{"id":"https://openalex.org/W7124179041","doi":"https://doi.org/10.1109/icpads67057.2025.11322916","title":"ISMF-Net: An Integrated Multi-Modal, Multi-Task Framework for Intelligent Monitoring of Wet Slag Removal Systems","display_name":"ISMF-Net: An Integrated Multi-Modal, Multi-Task Framework for Intelligent Monitoring of Wet Slag Removal Systems","publication_year":2025,"publication_date":"2025-12-14","ids":{"openalex":"https://openalex.org/W7124179041","doi":"https://doi.org/10.1109/icpads67057.2025.11322916"},"language":null,"primary_location":{"id":"doi:10.1109/icpads67057.2025.11322916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11322916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","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/A5122999223","display_name":"Hong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101931","display_name":"HBIS (China)","ror":"https://ror.org/00zjpfj13","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210101931"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Wang","raw_affiliation_strings":["Hanfeng Power Plant of Hebei Branch China Huaneng Group Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanfeng Power Plant of Hebei Branch China Huaneng Group Co., Ltd","institution_ids":["https://openalex.org/I4210101931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123025700","display_name":"Xinghui Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101931","display_name":"HBIS (China)","ror":"https://ror.org/00zjpfj13","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210101931"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghui Liu","raw_affiliation_strings":["Hanfeng Power Plant of Hebei Branch China Huaneng Group Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanfeng Power Plant of Hebei Branch China Huaneng Group Co., Ltd","institution_ids":["https://openalex.org/I4210101931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123033962","display_name":"Canghai Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101931","display_name":"HBIS (China)","ror":"https://ror.org/00zjpfj13","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210101931"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Canghai Zhu","raw_affiliation_strings":["Hanfeng Power Plant of Hebei Branch China Huaneng Group Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanfeng Power Plant of Hebei Branch China Huaneng Group Co., Ltd","institution_ids":["https://openalex.org/I4210101931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123051570","display_name":"Zhaokuo Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101931","display_name":"HBIS (China)","ror":"https://ror.org/00zjpfj13","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210101931"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaokuo Li","raw_affiliation_strings":["Hanfeng Power Plant of Hebei Branch China Huaneng Group Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanfeng Power Plant of Hebei Branch China Huaneng Group Co., Ltd","institution_ids":["https://openalex.org/I4210101931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000989884","display_name":"Qingpeng Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101931","display_name":"HBIS (China)","ror":"https://ror.org/00zjpfj13","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210101931"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingpeng Meng","raw_affiliation_strings":["Hanfeng Power Plant of Hebei Branch China Huaneng Group Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanfeng Power Plant of Hebei Branch China Huaneng Group Co., Ltd","institution_ids":["https://openalex.org/I4210101931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123045534","display_name":"Xiaowen Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I1318643470","display_name":"Union Hospital","ror":"https://ror.org/01j7r2734","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I1318643470"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowen Sun","raw_affiliation_strings":["Shenzhen Heils Union Tech. Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Heils Union Tech. Co., Ltd","institution_ids":["https://openalex.org/I1318643470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5122999223"],"corresponding_institution_ids":["https://openalex.org/I4210101931"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.64164265,"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":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.1712999939918518,"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":0.1712999939918518,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.09669999778270721,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.027000000700354576,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/slag","display_name":"Slag (welding)","score":0.6600000262260437},{"id":"https://openalex.org/keywords/boiler","display_name":"Boiler (water heating)","score":0.5077000260353088},{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"Condition monitoring","score":0.3698999881744385},{"id":"https://openalex.org/keywords/thermal-power-station","display_name":"Thermal power station","score":0.367000013589859},{"id":"https://openalex.org/keywords/thermal","display_name":"Thermal","score":0.2971000075340271},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.29649999737739563}],"concepts":[{"id":"https://openalex.org/C159048435","wikidata":"https://www.wikidata.org/wiki/Q17105783","display_name":"Slag (welding)","level":2,"score":0.6600000262260437},{"id":"https://openalex.org/C2780013297","wikidata":"https://www.wikidata.org/wiki/Q19596153","display_name":"Boiler (water heating)","level":2,"score":0.5077000260353088},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4950999915599823},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.438400000333786},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.37540000677108765},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.3734999895095825},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.3698999881744385},{"id":"https://openalex.org/C2039551","wikidata":"https://www.wikidata.org/wiki/Q200297","display_name":"Thermal power station","level":2,"score":0.367000013589859},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C164767435","wikidata":"https://www.wikidata.org/wiki/Q28823","display_name":"Textile","level":2,"score":0.26919999718666077},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26080000400543213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpads67057.2025.11322916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11322916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4641650915145874,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1990592195","https://openalex.org/W2748021867","https://openalex.org/W2779176852","https://openalex.org/W2963677766","https://openalex.org/W3014378588","https://openalex.org/W3034543232","https://openalex.org/W3138516171","https://openalex.org/W4391348181","https://openalex.org/W4413619406"],"related_works":[],"abstract_inverted_index":{"The":[0],"wet":[1],"slag":[2,31,91,97],"removal":[3],"system":[4],"in":[5],"thermal":[6,73,77],"power":[7],"plants":[8],"is":[9],"critical":[10],"for":[11,63,141],"boiler":[12],"operation":[13],"but":[14],"suffers":[15],"from":[16],"severe":[17],"monitoring":[18,106],"challenges.":[19,147],"High-temperature":[20],"steam":[21,81],"obstructs":[22],"visiblelight":[23],"cameras,":[24],"making":[25],"it":[26],"difficult":[27],"to":[28,79],"detect":[29],"large":[30,96],"chunks":[32],"that":[33,56,131],"can":[34],"cause":[35],"costly":[36],"conveyor":[37],"blockages":[38],"and":[39,60,72,102,117],"unplanned":[40],"downtime.":[41],"To":[42],"address":[43],"this,":[44],"we":[45],"propose":[46],"ISMF-Net":[47,68,132],"(Intelligent":[48],"Slag":[49],"Monitoring":[50],"Framework":[51],"Network),":[52],"an":[53],"integrated":[54],"framework":[55],"leverages":[57],"multi-modal":[58],"sensing":[59],"multi-task":[61],"learning":[62],"robust,":[64],"realtime":[65],"automated":[66],"monitoring.":[67],"fuses":[69],"visible":[70],"(RGB)":[71],"(T)":[74],"imaging,":[75],"using":[76],"data":[78],"penetrate":[80],"while":[82],"retaining":[83],"RGB":[84],"details.":[85],"An":[86],"end-to-end":[87],"network":[88],"simultaneously":[89],"performs":[90],"volume":[92],"estimation":[93],"(semantic":[94],"segmentation),":[95],"blockage":[98],"warning":[99],"(object":[100],"detection),":[101],"scraper":[103],"plate":[104],"status":[105],"(regression).":[107],"Key":[108],"innovations":[109],"include":[110],"a":[111,118],"Real-time":[112],"Steam":[113],"Denoising":[114],"Module":[115],"(RSDM)":[116],"Context-Aware":[119],"Crossmodal":[120],"Fusion":[121],"(CACF)":[122],"module.":[123],"Experiments":[124],"on":[125],"our":[126],"new":[127],"multimodal":[128],"dataset":[129],"show":[130],"significantly":[133],"outperforms":[134],"baseline":[135],"methods,":[136],"demonstrating":[137],"its":[138],"high":[139],"value":[140],"industrial":[142],"applications":[143],"facing":[144],"similar":[145],"visual":[146]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-01-15T00:00:00"}