{"id":"https://openalex.org/W2825713723","doi":"https://doi.org/10.1109/siu.2018.8404503","title":"Classification of 1D signals using deep neural networks","display_name":"Classification of 1D signals using deep neural networks","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2825713723","doi":"https://doi.org/10.1109/siu.2018.8404503","mag":"2825713723"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2018.8404503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5008235516","display_name":"Emre Ard\u0131\u00e7","orcid":"https://orcid.org/0000-0002-4324-8052"},"institutions":[{"id":"https://openalex.org/I4210124062","display_name":"T\u00fcbitak National Metrology Institute","ror":"https://ror.org/02zcjdk53","country_code":"TR","type":"facility","lineage":["https://openalex.org/I4210124062"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Emre Ardic","raw_affiliation_strings":["Ulusal Elektronik ve Kriptoloji Arastirma Enstitusu, Kocaeli, TR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ulusal Elektronik ve Kriptoloji Arastirma Enstitusu, Kocaeli, TR","institution_ids":["https://openalex.org/I4210124062"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010447124","display_name":"Yakup Gen\u00e7","orcid":"https://orcid.org/0000-0002-6952-6735"},"institutions":[{"id":"https://openalex.org/I109297418","display_name":"Gebze Technical University","ror":"https://ror.org/01sdnnq10","country_code":"TR","type":"education","lineage":["https://openalex.org/I109297418"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Yakup Genc","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Gebze Teknik \u00dcniversitesi, Kocaeli, T\u00fcrkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Gebze Teknik \u00dcniversitesi, Kocaeli, T\u00fcrkiye","institution_ids":["https://openalex.org/I109297418"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/absorbance","display_name":"Absorbance","score":0.932331919670105},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7104434967041016},{"id":"https://openalex.org/keywords/opacity","display_name":"Opacity","score":0.6291426420211792},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5841131806373596},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.5827357172966003},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5001513957977295},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.48905572295188904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.488988995552063},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4563872814178467},{"id":"https://openalex.org/keywords/near-infrared-spectroscopy","display_name":"Near-infrared spectroscopy","score":0.45130810141563416},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4512861371040344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44870179891586304},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4474402666091919},{"id":"https://openalex.org/keywords/molecule","display_name":"Molecule","score":0.4314810335636139},{"id":"https://openalex.org/keywords/reagent","display_name":"Reagent","score":0.41493356227874756},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.3717968463897705},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.33562108874320984},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.23697084188461304},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21747803688049316},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.16775083541870117},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15465259552001953},{"id":"https://openalex.org/keywords/organic-chemistry","display_name":"Organic chemistry","score":0.12200340628623962}],"concepts":[{"id":"https://openalex.org/C98015330","wikidata":"https://www.wikidata.org/wiki/Q907315","display_name":"Absorbance","level":2,"score":0.932331919670105},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7104434967041016},{"id":"https://openalex.org/C60056205","wikidata":"https://www.wikidata.org/wiki/Q691914","display_name":"Opacity","level":2,"score":0.6291426420211792},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5841131806373596},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.5827357172966003},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5001513957977295},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.48905572295188904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.488988995552063},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4563872814178467},{"id":"https://openalex.org/C43571822","wikidata":"https://www.wikidata.org/wiki/Q599037","display_name":"Near-infrared spectroscopy","level":2,"score":0.45130810141563416},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4512861371040344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44870179891586304},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4474402666091919},{"id":"https://openalex.org/C32909587","wikidata":"https://www.wikidata.org/wiki/Q11369","display_name":"Molecule","level":2,"score":0.4314810335636139},{"id":"https://openalex.org/C40875361","wikidata":"https://www.wikidata.org/wiki/Q2356542","display_name":"Reagent","level":2,"score":0.41493356227874756},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.3717968463897705},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.33562108874320984},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.23697084188461304},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21747803688049316},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.16775083541870117},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15465259552001953},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.12200340628623962},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/siu.2018.8404503","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2018.8404503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th Signal Processing and Communications Applications Conference (SIU)","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":17,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1605467703","https://openalex.org/W1678356000","https://openalex.org/W1983961944","https://openalex.org/W2011301426","https://openalex.org/W2101234009","https://openalex.org/W2109606373","https://openalex.org/W2128846728","https://openalex.org/W2146292423","https://openalex.org/W2158863190","https://openalex.org/W2402144811","https://openalex.org/W2528465977","https://openalex.org/W2564339002","https://openalex.org/W2762818368","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W2964121744"],"related_works":["https://openalex.org/W2161791806","https://openalex.org/W2571444410","https://openalex.org/W4387327236","https://openalex.org/W2183488467","https://openalex.org/W4309907966","https://openalex.org/W4387896287","https://openalex.org/W2187490799","https://openalex.org/W1990237101","https://openalex.org/W4300172249","https://openalex.org/W3170838353"],"abstract_inverted_index":{"The":[0,116],"absorbance":[1,60,89],"spectrum":[2,61,90],"technique":[3,44],"is":[4,102,108],"as":[5,7,28],"old":[6],"the":[8,22,39,70,114,123],"first":[9],"alchemists.":[10],"They":[11],"sought":[12],"to":[13,51,65,110],"identify":[14,66],"and":[15,24,34,48,55,83,96,112],"understand":[16],"their":[17],"elixirs":[18],"by":[19],"looking":[20],"at":[21],"color":[23],"opacity":[25],"of":[26,57,72,92,98],"solutions":[27],"different":[29,93],"reagents":[30],"were":[31],"mixed,":[32],"heated,":[33],"stirred.":[35],"Today":[36],"it":[37],"remains":[38],"most":[40],"widely":[41],"used":[42,64],"spectroscopic":[43],"for":[45],"studying":[46],"liquids":[47],"gases":[49],"due":[50],"its":[52],"simplicity,":[53],"accuracy,":[54],"ease":[56],"use.":[58],"An":[59],"can":[62],"be":[63],"substances":[67],"or":[68],"measure":[69],"concentration":[71,97],"a":[73,99],"molecule":[74,101],"in":[75],"solution.":[76],"In":[77],"this":[78],"work,":[79],"PLSR,":[80],"GBR,":[81],"RF":[82],"CNN":[84],"models":[85],"are":[86],"trained":[87],"on":[88],"data":[91,106],"liquid":[94],"solvents":[95],"specific":[100],"predicted.":[103],"A":[104],"large":[105],"set":[107],"collected":[109],"train":[111],"test":[113],"models.":[115],"proposed":[117],"deep":[118],"convolutional":[119],"neural":[120],"networks":[121],"gave":[122],"best":[124],"results.":[125]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}