{"id":"https://openalex.org/W4413057290","doi":"https://doi.org/10.1115/1.4069191","title":"Learning-Based Real-Time Down-Sampling for Scalable Decentralized Decision-Making in Bayes-Swarm Search","display_name":"Learning-Based Real-Time Down-Sampling for Scalable Decentralized Decision-Making in Bayes-Swarm Search","publication_year":2025,"publication_date":"2025-07-18","ids":{"openalex":"https://openalex.org/W4413057290","doi":"https://doi.org/10.1115/1.4069191"},"language":"en","primary_location":{"id":"doi:10.1115/1.4069191","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4069191","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111958418","display_name":"Aditya Bhatt","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aditya Bhatt","raw_affiliation_strings":["University at Buffalo Department of Mechanical and Aerospace Engineering, , , \u00a0","328 Jarvis Hall Buffalo, NY 14260"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo Department of Mechanical and Aerospace Engineering, , , \u00a0","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"328 Jarvis Hall Buffalo, NY 14260","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011454978","display_name":"Jhoel Witter","orcid":"https://orcid.org/0009-0001-7105-3607"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jhoel Witter","raw_affiliation_strings":["University at Buffalo Department of Mechanical and Aerospace Engineering, , , \u00a0","328 Jarvis Hall Buffalo, NY 14260"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo Department of Mechanical and Aerospace Engineering, , , \u00a0","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"328 Jarvis Hall Buffalo, NY 14260","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110960618","display_name":"Prajit KrisshnaKumar","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prajit KrisshnaKumar","raw_affiliation_strings":["University at Buffalo Department of Mechanical and Aerospace Engineering, , , \u00a0","University at Buffalo Buffalo, NY 14260"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo Department of Mechanical and Aerospace Engineering, , , \u00a0","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"University at Buffalo Buffalo, NY 14260","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082521584","display_name":"Steve Paul","orcid":"https://orcid.org/0000-0002-8138-5242"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steve Paul","raw_affiliation_strings":["University at Buffalo Department of Mechanical and Aerospace Engineering, , , \u00a0","328 Jarvis Hall Buffalo, NY 14260"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo Department of Mechanical and Aerospace Engineering, , , \u00a0","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"328 Jarvis Hall Buffalo, NY 14260","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074202796","display_name":"Souma Chowdhury","orcid":"https://orcid.org/0000-0002-1500-2696"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Souma Chowdhury","raw_affiliation_strings":["University at Buffalo Department of Mechanical and Aerospace Engineering, , , \u00a0","246 Bell Hall Mechanical and Aerospace Engineering Buffalo, NY 14260"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo Department of Mechanical and Aerospace Engineering, , , \u00a0","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"246 Bell Hall Mechanical and Aerospace Engineering Buffalo, NY 14260","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87932509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"25","issue":"10","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9970999956130981,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9722999930381775,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/swarm-behaviour","display_name":"Swarm behaviour","score":0.8204424381256104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7192120552062988},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5105701684951782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5080749988555908},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4722180664539337},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4633887708187103},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.44082069396972656},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4139057993888855},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3700971007347107},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2920973598957062},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1077452003955841}],"concepts":[{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.8204424381256104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7192120552062988},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5105701684951782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5080749988555908},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4722180664539337},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4633887708187103},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.44082069396972656},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4139057993888855},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3700971007347107},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2920973598957062},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1077452003955841},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1115/1.4069191","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4069191","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1448742484","display_name":null,"funder_award_id":"2048020","funder_id":"https://openalex.org/F4320332170","funder_display_name":"Directorate for Engineering"}],"funders":[{"id":"https://openalex.org/F4320332170","display_name":"Directorate for Engineering","ror":"https://ror.org/00b6sbb32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W13135463","https://openalex.org/W585418756","https://openalex.org/W1480219823","https://openalex.org/W1950970151","https://openalex.org/W1978295341","https://openalex.org/W2085261163","https://openalex.org/W2085329763","https://openalex.org/W2465297489","https://openalex.org/W2528740446","https://openalex.org/W2563408008","https://openalex.org/W2592935948","https://openalex.org/W2733773676","https://openalex.org/W2750875381","https://openalex.org/W2903061390","https://openalex.org/W2911817912","https://openalex.org/W2953267346","https://openalex.org/W3000508506","https://openalex.org/W3009871516","https://openalex.org/W3096656822","https://openalex.org/W3161653370","https://openalex.org/W4224240518","https://openalex.org/W4283451675","https://openalex.org/W4310369198","https://openalex.org/W4323650658","https://openalex.org/W4367016777","https://openalex.org/W6605566567","https://openalex.org/W6644737087","https://openalex.org/W6666993445","https://openalex.org/W6682962330","https://openalex.org/W6717592239","https://openalex.org/W6720589313","https://openalex.org/W6726232123","https://openalex.org/W6727654133","https://openalex.org/W6729669141","https://openalex.org/W6745847804","https://openalex.org/W6751882866","https://openalex.org/W6755126946","https://openalex.org/W6756138707","https://openalex.org/W6756420827","https://openalex.org/W6758051753","https://openalex.org/W6765785367","https://openalex.org/W6782414780","https://openalex.org/W6802231496","https://openalex.org/W6861763080","https://openalex.org/W6873288628"],"related_works":["https://openalex.org/W4288714711","https://openalex.org/W3200708550","https://openalex.org/W2736680465","https://openalex.org/W2771637876","https://openalex.org/W4294093918","https://openalex.org/W4240853094","https://openalex.org/W2810496283","https://openalex.org/W2170656329","https://openalex.org/W3131977017","https://openalex.org/W3205823858"],"abstract_inverted_index":{"Abstract":[0],"A":[1],"swarm":[2,26,63,186],"of":[3,24,40,61,76,119,135,184,226],"robots":[4],"working":[5],"together":[6],"promises":[7],"efficient":[8],"solutions":[9],"toward":[10],"searching":[11],"for":[12,52],"signal":[13,42,121],"sources":[14],"in":[15,214,224],"hazard":[16],"localization":[17],"and":[18,35,80,141,159,229],"search-and-rescue":[19],"applications.":[20],"An":[21],"effective":[22],"class":[23],"such":[25],"search":[27,109,187,215,227],"algorithms":[28,45],"is":[29,198],"one":[30],"that":[31,70],"constructs,":[32],"progressively":[33],"refines,":[34],"uses":[36,114],"a":[37,100,107,115,132,146,161,174],"belief":[38,82],"model":[39,118],"the":[41,59,62,120,136,142,156,185,194,208],"environment.":[43,122],"These":[44,170],"however":[46],"risk":[47,90],"becoming":[48],"too":[49],"computationally":[50],"burdensome":[51],"real-time":[53],"or":[54,64],"onboard":[55],"decentralized":[56],"implementation":[57,192],"as":[58,91],"size":[60,206],"mission":[65],"duration":[66],"increases.":[67],"Other":[68],"applications":[69],"involve":[71],"collecting":[72],"an":[73],"increasing":[74,204],"amount":[75],"spatially":[77],"distributed":[78],"data":[79],"building":[81],"models":[83],"thereof":[84],"to":[85,106,154,166,177,200,203],"make":[86],"decisions":[87],"face":[88],"this":[89,95,97,168],"well.":[92],"To":[93],"alleviate":[94],"risk,":[96],"article":[98],"presents":[99],"new":[101,133,190],"learning-based":[102],"down-sampling":[103,125,157,196],"approach":[104,126],"applied":[105],"notable":[108],"algorithm":[110],"called":[111],"Bayes-Swarm,":[112,210],"which":[113],"Gaussian":[116],"process":[117],"The":[123,189],"proposed":[124],"involves":[127],"three":[128],"key":[129],"elements:":[130],"(1)":[131],"abstraction":[134],"input":[137],"encoding":[138],"visited":[139],"locations":[140],"down-sampled":[143],"data,":[144],"(2)":[145],"probabilistic":[147],"loss":[148],"function":[149],"based":[150],"on":[151],"Sinkhorn":[152],"distance":[153],"capture":[155],"performance,":[158],"(3)":[160],"convolutional":[162],"neural":[163],"network":[164],"(CNN)":[165],"perform":[167],"down-sampling.":[169],"elements":[171],"enable":[172],"learning":[173],"generalized":[175],"way":[176],"down-sample":[178],"observations":[179],"without":[180,211],"requiring":[181],"expensive":[182],"simulations":[183],"process.":[188],"Bayes-Swarm":[191],"with":[193],"CNN-based":[195],"(CNN-Bayes-Swarm)":[197],"found":[199],"be":[201],"agnostic":[202],"dataset":[205],"unlike":[207],"original":[209],"significant":[212],"compromise":[213],"completion":[216],"time.":[217],"CNN-Bayes-Swarm":[218],"also":[219],"outperforms":[220],"other":[221],"baseline":[222],"down-samplers":[223],"terms":[225],"performance":[228],"computing":[230],"costs":[231],"considered":[232],"together.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
