{"id":"https://openalex.org/W7221136864","doi":"https://doi.org/10.1109/assic70037.2026.11717268","title":"A Multi-Modal Data Fusion System for Flood Detection: A Privacy-Preserving Federated Learning Approach Leveraging Transfer Learning and Real-World Field Data","display_name":"A Multi-Modal Data Fusion System for Flood Detection: A Privacy-Preserving Federated Learning Approach Leveraging Transfer Learning and Real-World Field Data","publication_year":2026,"publication_date":"2026-08-01","ids":{"openalex":"https://openalex.org/W7221136864","doi":"https://doi.org/10.1109/assic70037.2026.11717268"},"language":"en","primary_location":{"id":"doi:10.1109/assic70037.2026.11717268","doi":"https://doi.org/10.1109/assic70037.2026.11717268","is_oa":true,"landing_page_url":"https://doi.org/10.1109/assic70037.2026.11717268","pdf_url":null,"source":{"id":"https://openalex.org/S7407086684","display_name":"International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W7221136864"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/assic70037.2026.11717268","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5158056728","display_name":"Ram Kumar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405263090","display_name":"VIT Bhopal University","ror":"https://ror.org/02d03ve54","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405263090"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ram Kumar","raw_affiliation_strings":["VIT Bhopal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VIT Bhopal University","institution_ids":["https://openalex.org/I4405263090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008794697","display_name":"Monica Sankat","orcid":"https://orcid.org/0009-0006-9018-4908","observed_orcids":["https://orcid.org/0009-0006-9018-4908"]},"institutions":[{"id":"https://openalex.org/I4405263090","display_name":"VIT Bhopal University","ror":"https://ror.org/02d03ve54","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405263090"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Monica Sankat","raw_affiliation_strings":["VIT Bhopal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VIT Bhopal University","institution_ids":["https://openalex.org/I4405263090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139735350","display_name":"Harshit Gupta","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405263090","display_name":"VIT Bhopal University","ror":"https://ror.org/02d03ve54","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405263090"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harshit Gupta","raw_affiliation_strings":["VIT Bhopal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VIT Bhopal University","institution_ids":["https://openalex.org/I4405263090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5158157962","display_name":"Shubham Purbey","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405263090","display_name":"VIT Bhopal University","ror":"https://ror.org/02d03ve54","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405263090"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shubham Purbey","raw_affiliation_strings":["VIT Bhopal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VIT Bhopal University","institution_ids":["https://openalex.org/I4405263090"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071787968","display_name":"Nilamadhab Mishra","orcid":"https://orcid.org/0000-0002-1330-4869","observed_orcids":["https://orcid.org/0000-0002-1330-4869","https://orcid.org/0000-0002-7286-7207"]},"institutions":[{"id":"https://openalex.org/I4405263090","display_name":"VIT Bhopal University","ror":"https://ror.org/02d03ve54","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405263090"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nilamadhab Mishra","raw_affiliation_strings":["VIT Bhopal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VIT Bhopal University","institution_ids":["https://openalex.org/I4405263090"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405263090"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.7250999808311462,"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":0.7250999808311462,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.14730000495910645,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.09210000187158585,"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/flood-detection","display_name":"flood detection","score":0.9929999709129333},{"id":"https://openalex.org/keywords/multimodal-fusion","display_name":"multimodal fusion","score":0.8090000152587891},{"id":"https://openalex.org/keywords/privacy-preserving-federated-learning","display_name":"privacy-preserving federated learning","score":0.9409999847412109},{"id":"https://openalex.org/keywords/heterogeneous-federated-learning","display_name":"heterogeneous federated learning","score":0.9950000047683716},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.765999972820282},{"id":"https://openalex.org/keywords/sentinel-2-imagery","display_name":"Sentinel-2 imagery","score":0.8550000190734863},{"id":"https://openalex.org/keywords/rainfall-time-series","display_name":"rainfall time series","score":0.7839999794960022},{"id":"https://openalex.org/keywords/water-level-forecasting","display_name":"water level prediction","score":0.7279999852180481},{"id":"https://openalex.org/keywords/narx-neural-network","display_name":"NARX neural network","score":0.7739999890327454},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.4779999852180481},{"id":"https://openalex.org/keywords/iot-sensors","display_name":"IoT sensors","score":0.7459999918937683},{"id":"https://openalex.org/keywords/disaster-early-warning","display_name":"disaster early warning","score":0.699999988079071},{"id":"https://openalex.org/keywords/flood-monitoring","display_name":"flood monitoring","score":0.6899999976158142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6664000153541565},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6026999950408936},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4875999987125397},{"id":"https://openalex.org/C2992525071","wikidata":"https://www.wikidata.org/wiki/Q50818671","display_name":"Federated learning","level":2,"score":0.453000009059906},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.42480000853538513},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.41749998927116394},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4147000014781952},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.4115999937057495},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3856000006198883},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.36070001125335693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3384999930858612},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3287000060081482},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.266400009393692}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/assic70037.2026.11717268","doi":"https://doi.org/10.1109/assic70037.2026.11717268","is_oa":true,"landing_page_url":"https://doi.org/10.1109/assic70037.2026.11717268","pdf_url":null,"source":{"id":"https://openalex.org/S7407086684","display_name":"International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/assic70037.2026.11717268","doi":"https://doi.org/10.1109/assic70037.2026.11717268","is_oa":true,"landing_page_url":"https://doi.org/10.1109/assic70037.2026.11717268","pdf_url":null,"source":{"id":"https://openalex.org/S7407086684","display_name":"International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.53329998254776}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2056435747","https://openalex.org/W2077509829","https://openalex.org/W2103452139","https://openalex.org/W2194775991","https://openalex.org/W2800819102","https://openalex.org/W2912213068"],"related_works":["https://openalex.org/W7213277157","https://openalex.org/W7204076536","https://openalex.org/W7125596214","https://openalex.org/W7223095243","https://openalex.org/W7215086372","https://openalex.org/W7221171554","https://openalex.org/W7213533069","https://openalex.org/W7160997050","https://openalex.org/W7166185144","https://openalex.org/W7172031200"],"abstract_inverted_index":{"One":[0],"of":[1,9,30,35,37,51,66,73,78,93,101,122,170,198,213,216],"the":[2,26,62,94,109,118,152,184,210,225,244],"most":[3],"devastating":[4],"natural":[5],"disasters":[6],"is":[7,221],"that":[8,130,136,207,220],"floods":[10],"and":[11,17,32,64,104,140,178,182,193,219,236,254,260],"this":[12],"has":[13],"necessitated":[14],"early":[15,262],"detection":[16,214],"rapid":[18],"response":[19],"systems":[20],"which":[21,89,248],"are":[22,90],"usually":[23],"constrained":[24],"by":[25,75,196],"privacy":[27,56],"threats,":[28],"delays":[29],"communications":[31],"a":[33,46,76,127,141,164,168,191,250],"lack":[34],"scalability":[36],"centralized":[38],"data":[39,52,74,87,189],"processing.":[40],"The":[41,80,154,203,230],"present":[42],"paper":[43],"suggests":[44],"TriModalFloodNet,":[45],"federated":[47],"multi":[48],"mode":[49],"network":[50],"fusion":[53],"based":[54],"on":[55,108],"preservation":[57],"in":[58,163,190],"order":[59],"to":[60,148,159,240,257],"increase":[61],"accuracy":[63,212],"security":[65],"flood":[67],"monitoring":[68],"solution":[69,256],"through":[70],"local":[71,192],"processing":[72],"number":[77],"nodes.":[79],"architecture":[81],"gets":[82],"three":[83],"different":[84,171],"real-world":[85],"field":[86],"streams,":[88],"spatial":[91],"visuals":[92],"Sentinel-2":[95],"satellite":[96,176],"image,":[97],"temporal":[98],"meteorological":[99],"patterns":[100],"rainfall":[102],"history,":[103],"dynamic":[105],"hydrological":[106],"reacts":[107],"river":[110],"water-level":[111,150],"sensors.":[112],"To":[113],"learn":[114],"these":[115],"heterogeneous":[116,165],"inputs,":[117],"framework":[119],"makes":[120],"use":[121],"specialized":[123],"model":[124,232],"branches,":[125],"i.e.,":[126],"CNN-based":[128],"branch":[129],"visual":[131],"processing,":[132],"an":[133],"all-MLP":[134],"TSMixer":[135],"can":[137,156],"analyse":[138],"rainfall,":[139],"Nonlinear":[142],"Auto-Regressive":[143],"with":[144,167],"exogenous":[145],"inputs":[146],"(NARX)":[147],"predict":[149],"using":[151],"model.":[153],"system":[155],"be":[157],"used":[158],"accomplish":[160],"collaborative":[161],"training":[162,237],"environment":[166],"variety":[169],"clients,":[172],"such":[173],"as":[174],"high-compute":[175],"centers":[177],"low-power":[179],"IoT":[180],"sensors,":[181],"at":[183,243],"same":[185],"time":[186],"keep":[187],"raw":[188],"safe":[194],"location":[195],"means":[197],"Heterogeneous":[199],"Federated":[200],"Learning":[201],"(HeteroFL).":[202],"experimental":[204],"findings":[205],"reveal":[206],"TriModalFloodNet":[208],"attains":[209],"highest":[211],"rate":[215],"94":[217],"percent":[218],"much":[222],"better":[223],"than":[224],"traditional":[226],"one":[227],"modality":[228],"contributions.":[229],"global":[231],"showed":[233],"consistent":[234],"convergence,":[235],"loss":[238],"decreased":[239],"around":[241],"0.10":[242],"50":[245],"th":[246],"epoch,":[247],"gave":[249],"very":[251],"strong,":[252],"scalable,":[253],"community-oriented":[255],"disaster":[258],"management":[259],"its":[261],"warning":[263],"features.":[264]},"counts_by_year":[],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2026-10-10T00:00:00"}