{"id":"https://openalex.org/W4200056000","doi":"https://doi.org/10.3390/s22010169","title":"Deep Learning Approach at the Edge to Detect Iron Ore Type","display_name":"Deep Learning Approach at the Edge to Detect Iron Ore Type","publication_year":2021,"publication_date":"2021-12-28","ids":{"openalex":"https://openalex.org/W4200056000","doi":"https://doi.org/10.3390/s22010169","pmid":"https://pubmed.ncbi.nlm.nih.gov/35009712"},"language":"en","primary_location":{"id":"doi:10.3390/s22010169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22010169","pdf_url":"https://www.mdpi.com/1424-8220/22/1/169/pdf?version=1640661910","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/1/169/pdf?version=1640661910","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047874542","display_name":"Emerson Klippel","orcid":null},"institutions":[{"id":"https://openalex.org/I10824318","display_name":"Universidade Federal de Ouro Preto","ror":"https://ror.org/056s65p46","country_code":"BR","type":"education","lineage":["https://openalex.org/I10824318"]},{"id":"https://openalex.org/I165476936","display_name":"Vale (Brazil)","ror":"https://ror.org/05a99n355","country_code":"BR","type":"company","lineage":["https://openalex.org/I165476936"]},{"id":"https://openalex.org/I4210161302","display_name":"Vale Technological Institute","ror":"https://ror.org/05wnasr61","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210161302"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Emerson Klippel","raw_affiliation_strings":["Graduate Program in Instrumentation, Control and Automation of Mining Processes, Instituto Tecnol\u00f3gico Vale, Federal University of Ouro Preto, Ouro Preto 35400-000, Brazil","VALE S.A., Parauapebas, Para 68516-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Instrumentation, Control and Automation of Mining Processes, Instituto Tecnol\u00f3gico Vale, Federal University of Ouro Preto, Ouro Preto 35400-000, Brazil","institution_ids":["https://openalex.org/I4210161302","https://openalex.org/I10824318"]},{"raw_affiliation_string":"VALE S.A., Parauapebas, Para 68516-000, Brazil","institution_ids":["https://openalex.org/I165476936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040077481","display_name":"Andrea Bianchi","orcid":"https://orcid.org/0000-0001-7949-1188"},"institutions":[{"id":"https://openalex.org/I10824318","display_name":"Universidade Federal de Ouro Preto","ror":"https://ror.org/056s65p46","country_code":"BR","type":"education","lineage":["https://openalex.org/I10824318"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andrea Gomes Campos Bianchi","raw_affiliation_strings":["Computing Department, Federal University of Ouro Preto, Ouro Preto 35400-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Computing Department, Federal University of Ouro Preto, Ouro Preto 35400-000, Brazil","institution_ids":["https://openalex.org/I10824318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085041285","display_name":"Saul Delabrida","orcid":"https://orcid.org/0000-0002-8961-5313"},"institutions":[{"id":"https://openalex.org/I10824318","display_name":"Universidade Federal de Ouro Preto","ror":"https://ror.org/056s65p46","country_code":"BR","type":"education","lineage":["https://openalex.org/I10824318"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Saul Delabrida","raw_affiliation_strings":["Computing Department, Federal University of Ouro Preto, Ouro Preto 35400-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Computing Department, Federal University of Ouro Preto, Ouro Preto 35400-000, Brazil","institution_ids":["https://openalex.org/I10824318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065687124","display_name":"Mateus Silva","orcid":"https://orcid.org/0000-0003-3717-1906"},"institutions":[{"id":"https://openalex.org/I10824318","display_name":"Universidade Federal de Ouro Preto","ror":"https://ror.org/056s65p46","country_code":"BR","type":"education","lineage":["https://openalex.org/I10824318"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mateus Coelho Silva","raw_affiliation_strings":["Computing Department, Federal University of Ouro Preto, Ouro Preto 35400-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Computing Department, Federal University of Ouro Preto, Ouro Preto 35400-000, Brazil","institution_ids":["https://openalex.org/I10824318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083512493","display_name":"Charles Tim Batista Garrocho","orcid":"https://orcid.org/0000-0001-8245-306X"},"institutions":[{"id":"https://openalex.org/I10824318","display_name":"Universidade Federal de Ouro Preto","ror":"https://ror.org/056s65p46","country_code":"BR","type":"education","lineage":["https://openalex.org/I10824318"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Charles Tim Batista Garrocho","raw_affiliation_strings":["Computing Department, Federal University of Ouro Preto, Ouro Preto 35400-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Computing Department, Federal University of Ouro Preto, Ouro Preto 35400-000, Brazil","institution_ids":["https://openalex.org/I10824318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083115110","display_name":"Vinicius S. Moreira","orcid":"https://orcid.org/0000-0002-1803-0131"},"institutions":[{"id":"https://openalex.org/I165476936","display_name":"Vale (Brazil)","ror":"https://ror.org/05a99n355","country_code":"BR","type":"company","lineage":["https://openalex.org/I165476936"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Vinicius da Silva Moreira","raw_affiliation_strings":["VALE S.A., Parauapebas, Para 68516-000, Brazil"],"affiliations":[{"raw_affiliation_string":"VALE S.A., Parauapebas, Para 68516-000, Brazil","institution_ids":["https://openalex.org/I165476936"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067556320","display_name":"Ricardo Oliveira","orcid":"https://orcid.org/0000-0001-5167-1523"},"institutions":[{"id":"https://openalex.org/I10824318","display_name":"Universidade Federal de Ouro Preto","ror":"https://ror.org/056s65p46","country_code":"BR","type":"education","lineage":["https://openalex.org/I10824318"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ricardo Augusto Rabelo Oliveira","raw_affiliation_strings":["Computing Department, Federal University of Ouro Preto, Ouro Preto 35400-000, Brazil"],"affiliations":[{"raw_affiliation_string":"Computing Department, Federal University of Ouro Preto, Ouro Preto 35400-000, Brazil","institution_ids":["https://openalex.org/I10824318"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5047874542"],"corresponding_institution_ids":["https://openalex.org/I10824318","https://openalex.org/I165476936","https://openalex.org/I4210161302"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.3372,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.55912125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"22","issue":"1","first_page":"169","last_page":"169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12282","display_name":"Mineral Processing and Grinding","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12549","display_name":"Image and Object Detection Techniques","score":0.9904000163078308,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.984000027179718,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6757014989852905},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6647977232933044},{"id":"https://openalex.org/keywords/iron-ore","display_name":"Iron ore","score":0.6323894262313843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.610133171081543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5369076728820801},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5129632353782654},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5080971717834473},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.485101580619812},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.48192596435546875},{"id":"https://openalex.org/keywords/beneficiation","display_name":"Beneficiation","score":0.472383975982666},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46384742856025696},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.45494887232780457},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.358387291431427},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26484251022338867},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18504378199577332}],"concepts":[{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6757014989852905},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6647977232933044},{"id":"https://openalex.org/C2779748816","wikidata":"https://www.wikidata.org/wiki/Q191552","display_name":"Iron ore","level":2,"score":0.6323894262313843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.610133171081543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5369076728820801},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5129632353782654},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5080971717834473},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.485101580619812},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.48192596435546875},{"id":"https://openalex.org/C138782731","wikidata":"https://www.wikidata.org/wiki/Q2782134","display_name":"Beneficiation","level":2,"score":0.472383975982666},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46384742856025696},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.45494887232780457},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.358387291431427},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26484251022338867},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18504378199577332},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007501","descriptor_name":"Iron","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007501","descriptor_name":"Iron","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007501","descriptor_name":"Iron","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007501","descriptor_name":"Iron","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.3390/s22010169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22010169","pdf_url":"https://www.mdpi.com/1424-8220/22/1/169/pdf?version=1640661910","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35009712","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35009712","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:ec92dec8564a4f428e05b1b28ce1f193","is_oa":true,"landing_page_url":"https://doaj.org/article/ec92dec8564a4f428e05b1b28ce1f193","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 1, p 169 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/1/169/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22010169","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors; Volume 22; Issue 1; Pages: 169","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8749548","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8749548","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:repositorio.ufop.br:123456789/15658","is_oa":true,"landing_page_url":"https://www.mdpi.com/1424-8220/22/1/169?type=check_update&version=1>.","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"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":"instacron:UFOP","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/s22010169","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22010169","pdf_url":"https://www.mdpi.com/1424-8220/22/1/169/pdf?version=1640661910","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200056000.pdf","grobid_xml":"https://content.openalex.org/works/W4200056000.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2094690658","https://openalex.org/W2112796928","https://openalex.org/W2304241375","https://openalex.org/W2619737019","https://openalex.org/W2789546279","https://openalex.org/W2802617442","https://openalex.org/W2808106811","https://openalex.org/W2914917491","https://openalex.org/W2950865323","https://openalex.org/W2954996726","https://openalex.org/W2971544482","https://openalex.org/W3007515473","https://openalex.org/W3012561096","https://openalex.org/W3013151921","https://openalex.org/W3015637745","https://openalex.org/W3027542479","https://openalex.org/W3044250972","https://openalex.org/W3083963384","https://openalex.org/W3091818320","https://openalex.org/W3105886168","https://openalex.org/W3176923149","https://openalex.org/W4245888765"],"related_works":["https://openalex.org/W179144033","https://openalex.org/W4361853578","https://openalex.org/W2783669149","https://openalex.org/W2371711964","https://openalex.org/W2891365638","https://openalex.org/W185296343","https://openalex.org/W2775772161","https://openalex.org/W2968968469","https://openalex.org/W1596400843","https://openalex.org/W2370013582"],"abstract_inverted_index":{"There":[0],"is":[1,20],"a":[2,73,117,160],"constant":[3],"risk":[4,45,184],"of":[5,43,49,107,126,138,151,157,162,167,178,185],"iron":[6,50,179],"ore":[7,51,180],"collapsing":[8],"during":[9],"its":[10,183],"transfer":[11],"between":[12],"processing":[13],"stages":[14],"in":[15,94,147],"beneficiation":[16],"plants.":[17],"Existing":[18],"instrumentation":[19],"not":[21],"only":[22],"expensive":[23],"but":[24],"also":[25],"complex":[26],"and":[27,64,159,181],"challenging":[28],"to":[29,76,122,174],"maintain.":[30],"In":[31,113],"this":[32,57],"research,":[33],"we":[34,59,71],"propose":[35],"using":[36,168],"edge":[37,63,173],"artificial":[38],"intelligence":[39],"for":[40,83,92,104],"early":[41],"detection":[42],"landslide":[44],"based":[46],"on":[47,53],"images":[48,78,139],"transported":[52],"conveyor":[54],"belts.":[55],"During":[56],"work,":[58],"defined":[60],"the":[61,65,85,95,108,115,124,130,135,141,148,152,165,172,176],"device":[62,96],"deep":[66,169],"neural":[67],"network":[68],"model.":[69,86],"Then,":[70],"built":[72],"prototype":[74,100,153],"will":[75,80,89,101],"collect":[77],"that":[79],"be":[81,90,102],"used":[82,103,121],"training":[84],"This":[87,98],"model":[88,109],"compressed":[91],"use":[93],"edge.":[97],"same":[99],"field":[105,149],"tests":[106,150],"under":[110],"operational":[111],"conditions.":[112],"building":[114],"prototype,":[116],"real-time":[118],"clock":[119],"was":[120],"ensure":[123],"synchronization":[125],"image":[127],"records":[128],"with":[129,154],"plant's":[131],"process":[132,142],"information,":[133],"ensuring":[134],"correct":[136],"classification":[137],"by":[140],"specialist.":[143],"The":[144],"results":[145],"obtained":[146],"an":[155],"accuracy":[156],"91%":[158],"recall":[161],"96%":[163],"indicate":[164],"feasibility":[166],"learning":[170],"at":[171],"detect":[175],"type":[177],"prevent":[182],"avalanche.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
