{"id":"https://openalex.org/W2993005371","doi":null,"title":"Enhanced Deep Network Designs Using Mitochondrial DNA Based Genetic Algorithm And Importance Sampling","display_name":"Enhanced Deep Network Designs Using Mitochondrial DNA Based Genetic Algorithm And Importance Sampling","publication_year":2019,"publication_date":"2019-12-03","ids":{"openalex":"https://openalex.org/W2993005371","mag":"2993005371"},"language":"en","primary_location":{"id":"pmh:oai:scholarworks.bridgeport.edu:123456789/4317","doi":null,"is_oa":true,"landing_page_url":"https://scholarworks.bridgeport.edu/xmlui/handle/123456789/4317","pdf_url":"https://scholarworks.bridgeport.edu/xmlui/handle/123456789/4317","source":{"id":"https://openalex.org/S4306400238","display_name":"University of Bridgeport ScholarWorks (University of Bridgeport)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I154300980","host_organization_name":"University of Bridgeport","host_organization_lineage":["https://openalex.org/I154300980"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://scholarworks.bridgeport.edu/xmlui/handle/123456789/4317","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046523094","display_name":"Ajay Shrestha","orcid":"https://orcid.org/0000-0001-5595-5953","observed_orcids":["https://orcid.org/0000-0001-5595-5953"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ajay Shrestha","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5595-5953","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5046523094"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.5404999852180481,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.5404999852180481,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.19300000369548798,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.1225999966263771,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/importance-sampling","display_name":"importance sampling","score":0.7049999833106995},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.8769999742507935},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9739999771118164},{"id":"https://openalex.org/keywords/monte-carlo-sampling","display_name":"Monte Carlo sampling","score":0.6010000109672546},{"id":"https://openalex.org/keywords/training-time-reduction","display_name":"training time reduction","score":0.8539999723434448},{"id":"https://openalex.org/keywords/model-accuracy","display_name":"model accuracy","score":0.8050000071525574}],"concepts":[{"id":"https://openalex.org/C24586158","wikidata":"https://www.wikidata.org/wiki/Q27075","display_name":"Mitochondrial DNA","level":3,"score":0.615571141242981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5084885358810425},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4967654347419739},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4944570064544678},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4849986732006073},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.41908761858940125},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2914324402809143},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.23101836442947388},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19793862104415894},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.12871229648590088},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.11043769121170044},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:scholarworks.bridgeport.edu:123456789/4317","doi":null,"is_oa":true,"landing_page_url":"https://scholarworks.bridgeport.edu/xmlui/handle/123456789/4317","pdf_url":"https://scholarworks.bridgeport.edu/xmlui/handle/123456789/4317","source":{"id":"https://openalex.org/S4306400238","display_name":"University of Bridgeport ScholarWorks (University of Bridgeport)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I154300980","host_organization_name":"University of Bridgeport","host_organization_lineage":["https://openalex.org/I154300980"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},{"id":"pmh:oai:null:20.500.14548/4317","doi":null,"is_oa":false,"landing_page_url":"https://scholarworks.bridgeport.edu/handle/20.500.14548/4317","pdf_url":null,"source":{"id":"https://openalex.org/S4306400238","display_name":"University of Bridgeport ScholarWorks (University of Bridgeport)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I154300980","host_organization_name":"University of Bridgeport","host_organization_lineage":["https://openalex.org/I154300980"],"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":"Thesis"},{"id":"mag:2993005371","doi":null,"is_oa":false,"landing_page_url":"https://scholarworks.bridgeport.edu/xmlui/handle/123456789/4317","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:scholarworks.bridgeport.edu:123456789/4317","doi":null,"is_oa":true,"landing_page_url":"https://scholarworks.bridgeport.edu/xmlui/handle/123456789/4317","pdf_url":"https://scholarworks.bridgeport.edu/xmlui/handle/123456789/4317","source":{"id":"https://openalex.org/S4306400238","display_name":"University of Bridgeport ScholarWorks (University of Bridgeport)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I154300980","host_organization_name":"University of Bridgeport","host_organization_lineage":["https://openalex.org/I154300980"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2993005371.pdf","grobid_xml":"https://content.openalex.org/works/W2993005371.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W3311279","https://openalex.org/W24635804","https://openalex.org/W391985582","https://openalex.org/W1522107594","https://openalex.org/W1544811214","https://openalex.org/W1584428002","https://openalex.org/W1876988356","https://openalex.org/W1924770834","https://openalex.org/W1973567017","https://openalex.org/W1978143441","https://openalex.org/W1984020445","https://openalex.org/W1988115241","https://openalex.org/W1998249907","https://openalex.org/W2040870580","https://openalex.org/W2054831469","https://openalex.org/W2074590419","https://openalex.org/W2086504823","https://openalex.org/W2086789740","https://openalex.org/W2095705004","https://openalex.org/W2100495367","https://openalex.org/W2103496339","https://openalex.org/W2106525823","https://openalex.org/W2107699930","https://openalex.org/W2111072639","https://openalex.org/W2112796928","https://openalex.org/W2114153178","https://openalex.org/W2118023920","https://openalex.org/W2119479037","https://openalex.org/W2124537004","https://openalex.org/W2136848157","https://openalex.org/W2138621090","https://openalex.org/W2146502635","https://openalex.org/W2157331557","https://openalex.org/W2158724449","https://openalex.org/W2162302786","https://openalex.org/W2163614729","https://openalex.org/W2164866963","https://openalex.org/W2173379916","https://openalex.org/W2173520492","https://openalex.org/W2177410802","https://openalex.org/W2194775991","https://openalex.org/W2271840356","https://openalex.org/W2279249285","https://openalex.org/W2301541953","https://openalex.org/W2487770199","https://openalex.org/W2507510427","https://openalex.org/W2522389818","https://openalex.org/W2525778437","https://openalex.org/W2581082771","https://openalex.org/W2609883120","https://openalex.org/W2901612843","https://openalex.org/W2921585011","https://openalex.org/W2949117887","https://openalex.org/W2950635152","https://openalex.org/W3121926921","https://openalex.org/W3123212791","https://openalex.org/W4256161595","https://openalex.org/W4298289240"],"related_works":["https://openalex.org/W3006974936","https://openalex.org/W3209156895","https://openalex.org/W2875435464","https://openalex.org/W6903834622","https://openalex.org/W2909621012","https://openalex.org/W2755102811","https://openalex.org/W2898258448","https://openalex.org/W3204663593","https://openalex.org/W6884991716","https://openalex.org/W6996761133"],"abstract_inverted_index":{"Machine":[0,64],"learning":[1,65,155,177,303],"(ML)":[2],"is":[3,87,160,190],"playing":[4],"an":[5],"increasingly":[6],"important":[7,226],"role":[8],"in":[9,18,40,67,74,95,106,289],"our":[10,188,297],"lives.":[11],"It":[12],"has":[13],"already":[14],"made":[15],"huge":[16],"impact":[17],"areas":[19,199],"such":[20],"as":[21],"cancer":[22],"diagnosis,":[23],"precision":[24],"medicine,":[25],"self-driving":[26],"cars,":[27],"natural":[28],"disasters":[29],"predictions,":[30],"speech":[31],"recognition,":[32],"etc.":[33],"The":[34,171,185],"painstakingly":[35],"handcrafted":[36],"feature":[37],"extractors":[38],"used":[39],"the":[41,68,75,91,142,205,224,233,240,259,267,274,290,310,313],"traditional":[42],"learning,":[43,122],"classification":[44],"and":[45,84,104,110,135,182,210,217,262,284,309,320],"pattern":[46],"recognition":[47],"systems":[48],"are":[49,178,221],"not":[50],"scalable":[51],"for":[52,175,244,300],"large-sized":[53],"datasets":[54],"or":[55,62],"adaptable":[56],"to":[57,115,125,152,191,195,238,257,292,315],"different":[58],"classes":[59],"of":[60,70,90,93,99,129,145,148,187,207,228,235,247,287,312],"problems":[61,119],"domains.":[63],"resurgence":[66],"form":[69,206],"Deep":[71],"Learning":[72],"(DL)":[73],"last":[76],"decade":[77],"after":[78],"multiple":[79],"AI":[80],"(artificial":[81],"intelligence)":[82],"winters":[83],"hype":[85],"cycles":[86],"a":[88,193],"result":[89],"convergence":[92],"advancements":[94],"training":[96,183,275,322],"algorithms,":[97,133],"availability":[98],"massive":[100,282],"data":[101],"(big":[102],"data)":[103],"innovation":[105],"compute":[107],"resources":[108],"(GPUs":[109],"cloud).":[111],"If":[112],"we":[113,123,280],"want":[114],"solve":[116],"more":[117,264],"complex":[118],"with":[120,162],"machine":[121,176,229],"need":[124],"optimize":[126],"all":[127,197],"three":[128],"these":[130,198],"areas,":[131],"i.e.,":[132],"dataset":[134,211,260,307],"compute.":[136],"Our":[137],"dissertation":[138,189],"research":[139],"work":[140],"presents":[141],"original":[143],"application":[144,234],"nature-inspired":[146],"idea":[147],"mitochondrial":[149,236],"DNA":[150,237],"(mtDNA)":[151],"improve":[153],"deep":[154,248,302],"network":[156,202],"design.":[157],"Additional":[158],"fine-tuning":[159],"provided":[161],"Monte":[163],"Carlo":[164],"based":[165],"method":[166,299],"called":[167],"importance":[168,218,255],"sampling":[169,256],"(IS).":[170],"primary":[172],"performance":[173],"indicators":[174],"model":[179,318],"accuracy,":[180],"loss":[181],"time.":[184,323],"goal":[186],"provide":[192],"framework":[194],"address":[196],"by":[200,222],"optimizing":[201],"designs":[203],"(in":[204],"hyperparameter":[208],"optimization)":[209],"using":[212],"enhanced":[213],"Genetic":[214],"Algorithm":[215],"(GA)":[216],"sampling.":[219],"Algorithms":[220],"far":[223],"most":[225],"aspect":[227],"learning.":[230],"We":[231,253],"demonstrate":[232],"complement":[239],"standard":[241],"genetic":[242],"algorithm":[243],"architecture":[245,305],"optimization":[246,308],"Convolution":[249],"Neural":[250],"Network":[251],"(CNN).":[252],"use":[254],"reduce":[258,321],"variance":[261],"sample":[263],"often":[265],"from":[266,273],"instances":[268],"that":[269],"add":[270],"greater":[271],"value":[272],"outcome":[276],"perspective.":[277],"And":[278],"finally,":[279],"leverage":[281],"parallel":[283],"distributed":[285],"processing":[286],"GPUs":[288],"cloud":[291,314],"speed":[293],"up":[294],"training.":[295],"Thus,":[296],"multi-approach":[298],"enhancing":[301],"combines":[304],"optimization,":[306],"power":[311],"drive":[316],"better":[317],"accuracy":[319]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2019-12-13T00:00:00"}