{"id":"https://openalex.org/W2967271816","doi":"https://doi.org/10.1109/access.2019.2935691","title":"A Resource Aware Parallelized Back Propagation Neural Network in Enabling Efficient Large-Scale Digital Health Data Processing","display_name":"A Resource Aware Parallelized Back Propagation Neural Network in Enabling Efficient Large-Scale Digital Health Data Processing","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2967271816","doi":"https://doi.org/10.1109/access.2019.2935691","mag":"2967271816"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2935691","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2935691","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08801835.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08801835.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100355984","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-7935-7146"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["College of Electrical Engineering, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-7935-7146","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019260306","display_name":"Xianbang Chen","orcid":"https://orcid.org/0000-0002-0127-6186"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianbang Chen","raw_affiliation_strings":["College of Electrical Engineering, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046289864","display_name":"Lixiong Xu","orcid":"https://orcid.org/0000-0002-1697-5684"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixiong Xu","raw_affiliation_strings":["College of Electrical Engineering, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101935845","display_name":"Huaqiang Li","orcid":"https://orcid.org/0000-0002-0716-4097"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaqiang Li","raw_affiliation_strings":["College of Electrical Engineering, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026237130","display_name":"Maozhen Li","orcid":"https://orcid.org/0000-0002-0820-5487"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Maozhen Li","raw_affiliation_strings":["Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, U.K","institution_ids":["https://openalex.org/I59433898"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8676,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80982427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"114700","last_page":"114713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9947999715805054,"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/T10320","display_name":"Neural Networks and Applications","score":0.9947999715805054,"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/T12676","display_name":"Machine Learning and ELM","score":0.992900013923645,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.844879150390625},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5523970723152161},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5096065998077393},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4355666935443878},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4302808344364166},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.4115551710128784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3433963656425476},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34290841221809387},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3388513922691345},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2560805678367615},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1910516321659088}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.844879150390625},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5523970723152161},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5096065998077393},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4355666935443878},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4302808344364166},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.4115551710128784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3433963656425476},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34290841221809387},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3388513922691345},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2560805678367615},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1910516321659088},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2019.2935691","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2935691","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08801835.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a5429ee12d294f40bcc9371e9220db59","is_oa":false,"landing_page_url":"https://doaj.org/article/a5429ee12d294f40bcc9371e9220db59","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 114700-114713 (2019)","raw_type":"article"},{"id":"pmh:oai:v-lib-bura1.brunel.ac.uk:2438/19492","is_oa":false,"landing_page_url":"https://bura.brunel.ac.uk/handle/2438/19492","pdf_url":null,"source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2935691","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2935691","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08801835.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2967271816.pdf","grobid_xml":"https://content.openalex.org/works/W2967271816.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1965046083","https://openalex.org/W1971482568","https://openalex.org/W1974179131","https://openalex.org/W1995676917","https://openalex.org/W1996438407","https://openalex.org/W2016055711","https://openalex.org/W2086964121","https://openalex.org/W2109552880","https://openalex.org/W2113291512","https://openalex.org/W2119814172","https://openalex.org/W2136807881","https://openalex.org/W2136824940","https://openalex.org/W2138840970","https://openalex.org/W2141491381","https://openalex.org/W2147320702","https://openalex.org/W2169309008","https://openalex.org/W2169690625","https://openalex.org/W2170902891","https://openalex.org/W2173213060","https://openalex.org/W2176499795","https://openalex.org/W2257455409","https://openalex.org/W2279613615","https://openalex.org/W2288369134","https://openalex.org/W2342594507","https://openalex.org/W2471927605","https://openalex.org/W2536373306","https://openalex.org/W2553100249","https://openalex.org/W2747515244","https://openalex.org/W2769497098","https://openalex.org/W2792235509","https://openalex.org/W2884552531","https://openalex.org/W2899477862","https://openalex.org/W2944842280","https://openalex.org/W6649353803","https://openalex.org/W6696877588","https://openalex.org/W6729051937","https://openalex.org/W6743032017"],"related_works":["https://openalex.org/W4206400463","https://openalex.org/W2157746493","https://openalex.org/W1532828117","https://openalex.org/W2792697259","https://openalex.org/W1495379181","https://openalex.org/W2080531293","https://openalex.org/W637433680","https://openalex.org/W2159443810","https://openalex.org/W1503222077","https://openalex.org/W2362738498"],"abstract_inverted_index":{"Along":[0],"with":[1,54,183,200],"the":[2,15,44,74,82,88,107,115,118,138,143,147,153,157,164,171,177,180,185,188,194,197,202,209,212],"development":[3],"of":[4,104,117,146,163,179,196,211],"digital":[5,56],"health,":[6],"efficient":[7],"machine":[8,21],"learning":[9,22,93],"is":[10,40,70],"anxiously":[11],"needed":[12],"to":[13,72,80],"handle":[14],"growing":[16],"health":[17,57],"data.":[18,58],"Among":[19],"various":[20],"algorithms,":[23],"back":[24],"propagation":[25],"neural":[26],"network":[27],"(BPNN)":[28],"shows":[29],"great":[30],"effectiveness":[31,210],"in":[32,52,169],"both":[33],"academia":[34],"and":[35,142],"industrial":[36],"fields.":[37],"However,":[38],"it":[39],"frequently":[41],"reported":[42],"that":[43],"conventional":[45],"BPNN":[46,67,217],"algorithm":[47,68,131,182,199],"encounters":[48],"low":[49],"efficiency":[50,116,195],"issue":[51,86],"dealing":[53],"large-scale":[55,75,203],"Therefore":[59],"this":[60,122],"paper":[61,123],"presents":[62,125],"a":[63,102,126],"Hadoop":[64,100],"based":[65,132],"parallelized":[66,89,119,148,216],"which":[69,136,170],"able":[71],"process":[73],"data":[76,90],"efficiently.":[77],"In":[78],"order":[79],"complement":[81],"potential":[83],"accuracy":[84,178],"loss":[85],"for":[87],"processing,":[91],"ensemble":[92],"techniques":[94],"are":[95,166],"also":[96,124],"involved.":[97],"Additionally":[98],"although":[99],"supplies":[101],"number":[103],"default":[105],"schedulers,":[106],"heterogeneous":[108],"distributed":[109],"computing":[110,139],"environment":[111],"may":[112],"still":[113],"impact":[114],"BPNN.":[120,149],"Consequently,":[121],"gene":[127],"expression":[128],"programming":[129],"(GEP)":[130],"load":[133],"balancing":[134],"approach,":[135],"enables":[137],"resource":[140,214],"awareness":[141],"optimal":[144],"scheduling":[145],"The":[150,205],"experiments":[151,165],"employ":[152],"classification":[154],"task":[155],"as":[156],"underlying":[158],"testing":[159],"basis.":[160],"Two":[161],"types":[162],"carried":[167],"out,":[168],"first":[172],"one":[173,190],"focuses":[174,191],"on":[175,192],"evaluating":[176,193],"presented":[181,198,213],"classifying":[184,201],"benchmark":[186],"dataset;":[187],"second":[189],"dataset.":[204],"experimental":[206],"results":[207],"show":[208],"aware":[215],"algorithm.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
