{"id":"https://openalex.org/W4399345008","doi":"https://doi.org/10.11591/ijeecs.v35.i2.pp853-866","title":"Edge-platforms based decision-support approach for solar panels inspection with YOLOv8 deep neural-network","display_name":"Edge-platforms based decision-support approach for solar panels inspection with YOLOv8 deep neural-network","publication_year":2024,"publication_date":"2024-06-04","ids":{"openalex":"https://openalex.org/W4399345008","doi":"https://doi.org/10.11591/ijeecs.v35.i2.pp853-866"},"language":"en","primary_location":{"id":"doi:10.11591/ijeecs.v35.i2.pp853-866","doi":"https://doi.org/10.11591/ijeecs.v35.i2.pp853-866","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijeecs.v35.i2.pp853-866","pdf_url":"https://ijeecs.iaescore.com/index.php/IJEECS/article/download/36819/18536","source":{"id":"https://openalex.org/S2764855249","display_name":"Indonesian Journal of Electrical Engineering and Computer Science","issn_l":"2502-4752","issn":["2502-4752","2502-4760"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Electrical Engineering and Computer Science","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ijeecs.iaescore.com/index.php/IJEECS/article/download/36819/18536","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018141815","display_name":"Hajar El Karch","orcid":"https://orcid.org/0000-0001-7775-9830","observed_orcids":["https://orcid.org/0000-0001-7775-9830"]},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Hajar El Karch","raw_affiliation_strings":["University Ibn Tofail (UIT)"],"raw_orcid":"https://orcid.org/0000-0001-7775-9830","affiliations":[{"raw_affiliation_string":"University Ibn Tofail (UIT)","institution_ids":["https://openalex.org/I3121676899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064529163","display_name":"Abdelkader Mezouari","orcid":"https://orcid.org/0000-0001-5389-2450","observed_orcids":["https://orcid.org/0000-0001-5389-2450"]},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Abdelkader Mezouari","raw_affiliation_strings":["University Ibn Tofail (UIT)"],"raw_orcid":"https://orcid.org/0000-0001-5389-2450","affiliations":[{"raw_affiliation_string":"University Ibn Tofail (UIT)","institution_ids":["https://openalex.org/I3121676899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099018864","display_name":"Youssef Natij","orcid":"https://orcid.org/0009-0007-4803-9261","observed_orcids":["https://orcid.org/0009-0007-4803-9261"]},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Youssef Natij","raw_affiliation_strings":["University Ibn Tofail (UIT)"],"raw_orcid":"https://orcid.org/0009-0007-4803-9261","affiliations":[{"raw_affiliation_string":"University Ibn Tofail (UIT)","institution_ids":["https://openalex.org/I3121676899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113692697","display_name":"Rachid El Gouri","orcid":"https://orcid.org/0000-0001-6006-8486","observed_orcids":["https://orcid.org/0000-0001-6006-8486"]},"institutions":[{"id":"https://openalex.org/I3121676899","display_name":"Universit\u00e9 Ibn-Tofail","ror":"https://ror.org/02wj89n04","country_code":"MA","type":"education","lineage":["https://openalex.org/I3121676899"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Rachid El Gouri","raw_affiliation_strings":["University Ibn Tofail (UIT)"],"raw_orcid":"https://orcid.org/0000-0001-6006-8486","affiliations":[{"raw_affiliation_string":"University Ibn Tofail (UIT)","institution_ids":["https://openalex.org/I3121676899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3121676899"],"apc_list":null,"apc_paid":null,"fwci":0.6155,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70276498,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"35","issue":"2","first_page":"853","last_page":"853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.774399995803833,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.774399995803833,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10036","display_name":"Advanced Neural Network Applications","score":0.11079999804496765,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.043800000101327896,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/solar-panel-cleaning","display_name":"solar panel cleaning","score":0.8130000233650208},{"id":"https://openalex.org/keywords/yolov8","display_name":"YOLOv8","score":0.9660000205039978},{"id":"https://openalex.org/keywords/edge-computing","display_name":"edge computing","score":0.7239999771118164},{"id":"https://openalex.org/keywords/embedded-deployment","display_name":"embedded deployment","score":0.4749999940395355},{"id":"https://openalex.org/keywords/nvidia-jetson-nano","display_name":"Jetson Nano","score":0.9610000252723694},{"id":"https://openalex.org/keywords/raspberry-pi","display_name":"Raspberry Pi","score":0.6980000138282776},{"id":"https://openalex.org/keywords/real-time-object-detection","display_name":"real-time object detection","score":0.7860000133514404},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"decision support system","score":0.6420000195503235}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7037367820739746},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.652307391166687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5101187825202942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48991721868515015},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.34617623686790466}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.11591/ijeecs.v35.i2.pp853-866","doi":"https://doi.org/10.11591/ijeecs.v35.i2.pp853-866","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijeecs.v35.i2.pp853-866","pdf_url":"https://ijeecs.iaescore.com/index.php/IJEECS/article/download/36819/18536","source":{"id":"https://openalex.org/S2764855249","display_name":"Indonesian Journal of Electrical Engineering and Computer Science","issn_l":"2502-4752","issn":["2502-4752","2502-4760"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Electrical Engineering and Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.11591/ijeecs.v35.i2.pp853-866","doi":"https://doi.org/10.11591/ijeecs.v35.i2.pp853-866","is_oa":true,"landing_page_url":"https://doi.org/10.11591/ijeecs.v35.i2.pp853-866","pdf_url":"https://ijeecs.iaescore.com/index.php/IJEECS/article/download/36819/18536","source":{"id":"https://openalex.org/S2764855249","display_name":"Indonesian Journal of Electrical Engineering and Computer Science","issn_l":"2502-4752","issn":["2502-4752","2502-4760"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310315009","host_organization_name":"Institute of Advanced Engineering and Science (IAES)","host_organization_lineage":["https://openalex.org/P4310315009"],"host_organization_lineage_names":["Institute of Advanced Engineering and Science (IAES)"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Indonesian Journal of Electrical Engineering and Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.8970999717712402,"id":"https://metadata.un.org/sdg/9"},{"display_name":"Affordable and clean energy","score":0.8485000133514404,"id":"https://metadata.un.org/sdg/7"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399345008.pdf","grobid_xml":"https://content.openalex.org/works/W4399345008.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4392436512","https://openalex.org/W4411850527","https://openalex.org/W4413426036","https://openalex.org/W4381744733","https://openalex.org/W4416271094","https://openalex.org/W4416616689","https://openalex.org/W4417509452","https://openalex.org/W7164410123","https://openalex.org/W7167719703","https://openalex.org/W4414622306"],"abstract_inverted_index":{"This":[0,132],"paper":[1],"presents":[2],"an":[3,169],"innovative":[4],"AI-based":[5],"method":[6,57],"for":[7,20,39,107,125,190],"autonomous":[8],"inspection,":[9],"designed":[10],"to":[11,29,78,114],"enhance":[12],"energy":[13,139],"production":[14],"efficiency":[15],"by":[16],"optimizing":[17],"cleaning":[18,41],"strategies":[19],"soiled":[21],"photovoltaic":[22],"panels,":[23],"using":[24,186],"advanced":[25,46,128],"artificial":[26],"intelligence":[27],"algorithms":[28,189],"analyze":[30],"panel":[31],"conditions":[32],"and":[33,51,64,71,81,97,137,141,162],"environmental":[34],"factors":[35],"in":[36,61,144,159],"real-time,":[37],"allowing":[38],"targeted":[40],"interventions.":[42],"Based":[43],"on":[44,75],"the":[45,55,92,98,120,146,164,181],"YOLOv8":[47],"deep":[48,187],"learning":[49,188],"algorithm":[50],"computer":[52,184],"vision":[53,185],"approach,":[54],"proposed":[56],"offers":[58],"distinct":[59],"advantages":[60],"real-time":[62],"detection":[63,166,191],"classification":[65],"of":[66,69,119,172,183,197],"various":[67],"types":[68],"soiling":[70,161],"dust":[72],"accumulation":[73],"compared":[74],"solar":[76],"panels":[77],"traditional":[79],"methods,":[80],"underwent":[82],"satisfactory":[83],"testing":[84],"across":[85,193],"diverse":[86],"scenarios.":[87,198],"The":[88,150],"NVIDIA":[89],"Jetson":[90],"Nano,":[91],"Raspberry":[93,99],"Pi4":[94,100],"embedded":[95,123],"devices,":[96],"combined":[101],"with":[102],"NCS2":[103],"accelerator":[104],"are":[105],"used":[106],"implementing":[108],"our":[109,127,154],"approach.":[110],"A":[111],"comparison":[112,133],"aims":[113],"provide":[115],"a":[116,194],"detailed":[117],"exploration":[118],"most":[121],"suitable":[122],"platform":[124],"deploying":[126],"system":[129],"was":[130],"discussed.":[131],"considers":[134],"processing":[135],"speed":[136],"accuracy,":[138],"consumption,":[140],"overall":[142],"performance":[143],"executing":[145],"computationally":[147],"intensive":[148],"tasks.":[149],"results":[151],"demonstrate":[152],"that":[153],"model":[155],"achieves":[156],"high":[157],"accuracy":[158],"detecting":[160],"enhancing":[163],"model's":[165],"speed.":[167],"With":[168],"average":[170],"precision":[171],"99.5%,":[173],"this":[174],"approach":[175],"ensures":[176],"accurate":[177],"fault":[178],"identification,":[179],"underscoring":[180],"effectiveness":[182],"tasks":[192],"wide":[195],"range":[196]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2024-06-05T00:00:00"}
