{"id":"https://openalex.org/W4292259733","doi":"https://doi.org/10.1007/s10586-022-03659-3","title":"When explainable AI meets IoT applications for supervised learning","display_name":"When explainable AI meets IoT applications for supervised learning","publication_year":2022,"publication_date":"2022-08-17","ids":{"openalex":"https://openalex.org/W4292259733","doi":"https://doi.org/10.1007/s10586-022-03659-3"},"language":"en","primary_location":{"id":"doi:10.1007/s10586-022-03659-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-022-03659-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10586-022-03659-3.pdf","source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10586-022-03659-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057697626","display_name":"Youcef Djenouri","orcid":"https://orcid.org/0000-0003-0135-7450"},"institutions":[{"id":"https://openalex.org/I173888879","display_name":"SINTEF","ror":"https://ror.org/01f677e56","country_code":"NO","type":"facility","lineage":["https://openalex.org/I173888879"]},{"id":"https://openalex.org/I4387930215","display_name":"SINTEF Digital","ror":"https://ror.org/028m52w57","country_code":null,"type":"facility","lineage":["https://openalex.org/I173888879","https://openalex.org/I4387930215"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Youcef Djenouri","raw_affiliation_strings":["SINTEF Digital, Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SINTEF Digital, Oslo, Norway","institution_ids":["https://openalex.org/I173888879","https://openalex.org/I4387930215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030823020","display_name":"Asma Belhadi","orcid":"https://orcid.org/0000-0002-7103-2179"},"institutions":[{"id":"https://openalex.org/I2800207870","display_name":"H\u00f8yskolen Kristiania","ror":"https://ror.org/03gss5916","country_code":"NO","type":"education","lineage":["https://openalex.org/I2800207870"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Asma Belhadi","raw_affiliation_strings":["Kristiania University College, Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kristiania University College, Oslo, Norway","institution_ids":["https://openalex.org/I2800207870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041541232","display_name":"Gautam Srivastava","orcid":"https://orcid.org/0000-0001-9851-4103"},"institutions":[{"id":"https://openalex.org/I184693016","display_name":"China Medical University","ror":"https://ror.org/00v408z34","country_code":"TW","type":"education","lineage":["https://openalex.org/I184693016"]},{"id":"https://openalex.org/I48890080","display_name":"Brandon University","ror":"https://ror.org/02qp25a50","country_code":"CA","type":"education","lineage":["https://openalex.org/I48890080"]}],"countries":["CA","TW"],"is_corresponding":false,"raw_author_name":"Gautam Srivastava","raw_affiliation_strings":["Brandon University, Brandon, Canada","China Medical University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brandon University, Brandon, Canada","institution_ids":["https://openalex.org/I48890080"]},{"raw_affiliation_string":"China Medical University, Taichung, Taiwan","institution_ids":["https://openalex.org/I184693016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000640263","display_name":"Jerry Chun\u2010Wei Lin","orcid":"https://orcid.org/0000-0001-8768-9709"},"institutions":[{"id":"https://openalex.org/I179863766","display_name":"Western Norway University of Applied Sciences","ror":"https://ror.org/05phns765","country_code":"NO","type":"education","lineage":["https://openalex.org/I179863766"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Jerry Chun-Wei Lin","raw_affiliation_strings":["Western Norway University of Applied Sciences, Bergen, Norway"],"raw_orcid":"https://orcid.org/0000-0001-8768-9709","affiliations":[{"raw_affiliation_string":"Western Norway University of Applied Sciences, Bergen, Norway","institution_ids":["https://openalex.org/I179863766"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000640263"],"corresponding_institution_ids":["https://openalex.org/I179863766"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":11.609,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.98713983,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"26","issue":"4","first_page":"2313","last_page":"2323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.996999979019165,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9140032529830933},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.820826530456543},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6695408225059509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6636949181556702},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6181806921958923},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5446162223815918},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5375774502754211},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5179671049118042},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5056319236755371},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5023767948150635},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3373154401779175},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13512974977493286},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.10489615797996521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9140032529830933},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.820826530456543},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6695408225059509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6636949181556702},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6181806921958923},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5446162223815918},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5375774502754211},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5179671049118042},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5056319236755371},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5023767948150635},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3373154401779175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13512974977493286},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.10489615797996521},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10586-022-03659-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-022-03659-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10586-022-03659-3.pdf","source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},{"id":"pmh:oai:kristiania.brage.unit.no:11250/3053391","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/3053391","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"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":"Cluster Computing","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:sintef.brage.unit.no:11250/3027588","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/3027588","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"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":"11","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10586-022-03659-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10586-022-03659-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10586-022-03659-3.pdf","source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320317045","display_name":"H\u00f8gskulen p\u00e5 Vestlandet","ror":"https://ror.org/05phns765"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4292259733.pdf","grobid_xml":"https://content.openalex.org/works/W4292259733.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W2062978452","https://openalex.org/W2745794747","https://openalex.org/W2772434162","https://openalex.org/W2799758613","https://openalex.org/W2803380720","https://openalex.org/W2904996768","https://openalex.org/W2909745252","https://openalex.org/W2911505293","https://openalex.org/W2965271442","https://openalex.org/W2974559344","https://openalex.org/W2991979976","https://openalex.org/W3000651374","https://openalex.org/W3021026170","https://openalex.org/W3025986213","https://openalex.org/W3035279057","https://openalex.org/W3058237431","https://openalex.org/W3085955590","https://openalex.org/W3092439297","https://openalex.org/W3094549462","https://openalex.org/W3096005429","https://openalex.org/W3104788983","https://openalex.org/W3118004424","https://openalex.org/W3118649749","https://openalex.org/W3119286118","https://openalex.org/W3119689986","https://openalex.org/W3120338070","https://openalex.org/W3121022046","https://openalex.org/W3122864121","https://openalex.org/W3125569183","https://openalex.org/W3141567114","https://openalex.org/W3144635834","https://openalex.org/W3147161653","https://openalex.org/W3157990341","https://openalex.org/W3163036931","https://openalex.org/W3179240416","https://openalex.org/W3185806283","https://openalex.org/W3186197713","https://openalex.org/W3192032012","https://openalex.org/W3192414357","https://openalex.org/W3195666380","https://openalex.org/W4210428405"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4200136508","https://openalex.org/W2499527417"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"introduces":[3],"a":[4,78],"novel":[5],"and":[6,24,55,72,134],"complete":[7],"framework":[8],"for":[9],"solving":[10],"different":[11,32,66,75],"Internet":[12],"of":[13,64,77,92,96,107,120,131],"Things":[14],"(IoT)":[15],"applications,":[16],"which":[17],"explores":[18],"eXplainable":[19],"AI":[20],"(XAI),":[21],"deep":[22,79],"learning,":[23],"evolutionary":[25],"computation.":[26],"The":[27,46],"IoT":[28,97,114],"data":[29],"coming":[30],"from":[31],"sensors":[33],"is":[34],"first":[35],"converted":[36],"into":[37],"an":[38],"image":[39],"database":[40],"using":[41,50],"the":[42,62,65,70,74,84,93,105,118,121,126],"Gamian":[43],"angular":[44],"field.":[45],"images":[47],"are":[48,58],"trained":[49],"VGG16,":[51],"where":[52],"XAI":[53],"technology":[54],"hyper-parameter":[56],"optimization":[57],"introduced.":[59],"Thus,":[60],"analyzing":[61],"impact":[63],"input":[67],"values":[68],"in":[69,83,129],"output":[71],"understanding":[73],"weights":[76],"learning":[80,85],"model":[81,110],"used":[82],"process":[86,95],"helps":[87],"us":[88],"to":[89,103,125],"increase":[90],"interpretation":[91],"overall":[94],"systems.":[98],"Extensive":[99],"testing":[100],"was":[101],"conducted":[102],"demonstrate":[104],"performance":[106],"our":[108],"developed":[109],"on":[111],"two":[112],"separate":[113],"datasets.":[115],"Results":[116],"show":[117],"efficiency":[119],"proposed":[122],"approach":[123],"compared":[124],"baseline":[127],"approaches":[128],"terms":[130],"both":[132],"runtime":[133],"accuracy.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3}],"updated_date":"2026-08-30T07:30:35.949966","created_date":"2025-10-10T00:00:00"}