{"id":"https://openalex.org/W4381430833","doi":"https://doi.org/10.3233/jifs-230193","title":"MDEEPFIC: Food item classification with calorie calculation using modified dragonfly deep learning network","display_name":"MDEEPFIC: Food item classification with calorie calculation using modified dragonfly deep learning network","publication_year":2023,"publication_date":"2023-05-30","ids":{"openalex":"https://openalex.org/W4381430833","doi":"https://doi.org/10.3233/jifs-230193"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-230193","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230193","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-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/A5082575954","display_name":"P. Josephin Shermila","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"P. Josephin Shermila","raw_affiliation_strings":["Department of Artificial Intelligence and Data Science, R.M.K. College of Engineering and Technology, Thiruvallur, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Data Science, R.M.K. College of Engineering and Technology, Thiruvallur, Tamil Nadu, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001637955","display_name":"A. Ahilan","orcid":"https://orcid.org/0000-0001-9820-7058"},"institutions":[{"id":"https://openalex.org/I118826373","display_name":"Tirunelveli Medical College","ror":"https://ror.org/01c4srk95","country_code":"IN","type":"education","lineage":["https://openalex.org/I118826373"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Ahilan","raw_affiliation_strings":["Department of Electronics and Communication Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, India","institution_ids":["https://openalex.org/I118826373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044885565","display_name":"A. Jasmine Gnana Malar","orcid":null},"institutions":[{"id":"https://openalex.org/I118826373","display_name":"Tirunelveli Medical College","ror":"https://ror.org/01c4srk95","country_code":"IN","type":"education","lineage":["https://openalex.org/I118826373"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A. Jasmine Gnana Malar","raw_affiliation_strings":["Department of Electrical Electronics and Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Electronics and Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, India","institution_ids":["https://openalex.org/I118826373"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039526695","display_name":"R. Jothin","orcid":"https://orcid.org/0000-0002-3188-6858"},"institutions":[{"id":"https://openalex.org/I118826373","display_name":"Tirunelveli Medical College","ror":"https://ror.org/01c4srk95","country_code":"IN","type":"education","lineage":["https://openalex.org/I118826373"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Jothin","raw_affiliation_strings":["Electronics and Communication Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Electronics and Communication Engineering, PSN College of Engineering and Technology, Tirunelveli, Tamil Nadu, India","institution_ids":["https://openalex.org/I118826373"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082575954"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1807,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78470677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"45","issue":"2","first_page":"3137","last_page":"3148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9821000099182129,"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/T11925","display_name":"Culinary Culture and Tourism","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7385303974151611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6116411685943604},{"id":"https://openalex.org/keywords/food-energy","display_name":"Food energy","score":0.549462616443634},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5431299805641174},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5252938866615295},{"id":"https://openalex.org/keywords/calorie","display_name":"Calorie","score":0.5244267582893372},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5228952765464783},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.48836132884025574},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4780424237251282},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4502888023853302},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39927899837493896},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10803142189979553}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7385303974151611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6116411685943604},{"id":"https://openalex.org/C116019233","wikidata":"https://www.wikidata.org/wiki/Q186205","display_name":"Food energy","level":2,"score":0.549462616443634},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5431299805641174},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5252938866615295},{"id":"https://openalex.org/C40438245","wikidata":"https://www.wikidata.org/wiki/Q130964","display_name":"Calorie","level":2,"score":0.5244267582893372},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5228952765464783},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.48836132884025574},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4780424237251282},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4502888023853302},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39927899837493896},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10803142189979553},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-230193","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-230193","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2600415518","https://openalex.org/W2749140231","https://openalex.org/W2786853203","https://openalex.org/W2789501477","https://openalex.org/W2794393374","https://openalex.org/W2803878213","https://openalex.org/W2804101745","https://openalex.org/W2807481974","https://openalex.org/W2906920259","https://openalex.org/W2941375172","https://openalex.org/W2955735082","https://openalex.org/W2980441700","https://openalex.org/W2981065027","https://openalex.org/W2996736174","https://openalex.org/W3017284158","https://openalex.org/W3025736586","https://openalex.org/W3032415421","https://openalex.org/W3046206337","https://openalex.org/W3120942332","https://openalex.org/W3147794878","https://openalex.org/W3152805968","https://openalex.org/W4249752222","https://openalex.org/W6747925932","https://openalex.org/W6748897193","https://openalex.org/W6752246266","https://openalex.org/W6756496675","https://openalex.org/W6769275004","https://openalex.org/W6769729622","https://openalex.org/W6777380203","https://openalex.org/W6793635360","https://openalex.org/W6793723358"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W4321369474","https://openalex.org/W2731899572","https://openalex.org/W3133861977","https://openalex.org/W4200173597","https://openalex.org/W3116150086","https://openalex.org/W2999805992","https://openalex.org/W4380075502","https://openalex.org/W2790662084","https://openalex.org/W3208266890"],"abstract_inverted_index":{"Foods":[0],"are":[1,29,83,103,129],"very":[2],"essential":[3],"for":[4,7,137],"living":[5],"beings":[6],"providing":[8],"energy,":[9],"development":[10],"and":[11,23,95,124,163,165,196,209],"preserve":[12],"their":[13,37,48,77],"existence.":[14],"It":[15],"plays":[16],"a":[17,42,54],"vital":[18],"role":[19],"in":[20,47,190],"promoting":[21],"health":[22],"preventing":[24],"illness.":[25],"Nowadays,":[26],"many":[27],"people":[28],"suffered":[30],"from":[31,73],"obesity,":[32],"they":[33],"tend":[34],"to":[35,67,90,117,149],"maintain":[36],"body":[38],"weight":[39],"by":[40],"consuming":[41],"sufficient":[43],"number":[44],"of":[45,175,184,192,206],"calories":[46],"routine":[49],"life.":[50],"In":[51],"this":[52],"research,":[53],"novel":[55],"Modified":[56],"Deep":[57,214],"Learning-based":[58],"Food":[59],"Item":[60],"Classification":[61],"(MDEEPFIC)":[62],"approach":[63],"has":[64],"been":[65],"proposed":[66,186,200],"categorize":[68],"the":[69,74,81,86,92,97,100,133,172,176,185,203],"different":[70],"food":[71,139,151,160,178],"items":[72],"dataset":[75],"with":[76],"calorie":[78,140,164,173],"values.":[79],"Initially,":[80],"images":[82,102],"processed":[84],"using":[85,105,132,159],"sigmoid":[87],"stretching":[88],"method":[89,187,201,233],"enhance":[91],"image":[93],"quality":[94],"remove":[96],"noises.":[98],"Consequently,":[99],"pre-processed":[101],"segmented":[104],"Improved":[106],"Watershed":[107],"Segmentation":[108,227],"(IWS2)":[109],"algorithm.":[110],"Recurrent":[111,220],"Neural":[112,216],"Network":[113,217],"(RNN)":[114],"is":[115,147,180],"used":[116],"extract":[118],"features":[119,128],"like":[120],"shape,":[121],"size,":[122],"textures,":[123],"color.":[125],"The":[126,182,199],"extracted":[127],"then":[130],"normalized":[131],"modified":[134],"dragonfly":[135],"technique":[136],"same":[138],"calculation.":[141],"Bidirectional":[142],"Long":[143],"Short-Term":[144],"Memory":[145],"(Bi-LSTM)":[146],"utilized":[148],"classify":[150],"products":[152],"based":[153,168,228],"on":[154,169],"these":[155],"pertinent":[156],"aspects.":[157],"Finally,":[158],"area":[161],"volume":[162],"nutrition":[166],"measures":[167],"mass":[170],"value,":[171],"value":[174],"categorized":[177],"item":[179],"calculated.":[181],"efficiency":[183],"was":[188],"calculated":[189],"terms":[191],"specificity,":[193],"precision,":[194],"accuracy,":[195],"recall":[197],"F-measure.":[198],"improves":[202],"overall":[204],"accuracy":[205],"4.99%,":[207],"8.72%,":[208],"10.4%":[210],"better":[211],"than":[212],"existing":[213],"Convolution":[215],"(DCNN),":[218],"Faster":[219],"convolution":[221],"neural":[222],"network":[223],"(FRCNN),":[224],"Local":[225],"Variation":[226],"Support":[229],"Vector":[230],"Machine":[231],"(LSV-SVM)":[232],"respectively.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}