{"id":"https://openalex.org/W4390702213","doi":"https://doi.org/10.3390/rs16020266","title":"Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images","display_name":"Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images","publication_year":2024,"publication_date":"2024-01-10","ids":{"openalex":"https://openalex.org/W4390702213","doi":"https://doi.org/10.3390/rs16020266"},"language":"en","primary_location":{"id":"doi:10.3390/rs16020266","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020266","pdf_url":"https://www.mdpi.com/2072-4292/16/2/266/pdf?version=1704866169","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/2/266/pdf?version=1704866169","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090942926","display_name":"Daniel Ochs","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Daniel Ochs","raw_affiliation_strings":["Computer Science Department, Technische Universit\u00e4t Darmstadt, 64289 Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Technische Universit\u00e4t Darmstadt, 64289 Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038596512","display_name":"Karsten Wiertz","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154384","display_name":"Facility for Antiproton and Ion Research","ror":"https://ror.org/053veeq82","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210154384"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Karsten Wiertz","raw_affiliation_strings":["SuperVision Earth GmbH, 64293 Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"SuperVision Earth GmbH, 64293 Darmstadt, Germany","institution_ids":["https://openalex.org/I4210154384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053738141","display_name":"Sebastian Bu\u00dfmann","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154384","display_name":"Facility for Antiproton and Ion Research","ror":"https://ror.org/053veeq82","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210154384"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Bu\u00dfmann","raw_affiliation_strings":["SuperVision Earth GmbH, 64293 Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"SuperVision Earth GmbH, 64293 Darmstadt, Germany","institution_ids":["https://openalex.org/I4210154384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037636074","display_name":"Kristian Kersting","orcid":"https://orcid.org/0000-0002-2873-9152"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]},{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]},{"id":"https://openalex.org/I4210125013","display_name":"Hessian Agency for Nature Conservation, Environment and Geology","ror":"https://ror.org/02y05ge92","country_code":"DE","type":"government","lineage":["https://openalex.org/I4210125013"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kristian Kersting","raw_affiliation_strings":["Centre for Cognitive Science, Technische Universit\u00e4t Darmstadt, 64289 Darmstadt, Germany","Computer Science Department, Technische Universit\u00e4t Darmstadt, 64289 Darmstadt, Germany","German Center for Artificial Intelligence (DFKI), 64289 Darmstadt, Germany","Hessian Center for AI (hessian.AI), 64289 Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Centre for Cognitive Science, Technische Universit\u00e4t Darmstadt, 64289 Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]},{"raw_affiliation_string":"Computer Science Department, Technische Universit\u00e4t Darmstadt, 64289 Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]},{"raw_affiliation_string":"German Center for Artificial Intelligence (DFKI), 64289 Darmstadt, Germany","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"Hessian Center for AI (hessian.AI), 64289 Darmstadt, Germany","institution_ids":["https://openalex.org/I4210125013"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029345613","display_name":"Devendra Singh Dhami","orcid":"https://orcid.org/0000-0002-4331-7193"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]},{"id":"https://openalex.org/I4210125013","display_name":"Hessian Agency for Nature Conservation, Environment and Geology","ror":"https://ror.org/02y05ge92","country_code":"DE","type":"government","lineage":["https://openalex.org/I4210125013"]}],"countries":["DE","NL"],"is_corresponding":false,"raw_author_name":"Devendra Singh Dhami","raw_affiliation_strings":["Department of Mathematics and Computer Science, Eindhoven University of Technology, 5612AZ Eindhoven, The Netherlands","Hessian Center for AI (hessian.AI), 64289 Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Eindhoven University of Technology, 5612AZ Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"Hessian Center for AI (hessian.AI), 64289 Darmstadt, Germany","institution_ids":["https://openalex.org/I4210125013"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5090942926"],"corresponding_institution_ids":["https://openalex.org/I31512782"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.3143,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54469274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"16","issue":"2","first_page":"266","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.972000002861023,"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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9186999797821045,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.7363672852516174},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7117589712142944},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6414405703544617},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5247616767883301},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4500846266746521},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3808603882789612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3451279401779175},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.2511654496192932},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0772814154624939}],"concepts":[{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.7363672852516174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7117589712142944},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6414405703544617},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5247616767883301},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4500846266746521},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3808603882789612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3451279401779175},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.2511654496192932},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0772814154624939},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/rs16020266","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020266","pdf_url":"https://www.mdpi.com/2072-4292/16/2/266/pdf?version=1704866169","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/e2c006fc-676b-40a7-9a74-26a76d99f2d6","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/e2c006fc-676b-40a7-9a74-26a76d99f2d6","pdf_url":"https://pure.tue.nl/ws/files/338082951/remotesensing-16-00266.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ochs, D, Wiertz, K, Bu\u00dfmann, S, Kersting, K & Dhami, D S 2024, 'Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images', Remote Sensing, vol. 16, no. 2, 266. https://doi.org/10.3390/rs16020266","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:7a4c259990f443838dda31a64656ad40","is_oa":true,"landing_page_url":"https://doaj.org/article/7a4c259990f443838dda31a64656ad40","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":"Remote Sensing, Vol 16, Iss 2, p 266 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/16/2/266/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs16020266","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":"Remote Sensing","raw_type":"Text"},{"id":"pmh:oai:pure.tue.nl:openaire/e2c006fc-676b-40a7-9a74-26a76d99f2d6","is_oa":true,"landing_page_url":"https://research.tue.nl/files/338082951/remotesensing-16-00266.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ochs, D, Wiertz, K, Bu\u00dfmann, S, Kersting, K & Dhami, D S 2024, 'Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images', Remote Sensing, vol. 16, no. 2, 266. https://doi.org/10.3390/rs16020266","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:145310","is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/145310/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Artikel"}],"best_oa_location":{"id":"doi:10.3390/rs16020266","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16020266","pdf_url":"https://www.mdpi.com/2072-4292/16/2/266/pdf?version=1704866169","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G5168466499","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G7225624288","display_name":null,"funder_award_id":"This work was","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390702213.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2000454085","https://openalex.org/W2150765998","https://openalex.org/W2891248708","https://openalex.org/W2896365540","https://openalex.org/W2921442714","https://openalex.org/W2940726923","https://openalex.org/W2943287822","https://openalex.org/W2979826702","https://openalex.org/W2996554203","https://openalex.org/W3019171890","https://openalex.org/W3022043513","https://openalex.org/W3027225766","https://openalex.org/W3035483468","https://openalex.org/W3036453075","https://openalex.org/W3037640242","https://openalex.org/W3120467244","https://openalex.org/W3121813536","https://openalex.org/W3176330035","https://openalex.org/W3186032668","https://openalex.org/W3217004489","https://openalex.org/W4226228401","https://openalex.org/W4229373348","https://openalex.org/W4297200631","https://openalex.org/W4307296862","https://openalex.org/W4311849222","https://openalex.org/W4312091199","https://openalex.org/W4312549298","https://openalex.org/W4312979490","https://openalex.org/W4362519158","https://openalex.org/W4367598041","https://openalex.org/W6739901393","https://openalex.org/W6797500923","https://openalex.org/W6799693294","https://openalex.org/W6804454326","https://openalex.org/W6811007873","https://openalex.org/W6843114532"],"related_works":["https://openalex.org/W4380433113","https://openalex.org/W4386072068","https://openalex.org/W252339960","https://openalex.org/W2390529043","https://openalex.org/W2378320433","https://openalex.org/W2358343511","https://openalex.org/W2051877971","https://openalex.org/W1970117064","https://openalex.org/W1787170397","https://openalex.org/W4292347844"],"abstract_inverted_index":{"Natural":[0],"gas":[1],"pipelines":[2,174],"represent":[3],"a":[4,54,69,151,191,202],"critical":[5],"infrastructure":[6],"for":[7,92,194],"most":[8],"countries":[9],"and":[10,32,40,114,175,220],"thus":[11,88],"their":[12],"safety":[13],"is":[14,120],"of":[15,56,76,124,208],"paramount":[16],"importance.":[17],"To":[18,138],"report":[19],"potential":[20,51],"risks":[21,170],"along":[22],"pipelines,":[23],"several":[24],"steps":[25],"are":[26,38,43],"taken":[27],"such":[28],"as":[29,61],"manual":[30],"inspection":[31],"helicopter":[33],"flights;":[34],"however,":[35],"these":[36],"solutions":[37],"expensive":[39],"the":[41,73,79,90,121,128,173,180,198,213,223],"flights":[42],"environmentally":[44],"unfriendly.":[45],"Deep":[46],"learning":[47],"has":[48],"demonstrated":[49],"considerable":[50],"in":[52,58,102,150,217],"handling":[53],"number":[55,75],"tasks":[57],"recent":[59],"years":[60],"models":[62],"rely":[63],"on":[64],"huge":[65],"datasets":[66],"to":[67,134,143,155],"learn":[68],"specific":[70,214],"task.":[71],"With":[72],"increasing":[74],"satellites":[77],"orbiting":[78],"Earth,":[80],"remote":[81],"sensing":[82],"data":[83],"have":[84],"become":[85],"widely":[86],"available,":[87],"paving":[89],"way":[91],"automated":[93],"pipeline":[94,157,218],"monitoring":[95,108,219],"via":[96],"deep":[97],"learning.":[98],"This":[99],"can":[100,226],"result":[101],"effective":[103],"risk":[104],"detection,":[105,196],"thereby":[106],"reducing":[107],"costs":[109],"while":[110],"being":[111],"more":[112],"precise":[113],"accurate.":[115],"A":[116],"major":[117],"hindrance":[118],"here":[119],"low":[122],"resolution":[123],"images":[125,149],"obtained":[126],"from":[127],"satellites,":[129],"which":[130,189],"makes":[131],"it":[132],"difficult":[133],"detect":[135,156],"smaller":[136],"changes.":[137],"this":[139],"end,":[140],"we":[141,178,183,211],"propose":[142],"use":[144],"transformers":[145],"trained":[146],"with":[147,172,201],"low-resolution":[148],"change":[152,195],"detection":[153],"setting":[154],"risks.":[158],"We":[159],"collect":[160],"PlanetScope":[161],"satellite":[162],"imagery":[163],"(3":[164],"m":[165],"resolution)":[166],"that":[167],"captures":[168],"certain":[169],"associated":[171],"present":[176],"how":[177,222],"collected":[179],"data.":[181],"Furthermore,":[182],"compare":[184],"various":[185],"state-of-the-art":[186],"models,":[187],"among":[188],"ChangeFormer,":[190],"transformer":[192],"architecture":[193],"achieves":[197],"best":[199],"performance":[200,215],"70%":[203],"F1":[204],"score.":[205],"As":[206],"part":[207],"our":[209],"evaluation,":[210],"discuss":[212],"requirements":[216],"show":[221],"model\u2019s":[224],"predictions":[225],"be":[227],"shifted":[228],"accordingly":[229],"during":[230],"training.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
