{"id":"https://openalex.org/W4399169253","doi":"https://doi.org/10.1109/wf-iot58464.2023.10539414","title":"A Novel Machine Learning-Based Approach to City Crime Sensor Placement Prediction","display_name":"A Novel Machine Learning-Based Approach to City Crime Sensor Placement Prediction","publication_year":2023,"publication_date":"2023-10-12","ids":{"openalex":"https://openalex.org/W4399169253","doi":"https://doi.org/10.1109/wf-iot58464.2023.10539414"},"language":"en","primary_location":{"id":"doi:10.1109/wf-iot58464.2023.10539414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot58464.2023.10539414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 9th World Forum on Internet of Things (WF-IoT)","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/A5009616241","display_name":"Denis Nedeljkovic","orcid":"https://orcid.org/0009-0002-3990-216X"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Denis Nedeljkovic","raw_affiliation_strings":["School of IT, York University,Toronto,Canada","School of IT, York University, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"School of IT, York University,Toronto,Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"School of IT, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043756791","display_name":"Nadine Y. Fares","orcid":"https://orcid.org/0000-0002-0925-044X"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nadine Y Fares","raw_affiliation_strings":["School of IT, York University,Toronto,Canada","School of IT, York University, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"School of IT, York University,Toronto,Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"School of IT, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044729293","display_name":"Manar Jammal","orcid":"https://orcid.org/0000-0002-4833-7644"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Manar Jammal","raw_affiliation_strings":["School of IT, York University,Toronto,Canada","School of IT, York University, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"School of IT, York University,Toronto,Canada","institution_ids":["https://openalex.org/I192455969"]},{"raw_affiliation_string":"School of IT, York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009616241"],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":0.4728,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63836382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9904000163078308,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.6375309824943542},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41535940766334534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4019397497177124}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6375309824943542},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41535940766334534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4019397497177124}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wf-iot58464.2023.10539414","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot58464.2023.10539414","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 9th World Forum on Internet of Things (WF-IoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2164314779","https://openalex.org/W2169481445","https://openalex.org/W2565880651","https://openalex.org/W2811219435","https://openalex.org/W2945388018","https://openalex.org/W2996366953","https://openalex.org/W3041866381","https://openalex.org/W3097666373","https://openalex.org/W3143155580","https://openalex.org/W3198588847","https://openalex.org/W4287149675"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"The":[0],"integration":[1],"of":[2,14,24,30,83,137,171,182],"advanced":[3],"technologies":[4],"can":[5,16,34],"be":[6,17],"up-and-coming":[7],"for":[8,144,184],"human-centered":[9],"benefit.":[10],"As":[11],"the":[12,21,28,81,135,141,151,159,164,168,172,185],"quality":[13],"life":[15],"heavily":[18],"affected":[19],"by":[20],"safety":[22],"standards":[23],"vehicular":[25],"road":[26],"traffic,":[27],"placement":[29],"appropriate":[31],"traffic":[32,41,88,180,196],"sensors":[33],"contribute":[35],"to":[36,68,79,177,193],"these":[37],"standards.":[38],"Collecting":[39],"sensory":[40,191],"data":[42,63,85,115,175],"involving":[43],"location,":[44],"speed,":[45],"travel":[46],"time,":[47],"headways,":[48],"and":[49,62,71,105,125,150,199],"others":[50],"is":[51],"vital":[52],"in":[53,86,131],"designing":[54],"traffic-resolving":[55],"procedures.":[56],"With":[57],"such":[58],"data,":[59],"machine":[60],"learning":[61],"analysis":[64],"tools":[65],"are":[66],"required":[67],"detect":[69],"patterns":[70],"perform":[72],"predictions.":[73],"Through":[74],"our":[75],"research,":[76],"we":[77,112,162],"aim":[78],"investigate":[80],"potential":[82],"sensor":[84],"predicting":[87],"crime":[89,129,173,197],"hot":[90],"spots":[91],"using":[92],"Machine":[93],"Learning":[94],"(ML)":[95],"techniques,":[96],"specifically,":[97],"Random":[98],"Forest,":[99],"Long":[100],"Short-Term":[101],"Memory":[102],"Network":[103],"(LSTM),":[104],"Fourier":[106],"Series":[107],"Neural":[108],"Networks":[109],"(FSNN).":[110],"Overall,":[111],"use":[113],"three":[114],"sets,":[116],"one":[117,121,126],"with":[118,122,158,166],"location":[119],"codes,":[120],"ticket":[123],"outputs,":[124],"demonstrating":[127],"general":[128],"rates":[130,174],"different":[132],"locations":[133],"within":[134],"City":[136],"Toronto.":[138],"We":[139],"run":[140,163],"models":[142],"aiming":[143],"very":[145],"low":[146],"mean":[147],"score":[148,154],"error":[149],"highest":[152],"R2":[153],"possible.":[155],"Upon":[156],"satisfaction":[157],"initial":[160],"evaluation,":[161],"model":[165],"only":[167],"unused":[169],"portion":[170],"set":[176],"determine":[178],"new":[179],"areas":[181],"interest":[183],"sensors.":[186],"This":[187],"helps":[188],"us":[189],"develop":[190],"information":[192],"serve":[194],"as":[195],"indicators":[198],"predictors.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}