{"id":"https://openalex.org/W4362585219","doi":"https://doi.org/10.3390/rs15071916","title":"Deep Learning-Based Framework for Soil Moisture Content Retrieval of Bare Soil from Satellite Data","display_name":"Deep Learning-Based Framework for Soil Moisture Content Retrieval of Bare Soil from Satellite Data","publication_year":2023,"publication_date":"2023-04-03","ids":{"openalex":"https://openalex.org/W4362585219","doi":"https://doi.org/10.3390/rs15071916"},"language":"en","primary_location":{"id":"doi:10.3390/rs15071916","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15071916","pdf_url":"https://www.mdpi.com/2072-4292/15/7/1916/pdf?version=1680588057","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/2072-4292/15/7/1916/pdf?version=1680588057","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038173862","display_name":"Mohammed Dabboor","orcid":"https://orcid.org/0000-0003-3486-9890"},"institutions":[{"id":"https://openalex.org/I1342547582","display_name":"Environment and Climate Change Canada","ror":"https://ror.org/026ny0e17","country_code":"CA","type":"government","lineage":["https://openalex.org/I1342547582","https://openalex.org/I2802286613"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohammed Dabboor","raw_affiliation_strings":["Science and Technology Branch, Environment and Climate Change Canada, Dorval, QC H9P 1J3, Canada"],"affiliations":[{"raw_affiliation_string":"Science and Technology Branch, Environment and Climate Change Canada, Dorval, QC H9P 1J3, Canada","institution_ids":["https://openalex.org/I1342547582"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068165294","display_name":"Ghada Atteia","orcid":"https://orcid.org/0000-0002-5462-595X"},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Ghada Atteia","raw_affiliation_strings":["Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084412445","display_name":"Souham Meshoul","orcid":"https://orcid.org/0000-0002-9072-5878"},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Souham Meshoul","raw_affiliation_strings":["Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076216740","display_name":"Walaa Alayed","orcid":"https://orcid.org/0000-0001-9968-8439"},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Walaa Alayed","raw_affiliation_strings":["Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068165294"],"corresponding_institution_ids":["https://openalex.org/I106778892"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.2494,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92040244,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"15","issue":"7","first_page":"1916","last_page":"1916"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10716","display_name":"Soil and Unsaturated Flow","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/computer-science","display_name":"Computer science","score":0.6822459101676941},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6213349103927612},{"id":"https://openalex.org/keywords/water-content","display_name":"Water content","score":0.5597657561302185},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5417658686637878},{"id":"https://openalex.org/keywords/ground-penetrating-radar","display_name":"Ground-penetrating radar","score":0.5134640336036682},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5121912360191345},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4835607707500458},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.48156145215034485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4798838198184967},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4736272692680359},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.4641752243041992},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.45054730772972107},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4465772211551666},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.4174732565879822},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39697209000587463},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.37218785285949707},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36921802163124084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3514806032180786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11674562096595764},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11629027128219604},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08989223837852478}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6822459101676941},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6213349103927612},{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.5597657561302185},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5417658686637878},{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.5134640336036682},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5121912360191345},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4835607707500458},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.48156145215034485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4798838198184967},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4736272692680359},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.4641752243041992},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.45054730772972107},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4465772211551666},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.4174732565879822},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39697209000587463},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.37218785285949707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36921802163124084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3514806032180786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11674562096595764},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11629027128219604},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08989223837852478},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15071916","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15071916","pdf_url":"https://www.mdpi.com/2072-4292/15/7/1916/pdf?version=1680588057","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:a1d1edb39fe34ff6bfaa441a1135e415","is_oa":true,"landing_page_url":"https://doaj.org/article/a1d1edb39fe34ff6bfaa441a1135e415","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 15, Iss 7, p 1916 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/7/1916/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15071916","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; Volume 15; Issue 7; Pages: 1916","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15071916","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15071916","pdf_url":"https://www.mdpi.com/2072-4292/15/7/1916/pdf?version=1680588057","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":"Life in Land","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G1762585179","display_name":null,"funder_award_id":"PNURSP2023R1","funder_id":"https://openalex.org/F4320322484","funder_display_name":"Princess Nourah Bint Abdulrahman University"},{"id":"https://openalex.org/G2053653470","display_name":null,"funder_award_id":"PNURSP","funder_id":"https://openalex.org/F4320322484","funder_display_name":"Princess Nourah Bint Abdulrahman University"},{"id":"https://openalex.org/G2284128400","display_name":null,"funder_award_id":"PNURSP2023R19","funder_id":"https://openalex.org/F4320322484","funder_display_name":"Princess Nourah Bint Abdulrahman University"},{"id":"https://openalex.org/G2893605509","display_name":null,"funder_award_id":"Saudi Arabia.","funder_id":"https://openalex.org/F4320322484","funder_display_name":"Princess Nourah Bint Abdulrahman University"},{"id":"https://openalex.org/G4010074732","display_name":null,"funder_award_id":"Riyadh","funder_id":"https://openalex.org/F4320322484","funder_display_name":"Princess Nourah Bint Abdulrahman University"},{"id":"https://openalex.org/G6772716045","display_name":null,"funder_award_id":"PNURSP2023","funder_id":"https://openalex.org/F4320322484","funder_display_name":"Princess Nourah Bint Abdulrahman University"},{"id":"https://openalex.org/G867838953","display_name":null,"funder_award_id":"PNURSP2023R196","funder_id":"https://openalex.org/F4320322484","funder_display_name":"Princess Nourah Bint Abdulrahman University"}],"funders":[{"id":"https://openalex.org/F4320319880","display_name":"Government of Canada","ror":"https://ror.org/010q4q527"},{"id":"https://openalex.org/F4320322484","display_name":"Princess Nourah Bint Abdulrahman University","ror":"https://ror.org/05b0cyh02"},{"id":"https://openalex.org/F4320325263","display_name":"Environment and Climate Change Canada","ror":"https://ror.org/026ny0e17"},{"id":"https://openalex.org/F4320334436","display_name":"Canadian Space Agency","ror":"https://ror.org/03a1gte98"},{"id":"https://openalex.org/F4320334595","display_name":"Agriculture and Agri-Food Canada","ror":"https://ror.org/051dzs374"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362585219.pdf"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W2003962096","https://openalex.org/W2020097894","https://openalex.org/W2105464873","https://openalex.org/W2218047931","https://openalex.org/W2728567680","https://openalex.org/W2767689241","https://openalex.org/W2954996726","https://openalex.org/W2982031239","https://openalex.org/W2990531785","https://openalex.org/W3015987273","https://openalex.org/W3048168082","https://openalex.org/W3095322547","https://openalex.org/W3097462304","https://openalex.org/W3108249908","https://openalex.org/W3111808594","https://openalex.org/W3111878912","https://openalex.org/W3121715254","https://openalex.org/W3135028703","https://openalex.org/W3208943037","https://openalex.org/W3208966358","https://openalex.org/W4211049957","https://openalex.org/W4220683130","https://openalex.org/W4223487889","https://openalex.org/W4226303942","https://openalex.org/W4281758358","https://openalex.org/W4288041823","https://openalex.org/W4290989080","https://openalex.org/W4304606486","https://openalex.org/W4308207216","https://openalex.org/W4311765013","https://openalex.org/W6803792605"],"related_works":["https://openalex.org/W3155731460","https://openalex.org/W2405673391","https://openalex.org/W3214139057","https://openalex.org/W2782093256","https://openalex.org/W3198858656","https://openalex.org/W4287995534","https://openalex.org/W2998168123","https://openalex.org/W2200000192","https://openalex.org/W2963474950","https://openalex.org/W3199608561"],"abstract_inverted_index":{"Machine":[0],"learning":[1,33],"(ML)":[2],"is":[3,35],"a":[4,16,36,59,72,117,126,136,200],"branch":[5],"of":[6,18,38,94,104,114,129,154,167,174],"artificial":[7],"intelligence":[8],"(AI)":[9],"that":[10,40],"has":[11],"been":[12],"successfully":[13],"applied":[14],"in":[15,102,158],"variety":[17],"remote":[19],"sensing":[20],"applications,":[21],"including":[22],"geophysical":[23],"information":[24],"retrieval":[25],"such":[26],"as":[27],"soil":[28,105],"moisture":[29,106],"content":[30],"(SMC).":[31],"Deep":[32],"(DL)":[34],"subfield":[37],"ML":[39,97,156,177],"uses":[41],"models":[42,99,157,179],"with":[43,50,180,193],"complex":[44],"structures":[45],"to":[46,109,124,160],"solve":[47],"prediction":[48,98,112,163,178,191],"problems":[49],"higher":[51],"performance":[52,93,113,173,192],"than":[53],"traditional":[54],"ML.":[55],"In":[56],"this":[57,70],"study,":[58],"framework":[60],"based":[61],"on":[62,199],"DL":[63,139],"was":[64,75,100,122,148],"developed":[65],"for":[66,141,150],"SMC":[67],"retrieval.":[68],"For":[69],"purpose,":[71],"sample":[73],"dataset":[74],"built,":[76],"which":[77],"included":[78],"synthetic":[79],"aperture":[80],"radar":[81,84],"(SAR)":[82],"backscattering,":[83],"incidence":[85],"angle,":[86],"and":[87,196],"ground":[88],"truth":[89],"data.":[90,182],"Herein,":[91],"the":[92,111,130,152,155,171,175,189],"five":[95,176],"optimized":[96],"evaluated":[101],"terms":[103],"prediction.":[107],"However,":[108],"boost":[110],"these":[115],"models,":[116],"DL-based":[118],"data":[119,142],"augmentation":[120],"technique":[121],"implemented":[123],"create":[125],"reconstructed":[127],"version":[128],"available":[131],"dataset.":[132],"This":[133],"includes":[134],"building":[135],"sparse":[137],"autoencoder":[138],"network":[140],"reconstruction.":[143],"The":[144,165,183],"Bayesian":[145],"optimization":[146],"strategy":[147],"employed":[149],"fine-tuning":[151],"hyperparameters":[153],"order":[159],"improve":[161],"their":[162],"performance.":[164],"results":[166],"our":[168],"study":[169],"highlighted":[170],"improved":[172],"augmented":[181],"Gaussian":[184],"process":[185],"regression":[186],"(GPR)":[187],"showed":[188],"best":[190],"4.05%":[194],"RMSE":[195],"0.81":[197],"R2":[198],"10%":[201],"independent":[202],"test":[203],"subset.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2023-04-06T00:00:00"}