{"id":"https://openalex.org/W4220929542","doi":"https://doi.org/10.1155/2022/3982892","title":"Automatic Rock Classification Algorithm Based on Ensemble Residual Network and Merged Region Extraction","display_name":"Automatic Rock Classification Algorithm Based on Ensemble Residual Network and Merged Region Extraction","publication_year":2022,"publication_date":"2022-03-20","ids":{"openalex":"https://openalex.org/W4220929542","doi":"https://doi.org/10.1155/2022/3982892"},"language":"en","primary_location":{"id":"doi:10.1155/2022/3982892","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/3982892","pdf_url":"https://downloads.hindawi.com/journals/am/2022/3982892.pdf","source":{"id":"https://openalex.org/S4210205703","display_name":"Advances in Multimedia","issn_l":"1687-5680","issn":["1687-5680","1687-5699"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/am/2022/3982892.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058686217","display_name":"Chenlu Guo","orcid":"https://orcid.org/0000-0003-0326-1209"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenlu Guo","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041506508","display_name":"Zhiyuan Li","orcid":"https://orcid.org/0000-0002-0648-8436"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Li","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058686217"],"corresponding_institution_ids":["https://openalex.org/I80143920"],"apc_list":{"value":900,"currency":"USD","value_usd":900},"apc_paid":{"value":900,"currency":"USD","value_usd":900},"fwci":0.685,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.62462815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9993000030517578,"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":0.9993000030517578,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9951000213623047,"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/T10892","display_name":"Drilling and Well Engineering","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.5564047694206238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5460893511772156},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5378322601318359},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5135195851325989},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49129337072372437},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46178749203681946},{"id":"https://openalex.org/keywords/lithology","display_name":"Lithology","score":0.4532212018966675},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44985827803611755},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.42738574743270874},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4225099980831146},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3803369700908661},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3501158058643341}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5564047694206238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5460893511772156},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5378322601318359},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5135195851325989},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49129337072372437},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46178749203681946},{"id":"https://openalex.org/C122792734","wikidata":"https://www.wikidata.org/wiki/Q6538759","display_name":"Lithology","level":2,"score":0.4532212018966675},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44985827803611755},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.42738574743270874},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4225099980831146},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3803369700908661},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3501158058643341},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2022/3982892","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/3982892","pdf_url":"https://downloads.hindawi.com/journals/am/2022/3982892.pdf","source":{"id":"https://openalex.org/S4210205703","display_name":"Advances in Multimedia","issn_l":"1687-5680","issn":["1687-5680","1687-5699"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8021b3f8468540c7a51553f3201b5690","is_oa":true,"landing_page_url":"https://doaj.org/article/8021b3f8468540c7a51553f3201b5690","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advances in Multimedia, Vol 2022 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2022/3982892","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/3982892","pdf_url":"https://downloads.hindawi.com/journals/am/2022/3982892.pdf","source":{"id":"https://openalex.org/S4210205703","display_name":"Advances in Multimedia","issn_l":"1687-5680","issn":["1687-5680","1687-5699"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Multimedia","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220929542.pdf","grobid_xml":"https://content.openalex.org/works/W4220929542.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W2021586754","https://openalex.org/W2112796928","https://openalex.org/W2162630772","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2356584732","https://openalex.org/W2968729886","https://openalex.org/W3000100760","https://openalex.org/W3123751167"],"related_works":["https://openalex.org/W2365951008","https://openalex.org/W2359496214","https://openalex.org/W2383724031","https://openalex.org/W4309047080","https://openalex.org/W2358967818","https://openalex.org/W4310275134","https://openalex.org/W4385606723","https://openalex.org/W2371323192","https://openalex.org/W3204629695","https://openalex.org/W3210837196"],"abstract_inverted_index":{"Lithology":[0],"identification":[1],"of":[2,11,34,57,80,108,135,146,155,183],"rocks":[3],"is":[4,26,48,74,120,163],"an":[5,123],"important":[6],"part":[7,66],"in":[8,157],"the":[9,31,35,55,58,64,78,83,90,99,106,133,138,144,161,170,181],"field":[10],"oil":[12],"and":[13,18,94,186],"gas":[14],"exploration,":[15,17],"mineral":[16],"geological":[19],"analysis.":[20],"How":[21],"to":[22,49,76,104,111,131],"accomplish":[23],"rock":[24,44,65,70,84,115],"classification":[25,125,174],"a":[27,113],"key":[28],"issue":[29],"for":[30,42,69],"further":[32,177],"development":[33],"geology":[36],"industry.":[37],"The":[38,141,153,173],"current":[39],"main":[40],"method":[41,68,142],"classifying":[43],"pictures":[45],"containing":[46,72],"background":[47,151],"select":[50],"sample":[51],"points":[52],"or":[53],"disregard":[54],"disturbance":[56],"background.":[59,81],"For":[60],"more":[61],"accurate":[62],"classification,":[63],"extraction":[67],"images":[71,101],"boundaries":[73],"designed":[75,121],"eliminate":[77],"influence":[79],"First,":[82],"parts":[85],"are":[86,102,176],"extracted":[87],"based":[88,168],"on":[89,150,160,169],"image":[91,124],"gradient":[92],"information":[93,110],"color":[95],"information,":[96],"respectively.":[97],"Then,":[98],"two":[100],"intersected":[103],"realize":[105],"refinement":[107],"pixel-level":[109],"obtain":[112],"pure":[114],"image.":[116],"Ensemble":[117],"ResNet18":[118],"(ERN18)":[119],"as":[122],"model.":[126],"It":[127],"contains":[128],"basic":[129],"blocks":[130],"reduce":[132],"loss":[134],"features":[136],"during":[137],"training":[139],"process.":[140],"breaks":[143],"neglect":[145],"most":[147],"previous":[148],"studies":[149],"interference.":[152],"effect":[154],"misclassification":[156],"certain":[158],"regions":[159],"results":[162,175],"eliminated":[164],"by":[165],"ensemble":[166],"learning":[167],"voting":[171],"method.":[172],"improved.":[178],"Compared":[179],"with":[180],"effects":[182],"LeNet,":[184],"AlexNet,":[185],"ResNet,":[187],"ERN18":[188],"has":[189],"achieved":[190],"significant":[191],"results.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
