{"id":"https://openalex.org/W4205562118","doi":"https://doi.org/10.1109/ipccc51483.2021.9679451","title":"Unravel: An Anomalistic Crowd Investigation Framework Using Social Airborne Sensing","display_name":"Unravel: An Anomalistic Crowd Investigation Framework Using Social Airborne Sensing","publication_year":2021,"publication_date":"2021-10-29","ids":{"openalex":"https://openalex.org/W4205562118","doi":"https://doi.org/10.1109/ipccc51483.2021.9679451"},"language":"en","primary_location":{"id":"doi:10.1109/ipccc51483.2021.9679451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc51483.2021.9679451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Performance, Computing, and Communications Conference (IPCCC)","raw_type":"proceedings-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/A5025156730","display_name":"Md Tahmid Rashid","orcid":"https://orcid.org/0000-0001-9956-0988"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Md Tahmid Rashid","raw_affiliation_strings":["University of Notre Dame,Department of Computer Science and Engineering,Notre Dame,IN,USA"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame,Department of Computer Science and Engineering,Notre Dame,IN,USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391517","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-9599-8023"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["University of Illinois Urbana-Champaign,School of Information Sciences,Champaign,IL,USA","School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign,School of Information Sciences,Champaign,IL,USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025156730"],"corresponding_institution_ids":["https://openalex.org/I107639228"],"apc_list":null,"apc_paid":null,"fwci":0.8158,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78960324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991000294685364,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991000294685364,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.931984543800354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7380326986312866},{"id":"https://openalex.org/keywords/crowd-psychology","display_name":"Crowd psychology","score":0.6439028382301331},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5661242008209229},{"id":"https://openalex.org/keywords/beacon","display_name":"Beacon","score":0.5567039251327515},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4863634705543518},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.4516911506652832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.416882187128067},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3880994915962219},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38738271594047546},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.36943769454956055},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.25573939085006714},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18232712149620056}],"concepts":[{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.931984543800354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7380326986312866},{"id":"https://openalex.org/C44042526","wikidata":"https://www.wikidata.org/wiki/Q1355183","display_name":"Crowd psychology","level":2,"score":0.6439028382301331},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5661242008209229},{"id":"https://openalex.org/C102168758","wikidata":"https://www.wikidata.org/wiki/Q7321258","display_name":"Beacon","level":2,"score":0.5567039251327515},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4863634705543518},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.4516911506652832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.416882187128067},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3880994915962219},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38738271594047546},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.36943769454956055},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.25573939085006714},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18232712149620056}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipccc51483.2021.9679451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc51483.2021.9679451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Performance, Computing, and Communications Conference (IPCCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W101807367","https://openalex.org/W1826790618","https://openalex.org/W1967647772","https://openalex.org/W1991327379","https://openalex.org/W2013361314","https://openalex.org/W2065994824","https://openalex.org/W2108626773","https://openalex.org/W2131369712","https://openalex.org/W2134169864","https://openalex.org/W2155189155","https://openalex.org/W2181061855","https://openalex.org/W2250992972","https://openalex.org/W2254433317","https://openalex.org/W2309693750","https://openalex.org/W2321327828","https://openalex.org/W2344440755","https://openalex.org/W2413424129","https://openalex.org/W2571149404","https://openalex.org/W2572080821","https://openalex.org/W2584297289","https://openalex.org/W2597390191","https://openalex.org/W2618711833","https://openalex.org/W2762100403","https://openalex.org/W2787456091","https://openalex.org/W2787801451","https://openalex.org/W2798542761","https://openalex.org/W2896741617","https://openalex.org/W2898444472","https://openalex.org/W2902372528","https://openalex.org/W2940479409","https://openalex.org/W2975594471","https://openalex.org/W2982492177","https://openalex.org/W2995841645","https://openalex.org/W2999027483","https://openalex.org/W3003550519","https://openalex.org/W3008294222","https://openalex.org/W3016837845","https://openalex.org/W3047024287","https://openalex.org/W3091915513","https://openalex.org/W3102526666","https://openalex.org/W3104737638","https://openalex.org/W3110811431","https://openalex.org/W3157386596","https://openalex.org/W3215045776","https://openalex.org/W4238445499","https://openalex.org/W4253271685","https://openalex.org/W6604115978","https://openalex.org/W6676351932","https://openalex.org/W6680010908","https://openalex.org/W6691351750","https://openalex.org/W6750697433","https://openalex.org/W6755435493","https://openalex.org/W6771857381","https://openalex.org/W6774926787","https://openalex.org/W6944655840"],"related_works":["https://openalex.org/W2520489243","https://openalex.org/W4313010244","https://openalex.org/W2189920449","https://openalex.org/W2606245705","https://openalex.org/W3096912411","https://openalex.org/W2552689626","https://openalex.org/W302286416","https://openalex.org/W4309855366","https://openalex.org/W4206574198","https://openalex.org/W1539594340"],"abstract_inverted_index":{"In":[0,78],"the":[1,18,26,58,70,83,120,135,139,145,194,198,204],"domain":[2],"of":[3,21,25,61,138,141,206],"smart":[4],"city":[5],"applications,":[6],"anomalistic":[7,179,207],"crowd":[8,30,103,142,180,189,208],"investigation":[9],"in":[10,106,114,201,210],"public":[11,107,211],"places":[12],"is":[13],"a":[14,177,186],"crucial":[15],"task":[16],"for":[17,29,176],"efficient":[19],"management":[20],"unforeseen":[22],"crowds.":[23,45],"Many":[24],"current":[27],"approaches":[28],"monitoring":[31],"utilize":[32],"physical":[33,98],"sensor-based":[34],"tracking":[35],"(e.g.,":[36],"cellular":[37],"signals,":[38],"cameras,":[39],"RFID":[40],"beacons)":[41],"to":[42,55,85,100],"detect":[43,57],"abrupt":[44,102],"Unfortunately,":[46],"these":[47,150],"solutions":[48],"are":[49,53],"highly":[50],"application-specific":[51],"and":[52,93,127,133,173,213],"able":[54],"only":[56],"mere":[59],"presence":[60],"crowds":[62],"without":[63],"determining":[64],"their":[65,215],"causes":[66],"that":[67,75,162,193],"may":[68],"reveal":[69],"actual":[71],"story":[72],"behind":[73],"gatherings":[74],"occur":[76],"suddenly.":[77],"this":[79],"paper,":[80],"we":[81,152],"explore":[82],"opportunity":[84],"meld":[86],"two":[87,110],"complementary":[88],"sensing":[89,92,99,125,159],"paradigms:":[90],"social":[91,124,157],"unmanned":[94],"aerial":[95],"vehicle":[96],"(UAV)-based":[97],"scrutinize":[101],"events":[104,143],"occurring":[105],"places.":[108],"However,":[109],"technical":[111],"challenges":[112],"exist":[113],"developing":[115],"our":[116],"solution:":[117],"i)":[118],"handling":[119],"data":[121],"sparsity":[122],"across":[123],"platforms":[126],"within":[128],"video":[129],"footage":[130],"from":[131,144,166],"UAVs;":[132],"ii)":[134],"accurate":[136],"inference":[137],"cause":[140],"collected":[146],"data.":[147],"To":[148],"address":[149],"challenges,":[151],"develop":[153],"Unravel,":[154],"an":[155],"intelligent":[156],"airborne":[158],"(SAS)":[160],"framework":[161,196],"leverages":[163],"interdisciplinary":[164],"techniques":[165],"natural":[167],"language":[168],"processing":[169],"(NLP),":[170],"object":[171],"recognition,":[172],"estimation":[174],"theory":[175],"comprehensive":[178],"investigation.":[181],"The":[182],"evaluation":[183],"results":[184],"with":[185],"real-world":[187],"anomalous":[188],"instance":[190],"dataset":[191],"show":[192],"Unravel":[195],"outperforms":[197],"state-of-the-art":[199],"baselines":[200],"accurately":[202],"validating":[203],"existence":[205],"instances":[209],"areas":[212],"deriving":[214],"causes.":[216]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}