{"id":"https://openalex.org/W7117960095","doi":"https://doi.org/10.1007/978-3-032-13869-9_9","title":"Estimating Weight of Material Transported by Conveyor via Deep Learning on Engine Current Data","display_name":"Estimating Weight of Material Transported by Conveyor via Deep Learning on Engine Current Data","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7117960095","doi":"https://doi.org/10.1007/978-3-032-13869-9_9"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-13869-9_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-13869-9_9","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3370","issn":["2367-3370","2367-3389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","raw_type":"book-chapter"},"type":"book-chapter","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/A5075069046","display_name":"Artur Skoczylas","orcid":"https://orcid.org/0000-0003-1253-3149"},"institutions":[{"id":"https://openalex.org/I305801656","display_name":"Wroclaw University of Economics and Business","ror":"https://ror.org/013sm1c65","country_code":"PL","type":"education","lineage":["https://openalex.org/I305801656"]},{"id":"https://openalex.org/I4210100233","display_name":"KGHM Cuprum (Poland)","ror":"https://ror.org/010c8c923","country_code":"PL","type":"company","lineage":["https://openalex.org/I4210100233"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Artur Skoczylas","raw_affiliation_strings":["Faculty of Management, Wroclaw University of Economics and Business, Komandorska 118/120, 53-345, Wroclaw, Poland","KGHM Cuprum Research and Development Centre Ltd., gen. W. Sikorskiego 2-8, 53-659, Wroclaw, Poland"],"raw_orcid":"https://orcid.org/0000-0003-1253-3149","affiliations":[{"raw_affiliation_string":"Faculty of Management, Wroclaw University of Economics and Business, Komandorska 118/120, 53-345, Wroclaw, Poland","institution_ids":["https://openalex.org/I305801656"]},{"raw_affiliation_string":"KGHM Cuprum Research and Development Centre Ltd., gen. W. Sikorskiego 2-8, 53-659, Wroclaw, Poland","institution_ids":["https://openalex.org/I4210100233"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059029128","display_name":"Artur Rot","orcid":"https://orcid.org/0000-0002-7281-8253"},"institutions":[{"id":"https://openalex.org/I305801656","display_name":"Wroclaw University of Economics and Business","ror":"https://ror.org/013sm1c65","country_code":"PL","type":"education","lineage":["https://openalex.org/I305801656"]},{"id":"https://openalex.org/I4210100233","display_name":"KGHM Cuprum (Poland)","ror":"https://ror.org/010c8c923","country_code":"PL","type":"company","lineage":["https://openalex.org/I4210100233"]},{"id":"https://openalex.org/I4210105785","display_name":"Intelligent Systems Research (United States)","ror":"https://ror.org/01reevc91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210105785"]}],"countries":["PL","US"],"is_corresponding":false,"raw_author_name":"Artur Rot","raw_affiliation_strings":["Center for Intelligent Management Systems, Department of Information Systems, Wroclaw University of Economics and Business, Wroc\u0142aw, Poland","Faculty of Management, Wroclaw University of Economics and Business, Komandorska 118/120, 53-345, Wroclaw, Poland","KGHM Cuprum Research and Development Centre Ltd., gen. W. Sikorskiego 2-8, 53-659, Wroclaw, Poland"],"raw_orcid":"https://orcid.org/0000-0002-7281-8253","affiliations":[{"raw_affiliation_string":"Center for Intelligent Management Systems, Department of Information Systems, Wroclaw University of Economics and Business, Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I4210105785"]},{"raw_affiliation_string":"Faculty of Management, Wroclaw University of Economics and Business, Komandorska 118/120, 53-345, Wroclaw, Poland","institution_ids":["https://openalex.org/I305801656"]},{"raw_affiliation_string":"KGHM Cuprum Research and Development Centre Ltd., gen. W. Sikorskiego 2-8, 53-659, Wroclaw, Poland","institution_ids":["https://openalex.org/I4210100233"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075069046"],"corresponding_institution_ids":["https://openalex.org/I305801656","https://openalex.org/I4210100233"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02442387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"110","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13341","display_name":"Belt Conveyor Systems Engineering","score":0.663100004196167,"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/T13341","display_name":"Belt Conveyor Systems Engineering","score":0.663100004196167,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.05040000006556511,"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/T14304","display_name":"Transport Systems and Technology","score":0.032499998807907104,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6373000144958496},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5759000182151794},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.569100022315979},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4778999984264374},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.43959999084472656},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.42559999227523804},{"id":"https://openalex.org/keywords/conveyor-belt","display_name":"Conveyor belt","score":0.4074000120162964},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4018999934196472}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6373000144958496},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5759000182151794},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.569100022315979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4887000024318695},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4778999984264374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45750001072883606},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.43959999084472656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43709999322891235},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.42559999227523804},{"id":"https://openalex.org/C2777709985","wikidata":"https://www.wikidata.org/wiki/Q770135","display_name":"Conveyor belt","level":2,"score":0.4074000120162964},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4018999934196472},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4000000059604645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3862000107765198},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.3375999927520752},{"id":"https://openalex.org/C92446256","wikidata":"https://www.wikidata.org/wiki/Q3306762","display_name":"Data validation","level":2,"score":0.31679999828338623},{"id":"https://openalex.org/C37649242","wikidata":"https://www.wikidata.org/wiki/Q932268","display_name":"System of measurement","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C202799725","wikidata":"https://www.wikidata.org/wiki/Q272035","display_name":"Accuracy and precision","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.26969999074935913},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.25949999690055847},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.257999986410141},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2533999979496002},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-13869-9_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-13869-9_9","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3370","issn":["2367-3370","2367-3389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2130983366","https://openalex.org/W2550349102","https://openalex.org/W3017150353","https://openalex.org/W3044250972","https://openalex.org/W3095208678","https://openalex.org/W3133921952","https://openalex.org/W3162218460","https://openalex.org/W3204889314","https://openalex.org/W4205558558","https://openalex.org/W4225620096","https://openalex.org/W4327920397","https://openalex.org/W4366378727","https://openalex.org/W4410042906"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2026-01-02T00:00:00"}
