"models":[34],"that":[35,133],"rely":[36],"solely":[37],"on":[38],"time-series":[39,47,78],"data.":[40,67,105],"Our":[41],"approach":[42],"introduces":[43],"transformation":[45],"data":[48,91],"from":[49],"SMART":[50],"logs":[51],"into":[52,65],"image":[53,71],"representations":[54],"and":[55,62,72,125,140],"conversion":[57],"basic":[59],"drive":[60],"information":[61],"key":[63],"features":[64,74],"textual":[66],"By":[68],"integrating":[69],"these":[70],"text":[73],"with":[75],"original":[77],"data,":[79],"framework":[82],"constructed":[84],"to":[85,101,114],"enhance":[86],"performance.":[88],"To":[89],"tackle":[90],"imbalance,":[92],"Conditional":[94],"Generative":[95],"Adversarial":[96],"Network":[97],"(CGAN)":[98],"employed":[100],"augment":[102],"The":[106],"proposed":[107],"neural":[109],"network":[110],"employs":[111],"attention-based":[112],"integrate":[115],"diverse":[116],"modalities,":[117],"extraction":[120],"critical":[122],"failure-related":[123],"insights":[124],"optimizing":[126],"process.":[129],"Experimental":[130],"results":[131],"show":[132],"achieves":[136],"higher":[137],"recall,":[138],"accuracy,":[139],"F1":[141],"score":[142],"while":[143],"effectively":[144],"reducing":[145],"false":[147],"positive":[148],"rate,":[149],"demonstrating":[150],"its":[151],"potential":[152],"reliable":[154],"in":[157],"environments.":[160]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
