{"id":"https://openalex.org/W3091771023","doi":"https://doi.org/10.3390/rs12193258","title":"Deep Learning in Hyperspectral Image Reconstruction from Single RGB images\u2014A Case Study on Tomato Quality Parameters","display_name":"Deep Learning in Hyperspectral Image Reconstruction from Single RGB images\u2014A Case Study on Tomato Quality Parameters","publication_year":2020,"publication_date":"2020-10-07","ids":{"openalex":"https://openalex.org/W3091771023","doi":"https://doi.org/10.3390/rs12193258","mag":"3091771023"},"language":"en","primary_location":{"id":"doi:10.3390/rs12193258","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12193258","pdf_url":"https://www.mdpi.com/2072-4292/12/19/3258/pdf?version=1602296165","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/2072-4292/12/19/3258/pdf?version=1602296165","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006016100","display_name":"Jiangsan Zhao","orcid":"https://orcid.org/0000-0003-3916-7388"},"institutions":[{"id":"https://openalex.org/I4210143403","display_name":"Norwegian Institute of Bioeconomy Research","ror":"https://ror.org/04aah1z61","country_code":"NO","type":"funder","lineage":["https://openalex.org/I4210143403"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Jiangsan Zhao","raw_affiliation_strings":["NIBIO\u2014Norwegian Institute of Bioeconomy Research, P.O. Box 115, N-1431 \u00c5s, Norway"],"raw_orcid":"https://orcid.org/0000-0003-3916-7388","affiliations":[{"raw_affiliation_string":"NIBIO\u2014Norwegian Institute of Bioeconomy Research, P.O. Box 115, N-1431 \u00c5s, Norway","institution_ids":["https://openalex.org/I4210143403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000868743","display_name":"Dmitry Kechasov","orcid":"https://orcid.org/0000-0003-0981-1128"},"institutions":[{"id":"https://openalex.org/I4210143403","display_name":"Norwegian Institute of Bioeconomy Research","ror":"https://ror.org/04aah1z61","country_code":"NO","type":"funder","lineage":["https://openalex.org/I4210143403"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Dmitry Kechasov","raw_affiliation_strings":["Norwegian Institute of Bioeconomy Research, Postvegen 213, S\u00e6rheim, N-4353 Klepp Station, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Norwegian Institute of Bioeconomy Research, Postvegen 213, S\u00e6rheim, N-4353 Klepp Station, Norway","institution_ids":["https://openalex.org/I4210143403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046428562","display_name":"Boris Rewald","orcid":"https://orcid.org/0000-0001-8098-0616"},"institutions":[{"id":"https://openalex.org/I92869138","display_name":"BOKU University","ror":"https://ror.org/057ff4y42","country_code":"AT","type":"education","lineage":["https://openalex.org/I92869138"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Boris Rewald","raw_affiliation_strings":["Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences, 1190 Vienna, Austria"],"raw_orcid":"https://orcid.org/0000-0001-8098-0616","affiliations":[{"raw_affiliation_string":"Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences, 1190 Vienna, Austria","institution_ids":["https://openalex.org/I92869138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051932079","display_name":"Gernot Bodner","orcid":"https://orcid.org/0000-0001-9813-1364"},"institutions":[{"id":"https://openalex.org/I92869138","display_name":"BOKU University","ror":"https://ror.org/057ff4y42","country_code":"AT","type":"education","lineage":["https://openalex.org/I92869138"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Gernot Bodner","raw_affiliation_strings":["Division of Agronomy, Department of Crop Sciences, University of Natural Resources and Life Sciences, Konrad Lorenz-Stra\u00dfe 24, 3430 Tulln an der Donau, Austria"],"raw_orcid":"https://orcid.org/0000-0001-9813-1364","affiliations":[{"raw_affiliation_string":"Division of Agronomy, Department of Crop Sciences, University of Natural Resources and Life Sciences, Konrad Lorenz-Stra\u00dfe 24, 3430 Tulln an der Donau, Austria","institution_ids":["https://openalex.org/I92869138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018113921","display_name":"Michel Verheul","orcid":"https://orcid.org/0000-0001-6425-7014"},"institutions":[{"id":"https://openalex.org/I4210143403","display_name":"Norwegian Institute of Bioeconomy Research","ror":"https://ror.org/04aah1z61","country_code":"NO","type":"funder","lineage":["https://openalex.org/I4210143403"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Michel Verheul","raw_affiliation_strings":["Norwegian Institute of Bioeconomy Research, Postvegen 213, S\u00e6rheim, N-4353 Klepp Station, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Norwegian Institute of Bioeconomy Research, Postvegen 213, S\u00e6rheim, N-4353 Klepp Station, Norway","institution_ids":["https://openalex.org/I4210143403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059883834","display_name":"Nicholas Clarke","orcid":"https://orcid.org/0000-0002-1588-9661"},"institutions":[{"id":"https://openalex.org/I4210143403","display_name":"Norwegian Institute of Bioeconomy Research","ror":"https://ror.org/04aah1z61","country_code":"NO","type":"funder","lineage":["https://openalex.org/I4210143403"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Nicholas Clarke","raw_affiliation_strings":["NIBIO\u2014Norwegian Institute of Bioeconomy Research, P.O. Box 115, N-1431 \u00c5s, Norway"],"raw_orcid":"https://orcid.org/0000-0002-1588-9661","affiliations":[{"raw_affiliation_string":"NIBIO\u2014Norwegian Institute of Bioeconomy Research, P.O. Box 115, N-1431 \u00c5s, Norway","institution_ids":["https://openalex.org/I4210143403"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037098569","display_name":"Jihong Liu Clarke","orcid":"https://orcid.org/0000-0002-4924-0406"},"institutions":[{"id":"https://openalex.org/I4210143403","display_name":"Norwegian Institute of Bioeconomy Research","ror":"https://ror.org/04aah1z61","country_code":"NO","type":"funder","lineage":["https://openalex.org/I4210143403"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Jihong Liu Clarke","raw_affiliation_strings":["NIBIO\u2014Norwegian Institute of Bioeconomy Research, P.O. Box 115, N-1431 \u00c5s, Norway"],"raw_orcid":"https://orcid.org/0000-0002-4924-0406","affiliations":[{"raw_affiliation_string":"NIBIO\u2014Norwegian Institute of Bioeconomy Research, P.O. Box 115, N-1431 \u00c5s, Norway","institution_ids":["https://openalex.org/I4210143403"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006016100"],"corresponding_institution_ids":["https://openalex.org/I4210143403"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":1.9551,"has_fulltext":true,"cited_by_count":64,"citation_normalized_percentile":{"value":0.8437247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"12","issue":"19","first_page":"3258","last_page":"3258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9693999886512756,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T10616","display_name":"Smart Agriculture and AI","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9524711966514587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7053812742233276},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.686115026473999},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5406287908554077},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5267830491065979},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4977869987487793},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49075230956077576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47202080488204956},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.45020902156829834},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4304119944572449},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.42904385924339294},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39926278591156006},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.347938597202301},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3302098214626312},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11058393120765686},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10071402788162231}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9524711966514587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7053812742233276},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.686115026473999},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5406287908554077},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5267830491065979},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4977869987487793},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49075230956077576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47202080488204956},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.45020902156829834},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4304119944572449},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.42904385924339294},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39926278591156006},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.347938597202301},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3302098214626312},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11058393120765686},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10071402788162231},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs12193258","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12193258","pdf_url":"https://www.mdpi.com/2072-4292/12/19/3258/pdf?version=1602296165","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:doaj.org/article:2cc990035a8a4eaca5f7925cf8835b8d","is_oa":true,"landing_page_url":"https://doaj.org/article/2cc990035a8a4eaca5f7925cf8835b8d","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":"Remote Sensing, Vol 12, Iss 19, p 3258 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/19/3258/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12193258","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:nibio.brage.unit.no:11250/2725210","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/2725210","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"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":"14","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/rs12193258","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12193258","pdf_url":"https://www.mdpi.com/2072-4292/12/19/3258/pdf?version=1602296165","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":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3091771023.pdf","grobid_xml":"https://content.openalex.org/works/W3091771023.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1967140713","https://openalex.org/W1969861171","https://openalex.org/W1981883640","https://openalex.org/W1984864470","https://openalex.org/W1989704018","https://openalex.org/W2010922970","https://openalex.org/W2044109926","https://openalex.org/W2064352738","https://openalex.org/W2065084513","https://openalex.org/W2065623357","https://openalex.org/W2087937525","https://openalex.org/W2092171609","https://openalex.org/W2110764733","https://openalex.org/W2119806219","https://openalex.org/W2141404135","https://openalex.org/W2185297903","https://openalex.org/W2186222003","https://openalex.org/W2290830651","https://openalex.org/W2313074111","https://openalex.org/W2408154333","https://openalex.org/W2533924129","https://openalex.org/W2585868769","https://openalex.org/W2621175972","https://openalex.org/W2731343080","https://openalex.org/W2744476725","https://openalex.org/W2752783566","https://openalex.org/W2758810255","https://openalex.org/W2761454899","https://openalex.org/W2766048600","https://openalex.org/W2766101120","https://openalex.org/W2790299667","https://openalex.org/W2790739169","https://openalex.org/W2798895617","https://openalex.org/W2799767570","https://openalex.org/W2802944850","https://openalex.org/W2884877436","https://openalex.org/W2893739000","https://openalex.org/W2895667927","https://openalex.org/W2909669418","https://openalex.org/W2912744944","https://openalex.org/W2922395231","https://openalex.org/W2923379105","https://openalex.org/W2944248482","https://openalex.org/W2953907326","https://openalex.org/W2963351448","https://openalex.org/W2967703797","https://openalex.org/W2969933026","https://openalex.org/W2989752953","https://openalex.org/W4301516930","https://openalex.org/W6687483927","https://openalex.org/W6761245051"],"related_works":["https://openalex.org/W2901421464","https://openalex.org/W2932657337","https://openalex.org/W3102673927","https://openalex.org/W2327954668","https://openalex.org/W2757389719","https://openalex.org/W2951714568","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W1988158806","https://openalex.org/W2507293823"],"abstract_inverted_index":{"Hyperspectral":[0,27,81],"imaging":[1],"has":[2],"many":[3],"applications.":[4],"However,":[5],"the":[6,54,108,144,160,163],"high":[7,135,168],"device":[8],"costs":[9],"and":[10,24,51,72,118,134],"low":[11],"hyperspectral":[12,147,165],"image":[13,28,34,148],"resolution":[14],"are":[15],"major":[16],"obstacles":[17],"limiting":[18],"its":[19],"wider":[20],"application":[21],"in":[22,137,167,175],"agriculture":[23,176],"other":[25],"fields.":[26],"reconstruction":[29,149],"from":[30,65,86,150],"a":[31,78,93],"single":[32,87,151],"RGB":[33,89,152],"fully":[35],"addresses":[36],"these":[37],"two":[38],"problems.":[39],"The":[40,96],"robust":[41],"HSCNN-R":[42],"model":[43],"with":[44,67,129],"mean":[45],"relative":[46],"absolute":[47],"error":[48],"loss":[49,70],"function":[50],"evaluated":[52],"by":[53,92],"Mean":[55],"Relative":[56],"Absolute":[57],"Error":[58],"metric":[59],"was":[60],"selected":[61],"through":[62],"permutation":[63],"tests":[64],"models":[66],"combinations":[68],"of":[69,110,146,162],"functions":[71],"evaluation":[73],"metrics,":[74],"using":[75],"tomato":[76,88,103],"as":[77,107],"case":[79],"study.":[80],"images":[82,90,98,153],"were":[83,99],"subsequently":[84],"reconstructed":[85,97],"taken":[91],"smartphone":[94],"camera.":[95],"used":[100],"to":[101,114],"predict":[102],"quality":[104,156],"properties":[105,166],"such":[106],"ratio":[109],"soluble":[111],"solid":[112],"content":[113],"total":[115],"titratable":[116],"acidity":[117],"normalized":[119],"anthocyanin":[120],"index.":[121],"Both":[122],"predicted":[123],"parameters":[124],"showed":[125,143],"very":[126],"good":[127],"agreement":[128],"corresponding":[130],"\u201cground":[131],"truth\u201d":[132],"values":[133],"significance":[136],"an":[138],"F":[139],"test.":[140],"This":[141],"study":[142],"suitability":[145],"for":[154],"fruit":[155],"control":[157],"purposes,":[158],"underpinning":[159],"potential":[161],"technology\u2014recovering":[164],"resolution\u2014for":[169],"real-world,":[170],"real":[171],"time":[172],"monitoring":[173],"applications":[174],"any":[177],"beyond.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}