{"id":"https://openalex.org/W3080433135","doi":null,"title":"Bus line trajectories classification using weightless neural networks","display_name":"Bus line trajectories classification using weightless neural networks","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W3080433135","mag":"3080433135"},"language":"en","primary_location":{"id":"pmh:oai:pantheon.ufrj.br:11422/12983","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11422/12983","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"instacron:UFRJ","raw_type":"info:eu-repo/semantics/masterThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11422/12983","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103922243","display_name":"Raul Bezerra Barbosa","orcid":"https://orcid.org/0009-0001-9673-4038","observed_orcids":["https://orcid.org/0009-0001-9673-4038"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Raul Bezerra Barbosa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5103922243"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.3792000114917755,"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/T10320","display_name":"Neural Networks and Applications","score":0.3792000114917755,"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/T11106","display_name":"Data Management and Algorithms","score":0.1851000040769577,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12676","display_name":"Machine Learning and ELM","score":0.10239999741315842,"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/wisard","display_name":"WiSARD","score":0.9049999713897705},{"id":"https://openalex.org/keywords/weightless-neural-networks","display_name":"weightless neural networks","score":0.9940000176429749},{"id":"https://openalex.org/keywords/binarization","display_name":"binarization","score":0.6320000290870667},{"id":"https://openalex.org/keywords/neuro-symbolic-learning","display_name":"neuro-symbolic learning","score":0.9919999837875366}],"concepts":[{"id":"https://openalex.org/C15708023","wikidata":"https://www.wikidata.org/wiki/Q80083","display_name":"Humanities","level":1,"score":0.7809915542602539},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.27642056345939636}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:pantheon.ufrj.br:11422/12983","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11422/12983","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"instacron:UFRJ","raw_type":"info:eu-repo/semantics/masterThesis"},{"id":"mag:3080433135","doi":null,"is_oa":false,"landing_page_url":"https://pantheon.ufrj.br/bitstream/11422/12983/1/RaulBezerraBarbosa-min.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:pantheon.ufrj.br:11422/12983","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11422/12983","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"instacron:UFRJ","raw_type":"info:eu-repo/semantics/masterThesis"},"sustainable_development_goals":[{"score":0.7250000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"},{"score":0.7207000255584717,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W53188351","https://openalex.org/W629575385","https://openalex.org/W1492445020","https://openalex.org/W1521536236","https://openalex.org/W1522922105","https://openalex.org/W1531084120","https://openalex.org/W1565377632","https://openalex.org/W1673310716","https://openalex.org/W1675021219","https://openalex.org/W1924689489","https://openalex.org/W1930624869","https://openalex.org/W1995341919","https://openalex.org/W1995426156","https://openalex.org/W1995716737","https://openalex.org/W2009692332","https://openalex.org/W2023883031","https://openalex.org/W2027406879","https://openalex.org/W2056132907","https://openalex.org/W2078841894","https://openalex.org/W2097241863","https://openalex.org/W2105093929","https://openalex.org/W2110707662","https://openalex.org/W2125055259","https://openalex.org/W2126146865","https://openalex.org/W2126194848","https://openalex.org/W2133990480","https://openalex.org/W2143394441","https://openalex.org/W2151103935","https://openalex.org/W2165558283","https://openalex.org/W2169768310","https://openalex.org/W2170505850","https://openalex.org/W2339065330","https://openalex.org/W2584236479","https://openalex.org/W2607653946","https://openalex.org/W2735639773","https://openalex.org/W2784189955","https://openalex.org/W2911964244","https://openalex.org/W3046468648"],"related_works":["https://openalex.org/W2791627228","https://openalex.org/W4403389065","https://openalex.org/W1964710286","https://openalex.org/W4389483542","https://openalex.org/W2252902088","https://openalex.org/W4416323729","https://openalex.org/W2613357672","https://openalex.org/W2156423216","https://openalex.org/W2902235768","https://openalex.org/W6981050560"],"abstract_inverted_index":{"Geo-enabled":[0],"devices":[1],"are":[2],"ubiquitous":[3],"nowadays.":[4],"Within":[5],"a":[6,25,40,55,72,93,106,124,133,165],"diversity":[7],"of":[8,14,28,51,54,92,95,108,123,150,160,180],"possible":[9],"applications":[10],"using":[11],"the":[12,49,67,99,146,158,161,193],"huge":[13],"amount":[15],"data":[16,85,135,143],"generated":[17],"by":[18,98],"this":[19],"technology,":[20],"our":[21],"work":[22],"focuses":[23],"on":[24],"chronic":[26],"problem":[27,167],"Rio":[29,151],"de":[30,152],"Janeiro":[31,153],"city:":[32],"its":[33],"public":[34,56],"bus":[35,52,57,148],"system.":[36,58,127],"This":[37],"text":[38],"presents":[39],"framework":[41,129,194],"for":[42],"GPS":[43],"trajectories":[44],"classification,":[45],"whose":[46],"focus":[47],"is":[48,104,197],"identification":[50],"routes":[53],"In":[59,191],"order":[60],"to":[61,82,86,199,202],"do":[62],"that,":[63],"it":[64,103],"was":[65,130],"used":[66,81,187],"lightweight":[68],"and":[69,141,182,185],"versatile":[70],"WiSARD,":[71],"weightless":[73],"neural":[74],"network":[75],"classifier.":[76],"Different":[77],"binarization":[78],"methods":[79],"were":[80],"adapt":[83],"raw":[84],"WiSARD\u2019s":[87],"binary":[88],"input,":[89],"making":[90],"use":[91],"set":[94,136],"rules":[96],"defined":[97],"application":[100,204],"domain.":[101],"Yet,":[102],"evaluated":[105],"way":[107],"combining":[109],"WiSARD":[110,181],"through":[111],"decision":[112],"directed":[113],"acyclic":[114],"graphs.":[115],"All":[116],"these":[117],"approachs":[118],"result":[119],"in":[120,164],"different":[121],"flavors":[122],"neuro-symbolic":[125],"learning":[126,189],"The":[128],"tested":[131],"against":[132],"vast":[134],"created":[137],"from":[138,145],"open":[139],"access":[140],"real-time":[142],"acquired":[144],"current":[147],"system":[149],"city.":[154],"Results":[155],"obtained":[156],"suggest":[157],"applicability":[159],"proposed":[162],"solution":[163],"classification":[166],"with":[168],"more":[169],"than":[170],"500":[171],"classes.":[172],"Comparisons":[173],"made":[174],"also":[175],"indicate":[176],"an":[177],"equivalent":[178],"performance":[179],"other":[183,203],"state-of-art":[184],"widely":[186],"machine":[188],"methods.":[190],"addition,":[192],"described":[195],"here":[196],"believed":[198],"be":[200],"adaptable":[201],"domains.":[205]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-09-01T00:00:00"}