{"id":"https://openalex.org/W7131359138","doi":"https://doi.org/10.1186/s40537-026-01368-x","title":"EcoDisasterLocNet: a sustainable AI framework for environmentally conscious classification and localization of natural disasters using deep learning","display_name":"EcoDisasterLocNet: a sustainable AI framework for environmentally conscious classification and localization of natural disasters using deep learning","publication_year":2026,"publication_date":"2026-02-25","ids":{"openalex":"https://openalex.org/W7131359138","doi":"https://doi.org/10.1186/s40537-026-01368-x"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-026-01368-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-026-01368-x","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s40537-026-01368-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126180649","display_name":"Akella S Narasimha Raju","orcid":null},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Akella S. Narasimha Raju","raw_affiliation_strings":["Department of Computing Technologies, School of Computing, College of Engineering & Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Technologies, School of Computing, College of Engineering & Technology, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603203, Tamil Nadu, India","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069155836","display_name":"S. Sreekanth","orcid":"https://orcid.org/0000-0002-9508-3210"},"institutions":[{"id":"https://openalex.org/I138535024","display_name":"Aeronautical Development Agency","ror":"https://ror.org/016d6bq56","country_code":"IN","type":"government","lineage":["https://openalex.org/I138535024"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Seelam Sreekanth","raw_affiliation_strings":["Department of Computer Science and Engineering (Data Science), Institute of Aeronautical Engineering, Dundigal, Hyderabad, 500043, Talangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering (Data Science), Institute of Aeronautical Engineering, Dundigal, Hyderabad, 500043, Talangana, India","institution_ids":["https://openalex.org/I138535024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126756322","display_name":"Seelam Pranav","orcid":null},"institutions":[{"id":"https://openalex.org/I187476118","display_name":"Saint Louis University","ror":"https://ror.org/03fkbz285","country_code":"ES","type":"education","lineage":["https://openalex.org/I187476118"]},{"id":"https://openalex.org/I47838141","display_name":"Saint Louis University","ror":"https://ror.org/01p7jjy08","country_code":"US","type":"education","lineage":["https://openalex.org/I47838141"]}],"countries":["ES","US"],"is_corresponding":false,"raw_author_name":"Seelam Pranav","raw_affiliation_strings":["Department of Information Systems, Saint Louis University, Saint Louis, 63108, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Saint Louis University, Saint Louis, 63108, MO, USA","institution_ids":["https://openalex.org/I47838141","https://openalex.org/I187476118"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063313889","display_name":"Ranjith Kumar Gatla","orcid":"https://orcid.org/0000-0003-2154-3285"},"institutions":[{"id":"https://openalex.org/I138535024","display_name":"Aeronautical Development Agency","ror":"https://ror.org/016d6bq56","country_code":"IN","type":"government","lineage":["https://openalex.org/I138535024"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ranjith Kumar Gatla","raw_affiliation_strings":["Department of Computer Science and Engineering (Data Science), Institute of Aeronautical Engineering, Dundigal, Hyderabad, 500043, Talangana, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering (Data Science), Institute of Aeronautical Engineering, Dundigal, Hyderabad, 500043, Talangana, India","institution_ids":["https://openalex.org/I138535024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126774525","display_name":"R. S. V. V. Prasada Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145126","display_name":"Aditya Birla (India)","ror":"https://ror.org/03pztks36","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210145126"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. S. V. V. Prasada Rao","raw_affiliation_strings":["Department of Computer Science and Engineering (Data Science & AIML), Aditya University, Surampalem, 533437, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering (Data Science & AIML), Aditya University, Surampalem, 533437, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4210145126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088376867","display_name":"Mohammad Alsharef","orcid":null},"institutions":[{"id":"https://openalex.org/I179331831","display_name":"Taif University","ror":"https://ror.org/014g1a453","country_code":"SA","type":"education","lineage":["https://openalex.org/I179331831"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohammad Alsharef","raw_affiliation_strings":["Department of Electrical Engineering, College of Engineering, Taif University, Taif, 21944, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, College of Engineering, Taif University, Taif, 21944, Saudi Arabia","institution_ids":["https://openalex.org/I179331831"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126757867","display_name":"Mohammad Ghatasheh","orcid":null},"institutions":[{"id":"https://openalex.org/I91633459","display_name":"Middle East University","ror":"https://ror.org/059bgad73","country_code":"JO","type":"education","lineage":["https://openalex.org/I91633459"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Mohammad Ghatasheh","raw_affiliation_strings":["Department of Basic Sciences, Middle East University, Amman, 11831, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Basic Sciences, Middle East University, Amman, 11831, Jordan","institution_ids":["https://openalex.org/I91633459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122351535","display_name":"Aymen Flah","orcid":null},"institutions":[{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]},{"id":"https://openalex.org/I146367977","display_name":"Applied Science Private University","ror":"https://ror.org/01ah6nb52","country_code":"JO","type":"education","lineage":["https://openalex.org/I146367977"]},{"id":"https://openalex.org/I172780181","display_name":"University of the Punjab","ror":"https://ror.org/011maz450","country_code":"PK","type":"education","lineage":["https://openalex.org/I172780181"]},{"id":"https://openalex.org/I74319210","display_name":"Chitkara University","ror":"https://ror.org/057d6z539","country_code":"IN","type":"education","lineage":["https://openalex.org/I74319210"]}],"countries":["CZ","IN","JO","PK"],"is_corresponding":true,"raw_author_name":"Aymen Flah","raw_affiliation_strings":["Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan","Centre for Research Impact and Outcome, Chitkara University, Punjab University, Punjab, , 140401, Rajpura, India","ENET Centre, VSB-Technical University of Ostrava, Ostrava, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan","institution_ids":["https://openalex.org/I146367977"]},{"raw_affiliation_string":"Centre for Research Impact and Outcome, Chitkara University, Punjab University, Punjab, , 140401, Rajpura, India","institution_ids":["https://openalex.org/I74319210","https://openalex.org/I172780181"]},{"raw_affiliation_string":"ENET Centre, VSB-Technical University of Ostrava, Ostrava, Czech Republic","institution_ids":["https://openalex.org/I142208455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008893419","display_name":"Tamer Mekkawy","orcid":"https://orcid.org/0000-0001-6537-8096"},"institutions":[{"id":"https://openalex.org/I4210100308","display_name":"Military Technical College","ror":"https://ror.org/01337pb37","country_code":"EG","type":"education","lineage":["https://openalex.org/I4210100308"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Tamer Mekkawy","raw_affiliation_strings":["Avionics Department, Military Technical College, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Avionics Department, Military Technical College, Cairo, Egypt","institution_ids":["https://openalex.org/I4210100308"]}]}],"institutions":[],"countries_distinct_count":8,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5122351535","https://openalex.org/A5126180649"],"corresponding_institution_ids":["https://openalex.org/I142208455","https://openalex.org/I145286018","https://openalex.org/I146367977","https://openalex.org/I172780181","https://openalex.org/I74319210"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25256821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.1396999955177307,"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"}},"topics":[{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.1396999955177307,"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"}},{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.13580000400543213,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.058400001376867294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6590999960899353},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5781999826431274},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.49900001287460327},{"id":"https://openalex.org/keywords/natural-disaster","display_name":"Natural disaster","score":0.44699999690055847},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.4262999892234802},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.414000004529953},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.32589998841285706},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.31839999556541443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8210999965667725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7042999863624573},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6590999960899353},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5781999826431274},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.49900001287460327},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4885999858379364},{"id":"https://openalex.org/C166566181","wikidata":"https://www.wikidata.org/wiki/Q8065","display_name":"Natural disaster","level":2,"score":0.44699999690055847},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.4262999892234802},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.414000004529953},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.29760000109672546},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.28850001096725464},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2851000130176544},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-026-01368-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-026-01368-x","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b1e9b605baee4e528bd9187095ada00c","is_oa":true,"landing_page_url":"https://doaj.org/article/b1e9b605baee4e528bd9187095ada00c","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":"Journal of Big Data, Vol 13, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-026-01368-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-026-01368-x","pdf_url":null,"source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2765793020","https://openalex.org/W2962858109","https://openalex.org/W2963446712","https://openalex.org/W2964350391","https://openalex.org/W2981078235","https://openalex.org/W3119880283","https://openalex.org/W3131333586","https://openalex.org/W3133291842","https://openalex.org/W3166374120","https://openalex.org/W3166747181","https://openalex.org/W3171873561","https://openalex.org/W3180427925","https://openalex.org/W3199303234","https://openalex.org/W4220899556","https://openalex.org/W4224231871","https://openalex.org/W4226323522","https://openalex.org/W4285124513","https://openalex.org/W4289793688","https://openalex.org/W4299429633","https://openalex.org/W4308701586","https://openalex.org/W4364304230","https://openalex.org/W4380142931","https://openalex.org/W4381165370","https://openalex.org/W4385819663","https://openalex.org/W4386697801","https://openalex.org/W4390342171","https://openalex.org/W4390694478","https://openalex.org/W4393407115","https://openalex.org/W4395025796","https://openalex.org/W4400525816","https://openalex.org/W4404197966","https://openalex.org/W4404207760","https://openalex.org/W4404771714","https://openalex.org/W4406795141","https://openalex.org/W4407690510"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Effective":[1],"mitigation":[2],"and":[3,9,12,28,33,48,59,71,78,97,117,128,174,197,203,209],"response":[4],"to":[5,124,135,156,158,195],"disasters":[6],"require":[7],"fast":[8],"accurate":[10,38],"classification":[11,173],"localisation":[13,36,175],"of":[14,24,62,73,165,169,189],"natural":[15],"disasters.":[16],"We":[17],"herein":[18],"propose":[19],"EcoDisasterLocNet,":[20],"a":[21,46,162,206],"hybrid":[22,106,187],"architecture":[23,42],"Grad-CAM":[25,116,118,127,129,148],"+":[26,27,119,120,130,131,149,150],"DenseNet-201":[29,83,170],"that":[30],"integrates":[31],"fine-grained":[32],"interpretable":[34],"disaster":[35,214],"with":[37,102],"spatial":[39],"classification.":[40],"The":[41,167,186],"is":[43,193],"learned":[44],"on":[45],"balanced":[47],"augmented":[49],"10,537-image":[50],"dataset":[51],"spread":[52],"over":[53],"four":[54],"classes:":[55],"earthquake,":[56],"wildfire,":[57],"flood,":[58],"cyclone.":[60],"75%":[61],"the":[63,74,80,85,152,190],"images":[64,75],"were":[65,122,133],"utilised":[66],"for":[67,146,212],"training":[68,92],"while":[69,160],"15%":[70],"10%":[72],"respectively":[76],"tested":[77],"validated":[79],"architecture.":[81],"Optimised":[82],"produced":[84],"best":[86],"results":[87],"where":[88],"it":[89,204],"obtained":[90],"99.90%":[91],"accuracy,":[93,96],"94.24%":[94],"validation":[95],"95.16%":[98],"testing":[99],"accuracy":[100],"along":[101],"95.26%/95.16%/95.19%":[103],"precision/recall/F1-score.":[104],"This":[105],"ensemble":[107],"(ERI-2025)":[108],"was":[109,177],"initially":[110],"evaluated":[111],"alongside":[112],"standalone":[113],"CNN":[114,184],"models.":[115],"visualisations":[121,132],"used":[123,134],"emphasise":[125,136],"disaster-related":[126,137],"regions":[138],"(e.g.,":[139],"fissures,":[140],"wildfires,":[141],"flood":[142],"regions,":[143],"cyclone":[144],"eyes)":[145],"localisation.":[147],"enhanced":[151],"IoU":[153],"from":[154],"0.27":[155],"0.51":[157],"0.39\u20130.51":[159],"maintaining":[161],"Dice":[163],"coefficient":[164],"2.00.":[166],"superiority":[168],"in":[171,200],"both":[172],"tasks":[176],"confirmed":[178],"by":[179],"comparative":[180],"evaluation":[181],"against":[182],"other":[183],"architectures":[185],"design":[188],"proposed":[191],"framework":[192],"adaptable":[194],"multimodal":[196],"spatiotemporal":[198],"datasets":[199],"future":[201],"research,":[202],"provides":[205],"scalable,":[207],"interpretable,":[208],"high-precision":[210],"solution":[211],"real-time":[213],"monitoring.":[215]},"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2026-02-25T00:00:00"}
