{"id":"https://openalex.org/W2080671210","doi":"https://doi.org/10.1109/aipr.2013.6749341","title":"Multi-perspective anomaly prediction using neural networks","display_name":"Multi-perspective anomaly prediction using neural networks","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2080671210","doi":"https://doi.org/10.1109/aipr.2013.6749341","mag":"2080671210"},"language":"en","primary_location":{"id":"doi:10.1109/aipr.2013.6749341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2013.6749341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","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/A5029487468","display_name":"Aaron Waibel","orcid":null},"institutions":[{"id":"https://openalex.org/I200885203","display_name":"Indiana University of Pennsylvania","ror":"https://ror.org/0511cmw96","country_code":"US","type":"education","lineage":["https://openalex.org/I200885203"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aaron Waibel","raw_affiliation_strings":["Department of Computer Science, Indiana University of Pennsylvania, Indiana Pennsylvania","Dept. of Comput. Sci., Indiana Univ. of Pennsylvania, Indiana, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Indiana University of Pennsylvania, Indiana Pennsylvania","institution_ids":["https://openalex.org/I200885203"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Indiana Univ. of Pennsylvania, Indiana, PA, USA","institution_ids":["https://openalex.org/I200885203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777328","display_name":"Abdullah Alshehri","orcid":"https://orcid.org/0000-0003-0008-9394"},"institutions":[{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Abdullah Ali Alshehri","raw_affiliation_strings":["Electrical Engineering Department, King Abdulaziz University, Saudi Arabia","Electr. Eng. Dept., King Abdulaziz Univ., Jeddah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, King Abdulaziz University, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]},{"raw_affiliation_string":"Electr. Eng. Dept., King Abdulaziz Univ., Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088839879","display_name":"Soundararajan Ezekiel","orcid":null},"institutions":[{"id":"https://openalex.org/I200885203","display_name":"Indiana University of Pennsylvania","ror":"https://ror.org/0511cmw96","country_code":"US","type":"education","lineage":["https://openalex.org/I200885203"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soundararajan Ezekiel","raw_affiliation_strings":["Department of Computer Science, Indiana University of Pennsylvania, Indiana Pennsylvania","Dept. of Comput. Sci., Indiana Univ. of Pennsylvania, Indiana, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Indiana University of Pennsylvania, Indiana Pennsylvania","institution_ids":["https://openalex.org/I200885203"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Indiana Univ. of Pennsylvania, Indiana, PA, USA","institution_ids":["https://openalex.org/I200885203"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029487468"],"corresponding_institution_ids":["https://openalex.org/I200885203"],"apc_list":null,"apc_paid":null,"fwci":1.4427,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8602251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9961000084877014,"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.9961000084877014,"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/T12424","display_name":"Earthquake Detection and Analysis","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11757","display_name":"Seismic Waves and Analysis","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.7242225408554077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7177943587303162},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6744264364242554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6228798627853394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6060563325881958},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5436588525772095},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5198352932929993},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.49768999218940735},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.4962921738624573},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.47788870334625244},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4742407202720642},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.43424689769744873},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.42213982343673706},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3914468288421631},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32114288210868835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13582438230514526},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.09269189834594727}],"concepts":[{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.7242225408554077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7177943587303162},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6744264364242554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6228798627853394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6060563325881958},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5436588525772095},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5198352932929993},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.49768999218940735},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.4962921738624573},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.47788870334625244},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4742407202720642},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.43424689769744873},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.42213982343673706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3914468288421631},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32114288210868835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13582438230514526},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.09269189834594727},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aipr.2013.6749341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aipr.2013.6749341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W15514348","https://openalex.org/W191129667","https://openalex.org/W1975494227","https://openalex.org/W1997779874","https://openalex.org/W2066373778","https://openalex.org/W2079724595","https://openalex.org/W2125527601","https://openalex.org/W2132547391","https://openalex.org/W2136418253","https://openalex.org/W2146298755","https://openalex.org/W2146842127","https://openalex.org/W2163621334","https://openalex.org/W2317702009","https://openalex.org/W4214806317","https://openalex.org/W4255521522"],"related_works":["https://openalex.org/W2105642232","https://openalex.org/W3197833032","https://openalex.org/W4386081464","https://openalex.org/W3207332793","https://openalex.org/W2499612753","https://openalex.org/W3113278055","https://openalex.org/W2750709484","https://openalex.org/W4296474495","https://openalex.org/W4388937474","https://openalex.org/W1892149550"],"abstract_inverted_index":{"In":[0,25],"this":[1,136,144,166],"paper,":[2,167],"we":[3,27,58,146,163],"introduce":[4],"a":[5,11,34,42,46,66,90,95,108,158],"technique":[6,70],"for":[7,94],"predicting":[8,154],"anomalies":[9,118,155,177],"in":[10,41,74,113,120,135,153,157,165,178],"signal":[12,22,49,64,115],"by":[13],"observing":[14],"relationships":[15],"between":[16,77],"multiple":[17],"meaningful":[18],"transformations":[19],"of":[20,37,62,82,107,124,130],"the":[21,29,38,63,75,80,101,105,114,121,125,140],"called":[23],"perspectives.":[24],"particular,":[26],"use":[28],"Fourier":[30],"transform":[31],"to":[32,53,71,138,149,175],"provide":[33],"holistic":[35],"view":[36],"frequencies":[39],"present":[40,164],"signal,":[43],"along":[44],"with":[45,168],"wavelet":[47],"denoised":[48],"that":[50],"is":[51,87],"filtered":[52],"locate":[54],"anomalous":[55],"peaks.":[56],"Then":[57],"input":[59],"these":[60],"perspectives":[61],"into":[65],"feedforward":[67],"neural":[68,85,102],"network":[69,86,103],"recognize":[72],"patterns":[73],"relationship":[76],"perspectives,":[78],"and":[79,182],"presence":[81],"anomalies.":[83],"The":[84,161],"trained":[88],"using":[89],"supervised":[91],"learning":[92],"algorithm":[93],"given":[96],"data":[97],"set.":[98],"Once":[99],"trained,":[100],"outputs":[104],"probability":[106],"significant":[109],"event":[110],"occurring":[111,119],"later":[112],"based":[116],"on":[117],"early":[122],"part":[123],"signal.":[126,160],"A":[127],"large":[128],"collection":[129],"seismic":[131,159],"signals":[132],"was":[133],"used":[134],"study":[137],"illustrate":[139],"underlying":[141],"methodology.":[142],"Using":[143],"method":[145],"were":[147],"able":[148],"achieve":[150],"54.7%":[151],"accuracy":[152],"further":[156],"techniques":[162],"some":[169],"refinement,":[170],"can":[171],"readily":[172],"be":[173],"applied":[174],"detect":[176],"seismic,":[179],"electrocardiogram,":[180],"electroencephalogram,":[181],"other":[183],"non-stationary":[184],"signals.":[185]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}