{"id":"https://openalex.org/W2794994761","doi":"https://doi.org/10.1145/3191747","title":"Robust Sensor-Orientation-Independent Feature Selection for Animal Activity Recognition on Collar Tags","display_name":"Robust Sensor-Orientation-Independent Feature Selection for Animal Activity Recognition on Collar Tags","publication_year":2018,"publication_date":"2018-03-26","ids":{"openalex":"https://openalex.org/W2794994761","doi":"https://doi.org/10.1145/3191747","mag":"2794994761"},"language":"en","primary_location":{"id":"doi:10.1145/3191747","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3191747","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3191747&type=pdf","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3191747&type=pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034947045","display_name":"Jacob W. Kamminga","orcid":"https://orcid.org/0000-0003-2153-5250"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jacob W. Kamminga","raw_affiliation_strings":["University of Twente, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039532044","display_name":"Duc V. Le","orcid":"https://orcid.org/0000-0001-7851-0869"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Duc V. Le","raw_affiliation_strings":["University of Twente, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077233175","display_name":"Jan Pieter Meijers","orcid":null},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jan Pieter Meijers","raw_affiliation_strings":["University of Twente, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072136612","display_name":"Helena C. Bisby","orcid":null},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Helena Bisby","raw_affiliation_strings":["University of Twente, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003885813","display_name":"Nirvana Meratnia","orcid":"https://orcid.org/0000-0002-8379-770X"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Nirvana Meratnia","raw_affiliation_strings":["University of Twente, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067566830","display_name":"Paul Havinga","orcid":"https://orcid.org/0000-0002-3399-1790"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Paul J.M. Havinga","raw_affiliation_strings":["University of Twente, Enschede, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94624287"],"apc_list":null,"apc_paid":null,"fwci":3.1618,"has_fulltext":true,"cited_by_count":70,"citation_normalized_percentile":{"value":0.92548744,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"2","issue":"1","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9961000084877014,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9819999933242798,"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/feature-selection","display_name":"Feature selection","score":0.7577439546585083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7272460460662842},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7151895761489868},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7085614204406738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6647554039955139},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6630828380584717},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5673067569732666},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5623497366905212},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5616177320480347},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5109661817550659},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4965885281562805},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45033884048461914},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.43988528847694397},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2689753770828247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17918536067008972},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14266502857208252},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09584805369377136}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7577439546585083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7272460460662842},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7151895761489868},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7085614204406738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6647554039955139},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6630828380584717},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5673067569732666},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5623497366905212},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5616177320480347},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5109661817550659},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4965885281562805},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45033884048461914},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.43988528847694397},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2689753770828247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17918536067008972},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14266502857208252},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09584805369377136},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3191747","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3191747","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3191747&type=pdf","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},{"id":"pmh:oai:ris.utwente.nl:publications/c4b65573-09c8-49c4-b061-7f689a6ee434","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/c4b65573-09c8-49c4-b061-7f689a6ee434","pdf_url":"https://ris.utwente.nl/ws/files/27637688/robust.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kamminga, J W, Le Viet Duc, D V, Meijers, J P, Bisby, H C, Meratnia, N & Havinga, P J M 2018, 'Robust Sensor-Orientation-Independent Feature Selection for Animal Activity Recognition on Collar Tags', Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 2, no. 1, 15. https://doi.org/10.1145/3191747","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:ut:oai:ris.utwente.nl:publications/c4b65573-09c8-49c4-b061-7f689a6ee434","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/robust-sensororientationindependent-feature-selection-for-animal-activity-recognition-on-collar-tags(c4b65573-09c8-49c4-b061-7f689a6ee434).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(1):15. Association for Computing Machinery (ACM)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1145/3191747","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3191747","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3191747&type=pdf","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320929","display_name":"Universiteit Leiden","ror":"https://ror.org/027bh9e22"},{"id":"https://openalex.org/F4320321015","display_name":"University of Twente","ror":"https://ror.org/006hf6230"},{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"},{"id":"https://openalex.org/F4320334952","display_name":"Wageningen University and Research","ror":"https://ror.org/04qw24q55"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2794994761.pdf","grobid_xml":"https://content.openalex.org/works/W2794994761.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W98188630","https://openalex.org/W603693491","https://openalex.org/W1545889824","https://openalex.org/W1564076310","https://openalex.org/W1873332500","https://openalex.org/W1897824230","https://openalex.org/W1969860714","https://openalex.org/W1976484343","https://openalex.org/W1976567760","https://openalex.org/W1979613719","https://openalex.org/W1982434105","https://openalex.org/W1997778582","https://openalex.org/W2002352636","https://openalex.org/W2006407062","https://openalex.org/W2008461270","https://openalex.org/W2019147313","https://openalex.org/W2023962778","https://openalex.org/W2024341973","https://openalex.org/W2033280732","https://openalex.org/W2050442480","https://openalex.org/W2053139129","https://openalex.org/W2054242744","https://openalex.org/W2063304499","https://openalex.org/W2097575504","https://openalex.org/W2102346870","https://openalex.org/W2105046342","https://openalex.org/W2108328714","https://openalex.org/W2110159806","https://openalex.org/W2110784857","https://openalex.org/W2116900702","https://openalex.org/W2119826316","https://openalex.org/W2120168456","https://openalex.org/W2120553757","https://openalex.org/W2120624796","https://openalex.org/W2128121198","https://openalex.org/W2132691216","https://openalex.org/W2135514714","https://openalex.org/W2136375252","https://openalex.org/W2148048965","https://openalex.org/W2148217011","https://openalex.org/W2162989219","https://openalex.org/W2176092415","https://openalex.org/W2196604319","https://openalex.org/W2249397487","https://openalex.org/W2554267115","https://openalex.org/W2753758071","https://openalex.org/W2998216295","https://openalex.org/W4243587327","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4367336074","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W4393666307","https://openalex.org/W3155717344","https://openalex.org/W3210764983","https://openalex.org/W4393443811","https://openalex.org/W2811014843","https://openalex.org/W1770458422","https://openalex.org/W4367335949"],"abstract_inverted_index":{"Fundamental":[0],"challenges":[1],"faced":[2],"by":[3],"real-time":[4],"animal":[5,26],"activity":[6,198],"recognition":[7,199],"include":[8],"variation":[9],"in":[10],"motion":[11],"data":[12,111,133],"due":[13],"to":[14,42,72,147],"changing":[15],"sensor":[16,148],"orientations,":[17],"numerous":[18],"features,":[19],"and":[20,22,40,76,98,134,150,196],"energy":[21],"processing":[23],"constraints":[24],"of":[25,63,118,165,180],"tags.":[27],"This":[28,190],"paper":[29],"aims":[30],"at":[31],"finding":[32],"small":[33],"optimal":[34,174],"feature":[35,54,96,101,161,175],"sets":[36,102],"that":[37,124,142],"are":[38,56,60,70,84,103],"lightweight":[39,137],"robust":[41,146,197],"the":[43,66,82,116,143],"sensor's":[44],"orientation.":[45,64],"Our":[46],"approach":[47],"comprises":[48],"four":[49],"main":[50],"steps.":[51],"First,":[52],"3D":[53],"vectors":[55],"selected":[57,86],"since":[58],"they":[59],"theoretically":[61],"independent":[62],"Second,":[65],"least":[67],"interesting":[68],"features":[69,83,93],"suppressed":[71],"speed":[73],"up":[74],"computation":[75],"increase":[77],"robustness":[78],"against":[79],"overfitting.":[80],"Third,":[81],"further":[85],"through":[87,94,105,112],"an":[88,163,178],"embedded":[89],"method,":[90],"which":[91],"selects":[92],"simultaneous":[95],"selection":[97],"classification.":[99],"Finally,":[100],"optimized":[104],"10-fold":[106],"cross-validation.":[107],"We":[108],"collected":[109],"real-world":[110],"multiple":[113],"sensors":[114],"around":[115],"neck":[117],"five":[119],"goats.":[120],"The":[121],"results":[122],"show":[123,141],"activities":[125],"can":[126],"be":[127],"accurately":[128],"recognized":[129],"using":[130,157],"only":[131,158],"accelerometer":[132],"a":[135,159],"few":[136],"features.":[138],"Additionally,":[139],"we":[140],"performance":[144],"is":[145],"orientation":[149],"position.":[151],"A":[152],"simple":[153],"Naive":[154],"Bayes":[155],"classifier":[156],"single":[160],"achieved":[162],"accuracy":[164,183],"94":[166,181],"%":[167,182],"with":[168,186],"our":[169,173],"empirical":[170],"dataset.":[171],"Moreover,":[172],"set":[176],"yielded":[177],"average":[179],"when":[184],"applied":[185],"six":[187],"other":[188],"classifiers.":[189],"work":[191],"supports":[192],"embedded,":[193],"real-time,":[194],"energy-efficient,":[195],"for":[200],"animals.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}