{"id":"https://openalex.org/W4281663827","doi":"https://doi.org/10.1155/2022/5841630","title":"Secure MRI Brain Image Transmission Using IOT Devices Based on Hybrid Autoencoder and Restricted Boltzmann Approach","display_name":"Secure MRI Brain Image Transmission Using IOT Devices Based on Hybrid Autoencoder and Restricted Boltzmann Approach","publication_year":2022,"publication_date":"2022-05-29","ids":{"openalex":"https://openalex.org/W4281663827","doi":"https://doi.org/10.1155/2022/5841630"},"language":"en","primary_location":{"id":"doi:10.1155/2022/5841630","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/5841630","pdf_url":"https://arxiv.org/pdf/1707.07932","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://arxiv.org/pdf/1707.07932","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"S. Aruna Deepthi","orcid":"https://orcid.org/0000-0003-3674-4178"},"institutions":[{"id":"https://openalex.org/I52035452","display_name":"Jawaharlal Nehru Technological University Anantapur","ror":"https://ror.org/02rw39616","country_code":"IN","type":"education","lineage":["https://openalex.org/I52035452"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. Aruna Deepthi","raw_affiliation_strings":["JNTUA Anantapuramu, Anantapuramu, India"],"raw_orcid":"https://orcid.org/0000-0003-3674-4178","affiliations":[{"raw_affiliation_string":"JNTUA Anantapuramu, Anantapuramu, India","institution_ids":["https://openalex.org/I52035452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045481144","display_name":"E. Sreenivasa Rao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"E. Sreenivasa Rao","raw_affiliation_strings":["Vasavi College of Engineering, Hyderabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vasavi College of Engineering, Hyderabad, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090099556","display_name":"M. N. Giriprasad","orcid":null},"institutions":[{"id":"https://openalex.org/I52035452","display_name":"Jawaharlal Nehru Technological University Anantapur","ror":"https://ror.org/02rw39616","country_code":"IN","type":"education","lineage":["https://openalex.org/I52035452"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. N. Giriprasad","raw_affiliation_strings":["JNTUA Anantapuramu, Anantapuramu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JNTUA Anantapuramu, Anantapuramu, India","institution_ids":["https://openalex.org/I52035452"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52035452"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.5076,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62948047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9904999732971191,"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"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7209990620613098},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7125797867774963},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.687487781047821},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6404733657836914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5365439057350159},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5075792074203491},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4624398648738861},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4339807629585266},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33479374647140503},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.32294270396232605},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1018364429473877}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7209990620613098},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7125797867774963},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.687487781047821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6404733657836914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5365439057350159},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5075792074203491},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4624398648738861},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4339807629585266},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33479374647140503},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.32294270396232605},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1018364429473877},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/2022/5841630","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/5841630","pdf_url":"https://arxiv.org/pdf/1707.07932","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/2022/5841630","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/5841630","pdf_url":"https://arxiv.org/pdf/1707.07932","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281663827.pdf","grobid_xml":"https://content.openalex.org/works/W4281663827.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W11937045","https://openalex.org/W1973145885","https://openalex.org/W2033000533","https://openalex.org/W2039937002","https://openalex.org/W2043273682","https://openalex.org/W2058283171","https://openalex.org/W2102798395","https://openalex.org/W2115587952","https://openalex.org/W2116086537","https://openalex.org/W2137163647","https://openalex.org/W2142276208","https://openalex.org/W2147054267","https://openalex.org/W2148593155","https://openalex.org/W2160501407","https://openalex.org/W2251393295","https://openalex.org/W2264175841","https://openalex.org/W2340642991","https://openalex.org/W2518410112","https://openalex.org/W2565516711","https://openalex.org/W2617044523","https://openalex.org/W2738338810","https://openalex.org/W2746329898","https://openalex.org/W2752558629","https://openalex.org/W2766934651","https://openalex.org/W2792905960","https://openalex.org/W2798309714","https://openalex.org/W2805418444","https://openalex.org/W2810138651","https://openalex.org/W2896308492","https://openalex.org/W2898157001","https://openalex.org/W2904470741","https://openalex.org/W2913713055","https://openalex.org/W2933430363","https://openalex.org/W3000531014","https://openalex.org/W3012210288","https://openalex.org/W3038335171","https://openalex.org/W3088732000","https://openalex.org/W3093836035","https://openalex.org/W3118968192","https://openalex.org/W3133397640","https://openalex.org/W4205452042","https://openalex.org/W4297817064"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W3024479225","https://openalex.org/W3171371563","https://openalex.org/W3133954817","https://openalex.org/W3003847115","https://openalex.org/W4390846322"],"abstract_inverted_index":{"In":[0,43,57,141],"recent":[1,59],"times,":[2],"the":[3,13,20,29,37,44,48,58,61,95,106,113,120,124,137,166,170,196,213,231,239,255,277,286,305,318,323,331],"medical":[4,49,64,91,102,126,167,217,232,278,324],"image":[5,50,74,92,103,233],"processing":[6],"solves":[7],"several":[8],"clinical":[9,21,41],"issues":[10],"by":[11],"inspecting":[12],"visual":[14],"images,":[15,325],"which":[16,69,159,326],"are":[17,70,99,110,133,204,283],"generated":[18],"in":[19,112,317],"health":[22,156],"care":[23,157],"units.":[24],"The":[25,128,201,219,280,307],"main":[26],"objective":[27],"of":[28,63,89,175,216,254,269,276,304],"research":[30,55],"is":[31,52,66,78,150,192,222,236,327],"to":[32,136,143,152,211,293,313,330],"gain":[33],"valuable":[34],"information":[35],"from":[36,72,123],"images":[38,65],"for":[39,81,84,101,117,194,206,273],"better":[40,328],"diagnosis.":[42],"biomedical":[45],"engineering":[46],"domain,":[47],"analysis":[51],"an":[53],"emerging":[54],"topic.":[56],"decades,":[60],"use":[62],"highly":[67],"growing,":[68],"acquired":[71],"different":[73],"modalities;":[75],"so,":[76,190],"there":[77],"a":[79,145,154,186,299],"necessity":[80],"data":[82,162],"compression":[83,234],"transmission,":[85],"storage,":[86],"and":[87,164,183,210,246,251,262,297],"management":[88],"digital":[90],"datasets.":[93,127],"Hence,":[94],"machine":[96,114],"learning":[97,108,115,119,131,241],"methods":[98],"effective":[100,134],"analysis,":[104],"where":[105],"deep":[107,130,240],"models":[109,132],"used":[111,151],"tools":[116],"automatically":[118],"feature":[121],"vectors":[122],"huge":[125],"automated":[129],"compared":[135,329],"conventional":[138],"handcrafted":[139],"features.":[140],"addition":[142],"this,":[144],"wireless":[146],"sensor":[147,176,202],"network":[148],"(WSN)":[149],"create":[153],"primary":[155],"scheme,":[158],"brings":[160],"patient":[161],"together":[163],"expands":[165],"conveniences,":[168],"whereas":[169],"WSN":[171,199,256],"design":[172],"must":[173],"comprise":[174],"nodes,":[177],"because":[178],"it":[179,191],"consumes":[180],"less":[181],"power":[182],"resources":[184],"at":[185],"relatively":[187],"low":[188],"cost;":[189],"essential":[193],"implementing":[195],"Raspberry":[197,260],"Pi-based":[198],"nodes.":[200],"nodes":[203,258],"important":[205],"limited":[207],"battery":[208],"capacity":[209],"transmit":[212],"vast":[214],"amount":[215],"data.":[218],"proposed":[220,308],"work":[221],"broadly":[223],"classified":[224],"into":[225],"two":[226],"categories":[227],"such":[228],"as":[229],"(i)":[230],"algorithm":[235],"developed":[237],"using":[238,285],"model":[242,309],"based":[243],"on":[244],"autoencoders":[245],"restricted":[247],"Boltzmann":[248],"machines":[249],"(RBM)":[250],"(ii)":[252],"implementation":[253,303],"sensors":[257],"with":[259],"Pi":[261],"Messaging":[263],"Queue":[264],"Telemetry":[265],"Transport":[266],"(MQTT)":[267],"Internet":[268],"Things":[270],"(IoT)":[271],"protocol":[272],"secure":[274],"transmission":[275],"images.":[279],"experimental":[281],"results":[282],"evaluated":[284],"standard":[287],"performance":[288],"metrics":[289],"like":[290],"peak":[291],"signal":[292],"noise":[294],"ratio":[295],"(PSNR)":[296],"presented":[298],"Real-Time":[300],"Linux":[301],"(RTL)":[302],"design.":[306],"showed":[310],"10":[311],"dB":[312,315],"15":[314],"improvement":[316],"PSNR":[319],"value,":[320],"while":[321],"transmitting":[322],"existing":[332],"model.":[333]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-22T06:23:43.705686","created_date":"2025-10-10T00:00:00"}
