{"id":"https://openalex.org/W4403278878","doi":"https://doi.org/10.1109/is61756.2024.10705237","title":"Machine Learning for Bacterial Growth Prediction and Examination of Bacterial Impact on Growth","display_name":"Machine Learning for Bacterial Growth Prediction and Examination of Bacterial Impact on Growth","publication_year":2024,"publication_date":"2024-08-29","ids":{"openalex":"https://openalex.org/W4403278878","doi":"https://doi.org/10.1109/is61756.2024.10705237"},"language":"en","primary_location":{"id":"doi:10.1109/is61756.2024.10705237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is61756.2024.10705237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 12th International Conference on Intelligent Systems (IS)","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/A5108184257","display_name":"Volkan Ince","orcid":null},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Volkan Ince","raw_affiliation_strings":["School of Computing, University of Portsmouth,Portsmouth,UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth,Portsmouth,UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004388109","display_name":"Mohamed Bader\u2013El\u2013Den","orcid":"https://orcid.org/0000-0002-1123-6823"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mohamed Bader-El-Den","raw_affiliation_strings":["School of Computing, University of Portsmouth,Portsmouth,UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth,Portsmouth,UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060060808","display_name":"Farzad Arabikhan","orcid":"https://orcid.org/0000-0002-4336-2007"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Farzad Arabikhan","raw_affiliation_strings":["School of Computing, University of Portsmouth,Portsmouth,UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth,Portsmouth,UK","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093057063","display_name":"Omer Faruk Sari","orcid":"https://orcid.org/0009-0007-5777-9763"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Omer Faruk Sari","raw_affiliation_strings":["School of Computing, University of Portsmouth,Portsmouth,UK"],"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth,Portsmouth,UK","institution_ids":["https://openalex.org/I63072094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108184257"],"corresponding_institution_ids":["https://openalex.org/I63072094"],"apc_list":null,"apc_paid":null,"fwci":0.5001,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66195974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"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/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.7809000015258789,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular 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/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.7809000015258789,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular 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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.7215999960899353,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular 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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5354324579238892},{"id":"https://openalex.org/keywords/bacterial-growth","display_name":"Bacterial growth","score":0.5312986373901367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38698673248291016},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35565537214279175},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12137827277183533},{"id":"https://openalex.org/keywords/bacteria","display_name":"Bacteria","score":0.11277994513511658}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5354324579238892},{"id":"https://openalex.org/C17741926","wikidata":"https://www.wikidata.org/wiki/Q762045","display_name":"Bacterial growth","level":3,"score":0.5312986373901367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38698673248291016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35565537214279175},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12137827277183533},{"id":"https://openalex.org/C523546767","wikidata":"https://www.wikidata.org/wiki/Q10876","display_name":"Bacteria","level":2,"score":0.11277994513511658},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/is61756.2024.10705237","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is61756.2024.10705237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 12th International Conference on Intelligent Systems (IS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W194674552","https://openalex.org/W2000707592","https://openalex.org/W2031233906","https://openalex.org/W2078850217","https://openalex.org/W2084341220","https://openalex.org/W2115921802","https://openalex.org/W2119656264","https://openalex.org/W2155849565","https://openalex.org/W2163738737","https://openalex.org/W2464234006","https://openalex.org/W2794005407","https://openalex.org/W2890985374","https://openalex.org/W2896805537","https://openalex.org/W2997815612","https://openalex.org/W3003958231","https://openalex.org/W3048657902","https://openalex.org/W3092112152","https://openalex.org/W3118670782","https://openalex.org/W3135028703","https://openalex.org/W3163642729","https://openalex.org/W3206378017","https://openalex.org/W4211049957","https://openalex.org/W4281630308","https://openalex.org/W4293658192","https://openalex.org/W4318040963","https://openalex.org/W4386295563"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0,20,204],"recent":[1],"years,":[2],"the":[3,23,41,62,81,89,94,109,116,119,132,146,161,166,173,197,200,205,213,218,220,223,232,238,242,247,253,258,269,281],"growing":[4],"concern":[5],"about":[6],"bacterial":[7,51,122,157],"growth":[8,52,95],"has":[9],"become":[10],"a":[11,30,47,138],"significant":[12],"issue":[13],"in":[14,33,40,53,108,137,165,172,252,263,280],"food":[15,42,104,143,275,282],"safety":[16,105,276],"and":[17,35,91,106,124,142,196,277],"quality":[18,107,278],"assurance.":[19],"this":[21],"context,":[22],"increasing":[24],"use":[25],"of":[26,50,84,93,96,134,140,148,163,168,185,188,199,260,271],"machine":[27,58,113],"learning":[28,59,114],"plays":[29],"crucial":[31,101,250],"role":[32,162],"understanding":[34,264],"managing":[36],"these":[37,208],"microbial":[38,77,97,265],"processes":[39],"industry.":[43,110,283],"This":[44,255],"study":[45,117],"conducts":[46],"comprehensive":[48],"analysis":[49,153],"pork":[54],"products":[55],"by":[56,79],"integrating":[57],"methodologies":[60,262],"with":[61,241],"high-throughput":[63],"sequencing":[64],"technology":[65],"known":[66],"as":[67,246],"16S":[68],"rRNA":[69],"metabarcoding,":[70],"which":[71,128],"is":[72,129],"commonly":[73],"used":[74,130],"to":[75,193,268],"characterize":[76],"communities,":[78,266],"estimating":[80],"relative":[82],"abundance":[83],"microbes.":[85],"The":[86,182,227],"research":[87,256],"investigates":[88],"detection":[90],"prediction":[92],"populations":[98],"on":[99,237],"food,":[100],"for":[102,131,274],"safe-guarding":[103],"Utilizing":[111],"various":[112],"algorithms,":[115],"explores":[118],"relationship":[120],"between":[121,207],"quantities":[123],"tryptose-sulfite-cycloserine":[125],"agar":[126],"(TSC),":[127],"enumeration":[133],"Clostridium":[135,164,243],"organisms":[136],"variety":[139],"foods":[141],"ingredients.":[144],"Moreover,":[145],"integration":[147],"explainable":[149],"AI":[150],"(i.e.,":[151],"SHAP)":[152],"highlighted":[154],"specific":[155],"influential":[156],"genera,":[158,190,195],"particularly":[159],"emphasizing":[160],"context":[167],"TSC":[169],"values.":[170],"Additionally,":[171],"study,":[174],"feature":[175,211],"reduction":[176],"was":[177,191,202],"performed":[178],"using":[179],"SHAP":[180,228],"analysis.":[181],"initial":[183],"set":[184],"features,":[186],"consisting":[187],"200":[189],"reduced":[192],"8":[194],"impact":[198],"model":[201,216,234],"examined.":[203],"comparison":[206],"two":[209],"different":[210],"counts,":[212],"Multi-Layer":[214],"Perceptron":[215],"achieved":[217],"highest":[219],"area":[221],"under":[222],"curve":[224],"value":[225],"(0.85).":[226],"outcomes":[229],"indicated":[230],"that":[231],"MLP":[233],"heavily":[235],"depended":[236],"Carnobacterium":[239],"genus,":[240],"genus":[244,251],"emerging":[245],"second":[248],"most":[249],"model.":[254],"emphasizes":[257],"significance":[259],"advanced":[261],"contributing":[267],"development":[270],"robust":[272],"strategies":[273],"assurance":[279]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}