{"id":"https://openalex.org/W2765858364","doi":"https://doi.org/10.1080/08839514.2017.1378162","title":"A Comparative Analysis of SVM and IDNN for Identifying Penguin Activities","display_name":"A Comparative Analysis of SVM and IDNN for Identifying Penguin Activities","publication_year":2017,"publication_date":"2017-07-03","ids":{"openalex":"https://openalex.org/W2765858364","doi":"https://doi.org/10.1080/08839514.2017.1378162","mag":"2765858364"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2017.1378162","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839514.2017.1378162","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5057916297","display_name":"Stefano Chessa","orcid":"https://orcid.org/0000-0002-1248-9478"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Chessa","raw_affiliation_strings":["Department of Computer Science, University of Pisa, Pisa Area, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Pisa Area, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010923663","display_name":"Alessio Micheli","orcid":"https://orcid.org/0000-0001-5764-5238"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessio Micheli","raw_affiliation_strings":["Department of Computer Science, University of Pisa, Pisa Area, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Pisa Area, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090003852","display_name":"Rita Pucci","orcid":"https://orcid.org/0000-0002-2970-1180"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Rita Pucci","raw_affiliation_strings":["Department of Computer Science, University of Pisa, Pisa Area, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Pisa, Pisa Area, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019001786","display_name":"Jane Hunter","orcid":"https://orcid.org/0000-0002-7163-4137"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jane Hunter","raw_affiliation_strings":["The University of Queensland, School of ITEE, Brisbane, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Queensland, School of ITEE, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010254268","display_name":"Gemma Carroll","orcid":"https://orcid.org/0000-0001-7776-0946"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gemma Carroll","raw_affiliation_strings":["Department of Biological Sciences, Macquarie University, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biological Sciences, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016236970","display_name":"Robert Harcourt","orcid":"https://orcid.org/0000-0003-4666-2934"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Rob Harcourt","raw_affiliation_strings":["Department of Biological Sciences, Macquarie University, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biological Sciences, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090003852"],"corresponding_institution_ids":["https://openalex.org/I108290504"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":1.1877,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.7461794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"31","issue":"5-6","first_page":"453","last_page":"471"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10174","display_name":"Animal Behavior and Reproduction","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11228","display_name":"Bat Biology and Ecology Studies","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8436893224716187},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7944967746734619},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.773605465888977},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.7332732081413269},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.7171896696090698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5280464887619019},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5166094899177551},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5046683549880981},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4791550040245056},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4400824308395386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39054757356643677},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10838916897773743},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06597882509231567}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8436893224716187},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7944967746734619},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.773605465888977},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.7332732081413269},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.7171896696090698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5280464887619019},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5166094899177551},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5046683549880981},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4791550040245056},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4400824308395386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39054757356643677},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10838916897773743},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06597882509231567},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1080/08839514.2017.1378162","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839514.2017.1378162","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arpi.unipi.it:11568/939867","is_oa":false,"landing_page_url":"http://hdl.handle.net/11568/939867","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:4836fcfa12fd48acb01c6a8da18a629b","is_oa":false,"landing_page_url":"https://doaj.org/article/4836fcfa12fd48acb01c6a8da18a629b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 31, Iss 5-6, Pp 453-471 (2017)","raw_type":"article"},{"id":"pmh:oai:espace.library.uq.edu.au:UQ:705237","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402388","display_name":"Queensland's institutional digital repository (The University of Queensland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165143802","host_organization_name":"The University of Queensland","host_organization_lineage":["https://openalex.org/I165143802"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.5799999833106995,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W760293583","https://openalex.org/W1569512666","https://openalex.org/W1746517195","https://openalex.org/W1856158088","https://openalex.org/W1905499514","https://openalex.org/W1916816488","https://openalex.org/W1944732173","https://openalex.org/W1975162399","https://openalex.org/W1976070686","https://openalex.org/W1989722781","https://openalex.org/W2031833126","https://openalex.org/W2036713095","https://openalex.org/W2054780155","https://openalex.org/W2061513338","https://openalex.org/W2077658674","https://openalex.org/W2078967742","https://openalex.org/W2087847636","https://openalex.org/W2092097147","https://openalex.org/W2093919938","https://openalex.org/W2104759223","https://openalex.org/W2126226258","https://openalex.org/W2136375252","https://openalex.org/W2139486048","https://openalex.org/W2140452356","https://openalex.org/W2145256412","https://openalex.org/W2145528623","https://openalex.org/W2148603752","https://openalex.org/W2149990553","https://openalex.org/W2171045159","https://openalex.org/W2171319828","https://openalex.org/W2177038967","https://openalex.org/W2177450450","https://openalex.org/W2204543892","https://openalex.org/W2216322816","https://openalex.org/W2236623899","https://openalex.org/W2290693711","https://openalex.org/W2296828606","https://openalex.org/W2502655619","https://openalex.org/W2515540274","https://openalex.org/W2520480241","https://openalex.org/W4239864865","https://openalex.org/W4241606086","https://openalex.org/W4250558372"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W1958015814","https://openalex.org/W410723623","https://openalex.org/W2413243053","https://openalex.org/W2015341305","https://openalex.org/W4225593417","https://openalex.org/W2035068594","https://openalex.org/W2059783833","https://openalex.org/W2573498121","https://openalex.org/W1549477351"],"abstract_inverted_index":{"Where,":[0],"when":[1],"and":[2,26,108,138,170,215],"how":[3],"much":[4],"animals":[5],"eat":[6],"provide":[7],"valuable":[8],"insights":[9],"into":[10],"their":[11],"ecology.":[12],"In":[13],"this":[14,125],"paper,":[15],"we":[16],"present":[17],"a":[18,162,188],"comparative":[19],"analysis":[20,129],"between":[21],"Support":[22],"Vector":[23],"Machine":[24],"(SVM)":[25],"Input":[27],"Delay":[28],"Neural":[29],"Network":[30],"(IDNN)":[31],"models":[32,58,133,149,186],"to":[33,59,75,100,117,192],"identify":[34],"prey":[35],"capture":[36],"events":[37],"from":[38,49,134],"penguin":[39],"accelerometry":[40],"data.":[41],"A":[42],"pre-classified":[43],"dataset":[44],"of":[45,84,113,130,141,154,165,184],"3D":[46],"time-series":[47,212],"data":[48,116,178,213],"back-mounted":[50],"accelerometers":[51],"was":[52,74],"used.":[53],"We":[54],"trained":[55],"both":[56,135,148],"the":[57,61,81,97,104,111,114,122,131,158,182,185,198,204],"classify":[60],"penguins\u2019":[62],"behavior":[63],"at":[64],"intervals":[65],"as":[66,87],"either":[67],"\u2018prey":[68],"handling\u2019":[69],"or":[70],"\u2018swimming\u2019.":[71],"The":[72,143,175],"aim":[73],"determine":[76],"whether":[77],"IDNN":[78,98,169,199],"could":[79],"achieve":[80,150],"same":[82],"level":[83],"classification":[85,123],"accuracy":[86,137,153,191],"SVM,":[88],"but":[89],"with":[90,161,187,210],"reduced":[91],"memory":[92,163],"demands.":[93],"This":[94,195],"would":[95],"enable":[96],"model":[99,200],"be":[101,118],"embedded":[102],"on":[103,121,203],"accelerometer":[105,177,205],"micro-system":[106],"itself,":[107,206],"hence":[109],"reduce":[110],"magnitude":[112],"output":[115],"uploaded.":[119],"Based":[120],"results,":[124],"paper":[126],"provides":[127],"an":[128,136,151],"two":[132],"applicability":[139],"point":[140],"view.":[142],"experimental":[144],"results":[145],"show":[146],"that":[147,197],"equivalent":[152],"approx.":[155],"85%":[156],"using":[157],"featured":[159],"data,":[160],"demand":[164],"0.5":[166],"kB":[167],"for":[168,173],"0.7":[171],"Mb":[172],"SVM.":[174],"raw":[176,211],"let":[179],"us":[180],"improve":[181],"generalizability":[183],"slightly":[189],"lower":[190],"around":[193],"80%.":[194],"indicates":[196],"can":[201],"embed":[202],"reducing":[207],"problems":[208],"associated":[209],"retrieval":[214],"loss.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
