{"id":"https://openalex.org/W7203764065","doi":"https://doi.org/10.1051/e3sconf/202673502008","title":"An AI-Driven Approach to Efficient Sensing and Autonomous Decision-Making with Adaptive Learning in Large-Scale Environments","display_name":"An AI-Driven Approach to Efficient Sensing and Autonomous Decision-Making with Adaptive Learning in Large-Scale Environments","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7203764065","doi":"https://doi.org/10.1051/e3sconf/202673502008"},"language":"en","primary_location":{"id":"doi:10.1051/e3sconf/202673502008","doi":"https://doi.org/10.1051/e3sconf/202673502008","is_oa":true,"landing_page_url":"https://doi.org/10.1051/e3sconf/202673502008","pdf_url":"https://www.e3s-conferences.org/articles/e3sconf/pdf/2026/53/e3sconf_ai-scities2026_02008.pdf","source":{"id":"https://openalex.org/S4210186093","display_name":"E3S Web of Conferences","issn_l":"2267-1242","issn":["2267-1242","2555-0403"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["ddh","doaj","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"E3S Web of Conferences","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.e3s-conferences.org/articles/e3sconf/pdf/2026/53/e3sconf_ai-scities2026_02008.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140667553","display_name":"Friday Oodee Philip-Kpae","orcid":"https://orcid.org/0009-0005-6663-7906","observed_orcids":["https://orcid.org/0009-0005-6663-7906"]},"institutions":[{"id":"https://openalex.org/I96576516","display_name":"Rivers State University","ror":"https://ror.org/01kr7aq59","country_code":"NG","type":"education","lineage":["https://openalex.org/I96576516"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Friday Oodee Philip-Kpae","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Faculty of Engineering, Rivers State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Faculty of Engineering, Rivers State University","institution_ids":["https://openalex.org/I96576516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026263106","display_name":"Agbotiname Lucky Imoize","orcid":"https://orcid.org/0000-0001-8921-8353","observed_orcids":["https://orcid.org/0000-0001-8921-8353"]},"institutions":[{"id":"https://openalex.org/I197610006","display_name":"University of Lagos","ror":"https://ror.org/05rk03822","country_code":"NG","type":"education","lineage":["https://openalex.org/I197610006"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Agbotiname Lucky Imoize","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Faculty of Engineering, University of Lagos"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Faculty of Engineering, University of Lagos","institution_ids":["https://openalex.org/I197610006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116166429","display_name":"Lloyd Endurance Ogbondamati","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I96576516","display_name":"Rivers State University","ror":"https://ror.org/01kr7aq59","country_code":"NG","type":"education","lineage":["https://openalex.org/I96576516"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Lloyd Endurance Ogbondamati","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Faculty of Engineering, Rivers State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Faculty of Engineering, Rivers State University","institution_ids":["https://openalex.org/I96576516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077937102","display_name":"Kennedy Chinedu Okafor","orcid":"https://orcid.org/0000-0002-9243-6789","observed_orcids":["https://orcid.org/0000-0002-9243-6789"]},"institutions":[{"id":"https://openalex.org/I104658917","display_name":"University of Chichester","ror":"https://ror.org/029tw2407","country_code":"GB","type":"education","lineage":["https://openalex.org/I104658917"]},{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]},{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]},{"id":"https://openalex.org/I4405260661","display_name":"Federal University of Allied Health Sciences, Enugu","ror":"https://ror.org/043gg8967","country_code":"NG","type":"education","lineage":["https://openalex.org/I4405260661"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB","NG","ZA"],"is_corresponding":false,"raw_author_name":"Kennedy Chinedu Okafor","raw_affiliation_strings":["Department of Electrical and Electronic Engineering Science, University of Johannesburg","Department of Engineering (Faculty of Science and Engineering), Manchester Metropolitan University \u2013 Dalton Building","Federal University of Allied Health Sciences, Enugu \u2013 Dental Avenue, Trans-Ekulu,","Imperial College Business School \u2013 South Kensington Campus, Imperial College London","School of Engineering, University of Chichester"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering Science, University of Johannesburg","institution_ids":["https://openalex.org/I24027795"]},{"raw_affiliation_string":"Department of Engineering (Faculty of Science and Engineering), Manchester Metropolitan University \u2013 Dalton Building","institution_ids":["https://openalex.org/I11983389"]},{"raw_affiliation_string":"Federal University of Allied Health Sciences, Enugu \u2013 Dental Avenue, Trans-Ekulu,","institution_ids":["https://openalex.org/I4405260661"]},{"raw_affiliation_string":"Imperial College Business School \u2013 South Kensington Campus, Imperial College London","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"School of Engineering, University of Chichester","institution_ids":["https://openalex.org/I104658917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011425554","display_name":"Kelvin Anoh","orcid":"https://orcid.org/0000-0002-2538-6945","observed_orcids":["https://orcid.org/0000-0002-2538-6945"]},"institutions":[{"id":"https://openalex.org/I104658917","display_name":"University of Chichester","ror":"https://ror.org/029tw2407","country_code":"GB","type":"education","lineage":["https://openalex.org/I104658917"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kelvin Anoh","raw_affiliation_strings":["School of Engineering, University of Chichester"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, University of Chichester","institution_ids":["https://openalex.org/I104658917"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"735","issue":null,"first_page":"02008","last_page":"02008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.392300009727478,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.392300009727478,"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/T10616","display_name":"Smart Agriculture and AI","score":0.07400000095367432,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.07320000231266022,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/sensor-fusion","display_name":"sensor fusion","score":0.9039999842643738},{"id":"https://openalex.org/keywords/weighted-fusion","display_name":"weighted fusion","score":0.6740000247955322},{"id":"https://openalex.org/keywords/adaptive-learning","display_name":"adaptive learning","score":0.9760000109672546},{"id":"https://openalex.org/keywords/dynamic-learning-rate","display_name":"dynamic learning rate","score":0.7680000066757202},{"id":"https://openalex.org/keywords/utility-based-decision-making","display_name":"utility-based decision making","score":0.9629999995231628},{"id":"https://openalex.org/keywords/autonomous-decision-making","display_name":"autonomous decision-making","score":0.972000002861023},{"id":"https://openalex.org/keywords/sensor-coverage","display_name":"sensor coverage","score":0.6679999828338623},{"id":"https://openalex.org/keywords/sensor-noise","display_name":"sensor noise","score":0.7739999890327454},{"id":"https://openalex.org/keywords/large-scale-environments","display_name":"large-scale environments","score":0.906000018119812},{"id":"https://openalex.org/keywords/heterogeneous-sensors","display_name":"heterogeneous sensors","score":0.6629999876022339}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7055000066757202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6929000020027161},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6725000143051147},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4738999903202057},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.43380001187324524},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4237000048160553},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.367900013923645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3601999878883362},{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.3481000065803528},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32190001010894775},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.31940001249313354},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.31540000438690186},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29899999499320984},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.28529998660087585},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1051/e3sconf/202673502008","doi":"https://doi.org/10.1051/e3sconf/202673502008","is_oa":true,"landing_page_url":"https://doi.org/10.1051/e3sconf/202673502008","pdf_url":"https://www.e3s-conferences.org/articles/e3sconf/pdf/2026/53/e3sconf_ai-scities2026_02008.pdf","source":{"id":"https://openalex.org/S4210186093","display_name":"E3S Web of Conferences","issn_l":"2267-1242","issn":["2267-1242","2555-0403"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["ddh","doaj","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"E3S Web of Conferences","raw_type":"journal-article"},{"id":"pmh:oai:edpsciences.org:dkey/10.1051/e3sconf/202673502008","doi":null,"is_oa":false,"landing_page_url":"https://www.e3s-conferences.org/10.1051/e3sconf/202673502008/pdf","pdf_url":"https://www.e3s-conferences.org/10.1051/e3sconf/202673502008/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/e3sconf/202673502008","raw_type":"Text"},{"id":"pmh:oai:eprints.chi.ac.uk:8730","doi":null,"is_oa":true,"landing_page_url":"https://eprints.chi.ac.uk/id/eprint/8730/1/e3sconf_ai-scities2026_02008.pdf","pdf_url":"https://eprints.chi.ac.uk/id/eprint/8730/1/e3sconf_ai-scities2026_02008.pdf","source":{"id":"https://openalex.org/S4306401698","display_name":"ChiPrints (University of Chichester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I104658917","host_organization_name":"University of Chichester","host_organization_lineage":["https://openalex.org/I104658917"],"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":null,"raw_type":"Conference or Workshop Items"},{"id":"pmh:oai:doaj.org/article:20e841818e1e4055924d19ca531cb869","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/20e841818e1e4055924d19ca531cb869","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"E3S Web of Conferences, Vol 735, p 02008 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1051/e3sconf/202673502008","doi":"https://doi.org/10.1051/e3sconf/202673502008","is_oa":true,"landing_page_url":"https://doi.org/10.1051/e3sconf/202673502008","pdf_url":"https://www.e3s-conferences.org/articles/e3sconf/pdf/2026/53/e3sconf_ai-scities2026_02008.pdf","source":{"id":"https://openalex.org/S4210186093","display_name":"E3S Web of Conferences","issn_l":"2267-1242","issn":["2267-1242","2555-0403"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["ddh","doaj","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"E3S Web of Conferences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7203764065.pdf","grobid_xml":"https://content.openalex.org/works/W7203764065.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2907916537","https://openalex.org/W3129933761","https://openalex.org/W3173581352","https://openalex.org/W3190038566","https://openalex.org/W4285818829","https://openalex.org/W4362654791","https://openalex.org/W4381186551","https://openalex.org/W4385151905","https://openalex.org/W4386102979","https://openalex.org/W4393906058"],"related_works":["https://openalex.org/W7171562888","https://openalex.org/W4403060667","https://openalex.org/W4416286917","https://openalex.org/W7201973085","https://openalex.org/W7043800814","https://openalex.org/W4406462001","https://openalex.org/W4413947135","https://openalex.org/W7140024881","https://openalex.org/W7162255573","https://openalex.org/W4393139955"],"abstract_inverted_index":{"Efficient":[0],"sensing":[1,134],"and":[2,16,38,57,78,97,112,126,133,150,172,176],"autonomous":[3,85],"decision-making":[4,40,86,132],"in":[5,108,139,168],"large-scale":[6,170],"environments":[7],"face":[8],"challenges":[9],"such":[10],"as":[11],"sensor":[12,49,109],"noise,":[13],"limited":[14],"coverage,":[15],"dynamic":[17,141],"environmental":[18,60],"changes,":[19],"often":[20],"leading":[21],"to":[22,41,129],"suboptimal":[23],"responses.":[24],"This":[25,120],"study":[26,145],"proposes":[27],"an":[28],"AI-driven":[29],"framework":[30,46],"that":[31],"integrates":[32],"multi-sensor":[33],"data":[34,50],"fusion,":[35,53],"adaptive":[36],"learning,":[37],"utility-based":[39],"address":[42,173],"these":[43],"issues.":[44],"The":[45,84,103],"combines":[47],"heterogeneous":[48],"using":[51],"weighted":[52],"improving":[54],"the":[55,68,123,144,151,165],"accuracy":[56],"reliability":[58],"of":[59],"state":[61],"estimation.":[62],"Adaptive":[63],"learning":[64,69],"mechanisms":[65],"dynamically":[66],"adjust":[67],"rate,":[70],"optimizing":[71],"system":[72,104],"performance":[73,167],"by":[74],"reducing":[75],"prediction":[76],"errors":[77],"refining":[79],"model":[80],"parameters":[81],"over":[82],"time.":[83],"module":[87],"selects":[88],"optimal":[89,131],"actions":[90],"based":[91,147],"on":[92,148],"utility":[93],"functions,":[94],"ensuring":[95],"timely":[96],"accurate":[98],"decisions":[99],"without":[100],"human":[101],"intervention.":[102],"demonstrates":[105],"significant":[106],"improvements":[107],"coverage":[110],"efficiency":[111],"overall":[113],"performance,":[114],"effectively":[115],"handling":[116],"complex,":[117],"data-intensive":[118],"environments.":[119],"work":[121,162],"highlights":[122],"framework's":[124,166],"robustness":[125],"its":[127,137],"capacity":[128],"deliver":[130],"capabilities,":[135],"validating":[136],"applicability":[138],"real-world,":[140],"scenarios.":[142],"However,":[143],"is":[146],"simulation,":[149],"results":[152],"may":[153],"not":[154],"fully":[155],"reflect":[156],"real-world":[157],"complexities":[158],"or":[159],"limitations.":[160],"Future":[161],"should":[163],"evaluate":[164],"practical,":[169],"deployments":[171],"potential":[174],"scalability":[175],"real-time":[177],"implementation":[178],"challenges.":[179]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2026-08-20T00:00:00"}
