{"id":"https://openalex.org/W4313471306","doi":"https://doi.org/10.3390/s23010448","title":"Improved Drill State Recognition during Milling Process Using Artificial Intelligence","display_name":"Improved Drill State Recognition during Milling Process Using Artificial Intelligence","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4313471306","doi":"https://doi.org/10.3390/s23010448","pmid":"https://pubmed.ncbi.nlm.nih.gov/36617050"},"language":"en","primary_location":{"id":"doi:10.3390/s23010448","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23010448","pdf_url":"https://www.mdpi.com/1424-8220/23/1/448/pdf?version=1672905001","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/1424-8220/23/1/448/pdf?version=1672905001","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023404295","display_name":"Jaros\u0142aw Kurek","orcid":"https://orcid.org/0000-0002-2789-4732"},"institutions":[{"id":"https://openalex.org/I170230895","display_name":"Warsaw University of Life Sciences","ror":"https://ror.org/05srvzs48","country_code":"PL","type":"education","lineage":["https://openalex.org/I170230895"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Jaros\u0142aw Kurek","raw_affiliation_strings":["Department of Artificial Intelligence, Institute of Information Technology, Warsaw University of Life Sciences, 02-776 Warsaw, Poland"],"raw_orcid":"https://orcid.org/0000-0002-2789-4732","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Institute of Information Technology, Warsaw University of Life Sciences, 02-776 Warsaw, Poland","institution_ids":["https://openalex.org/I170230895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022988453","display_name":"Artur Krupa","orcid":"https://orcid.org/0000-0001-8583-9873"},"institutions":[{"id":"https://openalex.org/I170230895","display_name":"Warsaw University of Life Sciences","ror":"https://ror.org/05srvzs48","country_code":"PL","type":"education","lineage":["https://openalex.org/I170230895"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Artur Krupa","raw_affiliation_strings":["Department of Artificial Intelligence, Institute of Information Technology, Warsaw University of Life Sciences, 02-776 Warsaw, Poland"],"raw_orcid":"https://orcid.org/0000-0001-8583-9873","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Institute of Information Technology, Warsaw University of Life Sciences, 02-776 Warsaw, Poland","institution_ids":["https://openalex.org/I170230895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024854265","display_name":"Izabella Antoniuk","orcid":"https://orcid.org/0000-0003-3157-3381"},"institutions":[{"id":"https://openalex.org/I170230895","display_name":"Warsaw University of Life Sciences","ror":"https://ror.org/05srvzs48","country_code":"PL","type":"education","lineage":["https://openalex.org/I170230895"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Izabella Antoniuk","raw_affiliation_strings":["Department of Artificial Intelligence, Institute of Information Technology, Warsaw University of Life Sciences, 02-776 Warsaw, Poland"],"raw_orcid":"https://orcid.org/0000-0003-3157-3381","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Institute of Information Technology, Warsaw University of Life Sciences, 02-776 Warsaw, Poland","institution_ids":["https://openalex.org/I170230895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076154400","display_name":"Arlan Akhmet","orcid":"https://orcid.org/0000-0002-9496-1712"},"institutions":[{"id":"https://openalex.org/I170230895","display_name":"Warsaw University of Life Sciences","ror":"https://ror.org/05srvzs48","country_code":"PL","type":"education","lineage":["https://openalex.org/I170230895"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Arlan Akhmet","raw_affiliation_strings":["Department of Artificial Intelligence, Institute of Information Technology, Warsaw University of Life Sciences, 02-776 Warsaw, Poland"],"raw_orcid":"https://orcid.org/0000-0002-9496-1712","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Institute of Information Technology, Warsaw University of Life Sciences, 02-776 Warsaw, Poland","institution_ids":["https://openalex.org/I170230895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042037902","display_name":"Ulan Abdiomar","orcid":null},"institutions":[{"id":"https://openalex.org/I170230895","display_name":"Warsaw University of Life Sciences","ror":"https://ror.org/05srvzs48","country_code":"PL","type":"education","lineage":["https://openalex.org/I170230895"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Ulan Abdiomar","raw_affiliation_strings":["Department of Artificial Intelligence, Institute of Information Technology, Warsaw University of Life Sciences, 02-776 Warsaw, Poland"],"raw_orcid":"https://orcid.org/0000-0002-4785-0817","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Institute of Information Technology, Warsaw University of Life Sciences, 02-776 Warsaw, Poland","institution_ids":["https://openalex.org/I170230895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008811992","display_name":"Micha\u0142 Bukowski","orcid":"https://orcid.org/0000-0003-1567-879X"},"institutions":[{"id":"https://openalex.org/I170230895","display_name":"Warsaw University of Life Sciences","ror":"https://ror.org/05srvzs48","country_code":"PL","type":"education","lineage":["https://openalex.org/I170230895"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Micha\u0142 Bukowski","raw_affiliation_strings":["Department of Artificial Intelligence, Institute of Information Technology, Warsaw University of Life Sciences, 02-776 Warsaw, Poland"],"raw_orcid":"https://orcid.org/0000-0003-1567-879X","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Institute of Information Technology, Warsaw University of Life Sciences, 02-776 Warsaw, Poland","institution_ids":["https://openalex.org/I170230895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061768669","display_name":"Karol Szymanowski","orcid":"https://orcid.org/0000-0003-0383-0897"},"institutions":[{"id":"https://openalex.org/I170230895","display_name":"Warsaw University of Life Sciences","ror":"https://ror.org/05srvzs48","country_code":"PL","type":"education","lineage":["https://openalex.org/I170230895"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Karol Szymanowski","raw_affiliation_strings":["Department of Mechanical Processing of Wood, Institute of Wood Sciences and Furniture, Warsaw University of Life Sciences, 02-776 Warsaw, Poland"],"raw_orcid":"https://orcid.org/0000-0003-0383-0897","affiliations":[{"raw_affiliation_string":"Department of Mechanical Processing of Wood, Institute of Wood Sciences and Furniture, Warsaw University of Life Sciences, 02-776 Warsaw, Poland","institution_ids":["https://openalex.org/I170230895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023404295"],"corresponding_institution_ids":["https://openalex.org/I170230895"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.1438,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.78530788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"23","issue":"1","first_page":"448","last_page":"448"},"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":0.9990000128746033,"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":0.9990000128746033,"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/T10188","display_name":"Advanced machining processes and optimization","score":0.9986000061035156,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9936000108718872,"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/downtime","display_name":"Downtime","score":0.7705376148223877},{"id":"https://openalex.org/keywords/drill","display_name":"Drill","score":0.6198893189430237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4870922565460205},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44122177362442017},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.41549259424209595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33323702216148376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30581313371658325},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.28562527894973755},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.27161872386932373},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.08954286575317383}],"concepts":[{"id":"https://openalex.org/C180591934","wikidata":"https://www.wikidata.org/wiki/Q1253369","display_name":"Downtime","level":2,"score":0.7705376148223877},{"id":"https://openalex.org/C173736775","wikidata":"https://www.wikidata.org/wiki/Q58964","display_name":"Drill","level":2,"score":0.6198893189430237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4870922565460205},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44122177362442017},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.41549259424209595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33323702216148376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30581313371658325},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28562527894973755},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.27161872386932373},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.08954286575317383},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"D034941","descriptor_name":"Upper Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D034941","descriptor_name":"Upper Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D034941","descriptor_name":"Upper Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23010448","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23010448","pdf_url":"https://www.mdpi.com/1424-8220/23/1/448/pdf?version=1672905001","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:36617050","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36617050","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:pubmedcentral.nih.gov:9823354","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9823354","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9823354/pdf/sensors-23-00448.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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:doaj.org/article:aaa4bd7eb7b742029a82618efb4d61ad","is_oa":true,"landing_page_url":"https://doaj.org/article/aaa4bd7eb7b742029a82618efb4d61ad","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,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 23, Iss 1, p 448 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/1/448/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23010448","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 23; Issue 1; Pages: 448","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23010448","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23010448","pdf_url":"https://www.mdpi.com/1424-8220/23/1/448/pdf?version=1672905001","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":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313471306.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W806425155","https://openalex.org/W1635446483","https://openalex.org/W1678356000","https://openalex.org/W1987552279","https://openalex.org/W1994616650","https://openalex.org/W2024046085","https://openalex.org/W2027595890","https://openalex.org/W2065375512","https://openalex.org/W2070493638","https://openalex.org/W2077341607","https://openalex.org/W2080223447","https://openalex.org/W2080885754","https://openalex.org/W2122111042","https://openalex.org/W2216946510","https://openalex.org/W2295598076","https://openalex.org/W2548695521","https://openalex.org/W2605516844","https://openalex.org/W2738458544","https://openalex.org/W2765541973","https://openalex.org/W2898995609","https://openalex.org/W2911964244","https://openalex.org/W2936340011","https://openalex.org/W3026226589","https://openalex.org/W3089566947","https://openalex.org/W3095977387","https://openalex.org/W3116712234","https://openalex.org/W4210323827","https://openalex.org/W4248220371","https://openalex.org/W4283780169","https://openalex.org/W4285733231","https://openalex.org/W6622786061","https://openalex.org/W6718624509","https://openalex.org/W6741319233"],"related_works":["https://openalex.org/W2046276983","https://openalex.org/W2954002293","https://openalex.org/W2078264086","https://openalex.org/W2892741875","https://openalex.org/W2164372000","https://openalex.org/W2109143577","https://openalex.org/W2161582432","https://openalex.org/W1972812226","https://openalex.org/W4250391074","https://openalex.org/W1985537075"],"abstract_inverted_index":{"In":[0,79],"this":[1,51],"article,":[2],"an":[3,142,176],"automated":[4],"method":[5],"for":[6,76,106],"tool":[7,66,207],"condition":[8,208],"monitoring":[9],"is":[10,30,53,85],"presented.":[11],"When":[12],"producing":[13],"items":[14],"in":[15,46,69,113,128,202],"large":[16],"quantities,":[17],"pointing":[18],"out":[19],"the":[20,24,36,58,77,80,107,134,155,168,182,186],"exact":[21],"time":[22,119],"when":[23],"element":[25],"needs":[26],"to":[27,151,206],"be":[28,200],"exchanged":[29],"crucial.":[31],"If":[32],"performed":[33],"too":[34,55],"early,":[35],"operator":[37],"gets":[38],"rid":[39],"of":[40,99,123,130,136,179],"a":[41,64,70],"good":[42,196],"drill,":[43],"also":[44],"resulting":[45],"production":[47,62],"downtime":[48],"increase":[49],"if":[50],"operation":[52],"repeated":[54],"often.":[56],"On":[57],"other":[59],"hand,":[60],"continuing":[61],"with":[63,117],"worn":[65],"might":[67],"result":[68],"poor-quality":[71],"product":[72],"and":[73,95,133,159,181,198],"financial":[74],"loss":[75],"manufacturer.":[78],"presented":[81,193],"approach,":[82],"drill":[83],"wear":[84],"classified":[86],"using":[87],"three":[88],"states":[89,153],"representing":[90],"decreasing":[91],"quality:":[92],"green,":[93],"yellow":[94,187],"red.":[96],"A":[97,121],"series":[98],"signals":[100],"were":[101,111,126,149,165],"collected":[102],"as":[103,190],"training":[104],"data":[105,115],"classification":[108],"algorithms.":[109],"Measurements":[110],"saved":[112],"separate":[114],"sets":[116],"corresponding":[118],"windows.":[120],"total":[122],"ten":[124],"methods":[125],"evaluated":[127],"terms":[129],"overall":[131,177],"accuracy":[132,144,178],"number":[135],"misclassification":[137,184],"errors.":[138,161],"Three":[139],"solutions":[140],"obtained":[141],"acceptable":[143],"rate":[145],"above":[146],"85%.":[147],"Algorithms":[148],"able":[150],"assign":[152],"without":[154],"most":[156],"undesirable":[157],"red-green":[158],"green-red":[160],"The":[162,192],"best":[163],"results":[164,197],"achieved":[166,175],"by":[167],"Extreme":[169],"Gradient":[170],"Boosting":[171],"algorithm.":[172],"This":[173],"approach":[174],"93.33%,":[180],"only":[183],"was":[185],"sample":[188],"assigned":[189],"green.":[191],"solution":[194],"achieves":[195],"can":[199],"applied":[201],"industry":[203],"applications":[204],"related":[205],"monitoring.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
