{"id":"https://openalex.org/W4416800188","doi":"https://doi.org/10.1109/snpd65828.2025.11254848","title":"Integration of Machine Learning and Artificial Intelligence into IoT Systems for Intelligent Resource Management","display_name":"Integration of Machine Learning and Artificial Intelligence into IoT Systems for Intelligent Resource Management","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4416800188","doi":"https://doi.org/10.1109/snpd65828.2025.11254848"},"language":null,"primary_location":{"id":"doi:10.1109/snpd65828.2025.11254848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd65828.2025.11254848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACIS 29th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","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/A5064320315","display_name":"H. Alavi Majed","orcid":null},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Hana Majed","raw_affiliation_strings":["University of Sousse,Miracl Lab, ISITCom,Sousse,Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Sousse,Miracl Lab, ISITCom,Sousse,Tunisia","institution_ids":["https://openalex.org/I8636806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073467492","display_name":"Hela Zorgati","orcid":"https://orcid.org/0000-0002-4060-0970"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Hela Zorgati","raw_affiliation_strings":["ISIM University of Sfax,Sfax,Tunisia"],"affiliations":[{"raw_affiliation_string":"ISIM University of Sfax,Sfax,Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048832846","display_name":"Raoudha Ben Djemaa","orcid":"https://orcid.org/0000-0002-7831-112X"},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Raoudha Ben Djemaa","raw_affiliation_strings":["University of Sousse,Miracl Lab, ISITCom,Sousse,Tunisia"],"affiliations":[{"raw_affiliation_string":"University of Sousse,Miracl Lab, ISITCom,Sousse,Tunisia","institution_ids":["https://openalex.org/I8636806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064320315"],"corresponding_institution_ids":["https://openalex.org/I8636806"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41313237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"76","last_page":"81"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.1404999941587448,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.1404999941587448,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.06750000268220901,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.035999998450279236,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/internet-of-things","display_name":"Internet of Things","score":0.5347999930381775},{"id":"https://openalex.org/keywords/transformative-learning","display_name":"Transformative learning","score":0.5108000040054321},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4406999945640564},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4302999973297119},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.4131999909877777},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.34369999170303345},{"id":"https://openalex.org/keywords/intelligent-sensor","display_name":"Intelligent sensor","score":0.3427000045776367},{"id":"https://openalex.org/keywords/applications-of-artificial-intelligence","display_name":"Applications of artificial intelligence","score":0.34130001068115234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6664000153541565},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5347999930381775},{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.5108000040054321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48429998755455017},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4406999945640564},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4302999973297119},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.4131999909877777},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36230000853538513},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.34369999170303345},{"id":"https://openalex.org/C176563091","wikidata":"https://www.wikidata.org/wiki/Q669238","display_name":"Intelligent sensor","level":3,"score":0.3427000045776367},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3109999895095825},{"id":"https://openalex.org/C2777986313","wikidata":"https://www.wikidata.org/wiki/Q1661989","display_name":"Industry 4.0","level":2,"score":0.30720001459121704},{"id":"https://openalex.org/C56397880","wikidata":"https://www.wikidata.org/wiki/Q6044094","display_name":"Intelligent decision support system","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.2879999876022339},{"id":"https://openalex.org/C2777958785","wikidata":"https://www.wikidata.org/wiki/Q17120940","display_name":"Resource efficiency","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.2680000066757202},{"id":"https://openalex.org/C152223200","wikidata":"https://www.wikidata.org/wiki/Q3055471","display_name":"Smart environment","level":3,"score":0.25870001316070557},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C2780202397","wikidata":"https://www.wikidata.org/wiki/Q2294986","display_name":"Smart objects","level":3,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/snpd65828.2025.11254848","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd65828.2025.11254848","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACIS 29th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307785","display_name":"3M","ror":"https://ror.org/00mgss748"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2991147195","https://openalex.org/W3009902968","https://openalex.org/W3026359008","https://openalex.org/W3038895049","https://openalex.org/W3040400337","https://openalex.org/W3043381437","https://openalex.org/W3048576163","https://openalex.org/W4210312870","https://openalex.org/W4367042073","https://openalex.org/W4380075616","https://openalex.org/W4389981399","https://openalex.org/W4391682469","https://openalex.org/W4392352951","https://openalex.org/W4392397351","https://openalex.org/W4392716258","https://openalex.org/W4399850328","https://openalex.org/W4407066581","https://openalex.org/W4407194305","https://openalex.org/W4408184759","https://openalex.org/W4408363147","https://openalex.org/W4409963994"],"related_works":[],"abstract_inverted_index":{"The":[0],"Internet":[1],"of":[2,27,134],"Things":[3],"(IoT)":[4],"is":[5,30,56,181],"revolutionizing":[6],"how":[7],"we":[8,129],"interact":[9],"with":[10],"our":[11],"environment":[12],"by":[13],"integrating":[14,90],"sensors":[15],"and":[16,36,43,68,83,94,106,122,145,167,194,216,224,233],"smart":[17,190],"devices":[18],"to":[19,40,103,174,205,227],"enable":[20],"real-time":[21,113,135],"data":[22,39,61],"collection.":[23],"A":[24],"critical":[25,182],"aspect":[26],"this":[28,127],"technology":[29],"situation":[31,77,114,136],"detection,":[32,115],"which":[33],"involves":[34],"capturing":[35],"analyzing":[37],"sensor":[38],"understand":[41],"conditions":[42],"events":[44],"in":[45,58,138,201],"real":[46],"time,":[47],"providing":[48],"actionable":[49],"insights":[50],"for":[51,152,183,220],"informed":[52],"decision-making.":[53],"This":[54,179],"capability":[55,180],"pivotal":[57],"transforming":[59],"raw":[60],"into":[62],"valuable":[63],"knowledge,":[64],"enabling":[65],"efficient":[66],"monitoring":[67],"resource":[69,209],"management.":[70],"To":[71],"enhance":[72],"IoT":[73,116,158],"system":[74],"performance,":[75],"advanced":[76],"detection":[78,99,137,202],"algorithms,":[79],"seamless":[80],"device":[81],"communication,":[82],"rapid":[84],"response":[85],"mechanisms":[86],"are":[87],"essential.":[88],"Furthermore,":[89],"artificial":[91,146],"intelligence":[92,147],"(AI)":[93,148],"machine":[95,142],"learning":[96,143],"(ML)":[97,144],"strengthens":[98],"capabilities,":[100],"allowing":[101],"systems":[102,159],"continuously":[104],"adapt":[105],"learn.":[107],"By":[108,155],"optimizing":[109],"resources":[110],"through":[111],"accurate,":[112],"improves":[117],"operational":[118],"efficiency,":[119],"reduces":[120],"costs,":[121],"minimizes":[123],"environmental":[124,175],"impacts.":[125],"In":[126],"paper,":[128],"highlight":[130],"the":[131],"transformative":[132],"role":[133],"IoT-enabled":[139],"services,":[140],"where":[141,197],"serve":[149],"as":[150,189],"cornerstones":[151],"intelligent":[153],"automation.":[154],"leveraging":[156],"AI/ML,":[157],"can":[160,203],"not":[161],"only":[162],"detect":[163],"but":[164],"also":[165],"predict":[166],"contextualize":[168],"complex":[169],"events\u2014from":[170],"industrial":[171],"equipment":[172],"failures":[173],"hazards\u2014enabling":[176],"proactive":[177],"interventions.":[178],"applications":[184],"demanding":[185],"high":[186],"reliability,":[187],"such":[188],"cities,":[191],"healthcare":[192],"monitoring,":[193],"precision":[195],"agriculture,":[196],"delays":[198],"or":[199,208],"inaccuracies":[200],"lead":[204],"significant":[206],"risks":[207],"waste.":[210],"We":[211],"further":[212],"outline":[213],"emerging":[214],"challenges":[215],"future":[217],"directions,":[218],"advocating":[219],"explainable":[221],"AI":[222],"(XAI)":[223],"energy-efficient":[225],"algorithms":[226],"bridge":[228],"gaps":[229],"between":[230],"theoretical":[231],"advances":[232],"real-world":[234],"deployment.":[235]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-28T00:00:00"}