{"id":"https://openalex.org/W3036977362","doi":"https://doi.org/10.1109/tmbmc.2020.3003532","title":"Inference in Turbulent Molecular Information Channels Using Support Vector Machine","display_name":"Inference in Turbulent Molecular Information Channels Using Support Vector Machine","publication_year":2020,"publication_date":"2020-06-18","ids":{"openalex":"https://openalex.org/W3036977362","doi":"https://doi.org/10.1109/tmbmc.2020.3003532","mag":"3036977362"},"language":"en","primary_location":{"id":"doi:10.1109/tmbmc.2020.3003532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmbmc.2020.3003532","pdf_url":null,"source":{"id":"https://openalex.org/S2490853239","display_name":"IEEE Transactions on Molecular Biological and Multi-Scale Communications","issn_l":"2332-7804","issn":["2332-7804","2372-2061"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Molecular, Biological and Multi-Scale Communications","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/A5052179530","display_name":"Jing Li","orcid":"https://orcid.org/0000-0001-6990-1526"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Li","raw_affiliation_strings":["School of Computer and Communications Engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":"https://orcid.org/0000-0001-6990-1526","affiliations":[{"raw_affiliation_string":"School of Computer and Communications Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005181865","display_name":"Wence Zhang","orcid":"https://orcid.org/0000-0002-0160-7803"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wence Zhang","raw_affiliation_strings":["School of Computer and Communications Engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":"https://orcid.org/0000-0002-0160-7803","affiliations":[{"raw_affiliation_string":"School of Computer and Communications Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015049802","display_name":"Xu Bao","orcid":"https://orcid.org/0000-0003-0347-5709"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Bao","raw_affiliation_strings":["School of Computer and Communications Engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":"https://orcid.org/0000-0003-0347-5709","affiliations":[{"raw_affiliation_string":"School of Computer and Communications Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009425930","display_name":"Mahmoud Abbaszadeh","orcid":"https://orcid.org/0000-0002-3736-2086"},"institutions":[{"id":"https://openalex.org/I39555362","display_name":"University of Warwick","ror":"https://ror.org/01a77tt86","country_code":"GB","type":"education","lineage":["https://openalex.org/I39555362"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mahmoud Abbaszadeh","raw_affiliation_strings":["School of Engineering, University of Warwick, Coventry, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3736-2086","affiliations":[{"raw_affiliation_string":"School of Engineering, University of Warwick, Coventry, U.K","institution_ids":["https://openalex.org/I39555362"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062362866","display_name":"Weisi Guo","orcid":"https://orcid.org/0000-0003-3524-3953"},"institutions":[{"id":"https://openalex.org/I4210128584","display_name":"The Alan Turing Institute","ror":"https://ror.org/035dkdb55","country_code":"GB","type":"facility","lineage":["https://openalex.org/I4210128584"]},{"id":"https://openalex.org/I82284825","display_name":"Cranfield University","ror":"https://ror.org/05cncd958","country_code":"GB","type":"education","lineage":["https://openalex.org/I82284825"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Weisi Guo","raw_affiliation_strings":["Alan Turing Institute, London, U.K","School of Aerospace, Transport, and Manufacturing, Cranfield University, Bedford, U.K"],"raw_orcid":"https://orcid.org/0000-0003-3524-3953","affiliations":[{"raw_affiliation_string":"Alan Turing Institute, London, U.K","institution_ids":["https://openalex.org/I4210128584"]},{"raw_affiliation_string":"School of Aerospace, Transport, and Manufacturing, Cranfield University, Bedford, U.K","institution_ids":["https://openalex.org/I82284825"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052179530"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":null,"apc_paid":null,"fwci":0.4355,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.5837688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":"1","first_page":"25","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13052","display_name":"Molecular Communication and Nanonetworks","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T13052","display_name":"Molecular Communication and Nanonetworks","score":1.0,"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/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9887999892234802,"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/T11932","display_name":"Wireless Body Area Networks","score":0.9832000136375427,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.8722513914108276},{"id":"https://openalex.org/keywords/molecular-communication","display_name":"Molecular communication","score":0.8694902658462524},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6110687851905823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5891377329826355},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5672655701637268},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5246298909187317},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5157997608184814},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.48648616671562195},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.45735445618629456},{"id":"https://openalex.org/keywords/turbulence","display_name":"Turbulence","score":0.4153672754764557},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3877967596054077},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.355882465839386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35071736574172974},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.24535545706748962},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2408052682876587},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2371000051498413},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.08770430088043213}],"concepts":[{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.8722513914108276},{"id":"https://openalex.org/C2779767902","wikidata":"https://www.wikidata.org/wiki/Q17037278","display_name":"Molecular communication","level":4,"score":0.8694902658462524},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6110687851905823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5891377329826355},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5672655701637268},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5246298909187317},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5157997608184814},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.48648616671562195},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.45735445618629456},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.4153672754764557},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3877967596054077},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.355882465839386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35071736574172974},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.24535545706748962},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2408052682876587},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2371000051498413},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.08770430088043213},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmbmc.2020.3003532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmbmc.2020.3003532","pdf_url":null,"source":{"id":"https://openalex.org/S2490853239","display_name":"IEEE Transactions on Molecular Biological and Multi-Scale Communications","issn_l":"2332-7804","issn":["2332-7804","2372-2061"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Molecular, Biological and Multi-Scale Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3037308758","display_name":null,"funder_award_id":"BK20170557","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G6001134584","display_name":null,"funder_award_id":"61701198","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8249823029","display_name":null,"funder_award_id":"61772243","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321410","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W323536346","https://openalex.org/W1484609840","https://openalex.org/W1535628707","https://openalex.org/W1569862825","https://openalex.org/W1602492977","https://openalex.org/W1863405838","https://openalex.org/W1973151289","https://openalex.org/W1993626874","https://openalex.org/W2049647155","https://openalex.org/W2101369166","https://openalex.org/W2109943925","https://openalex.org/W2118585731","https://openalex.org/W2161637076","https://openalex.org/W2168002711","https://openalex.org/W2283328021","https://openalex.org/W2462393420","https://openalex.org/W2464824114","https://openalex.org/W2505038626","https://openalex.org/W2550079633","https://openalex.org/W2550261428","https://openalex.org/W2565758905","https://openalex.org/W2607447150","https://openalex.org/W2751533814","https://openalex.org/W2786361328","https://openalex.org/W2806067978","https://openalex.org/W2808433654","https://openalex.org/W2809731233","https://openalex.org/W2888983923","https://openalex.org/W2896710189","https://openalex.org/W2904050150","https://openalex.org/W2946414050","https://openalex.org/W2946818508","https://openalex.org/W2949673699","https://openalex.org/W2953080967","https://openalex.org/W2962847463","https://openalex.org/W2962929666","https://openalex.org/W2963584577","https://openalex.org/W2969903051","https://openalex.org/W2975724997","https://openalex.org/W3008549387","https://openalex.org/W3100991707","https://openalex.org/W3103588088","https://openalex.org/W3105225656","https://openalex.org/W6677656871"],"related_works":["https://openalex.org/W4386212476","https://openalex.org/W2780302907","https://openalex.org/W2725701533","https://openalex.org/W2150853451","https://openalex.org/W2997185736","https://openalex.org/W4212960144","https://openalex.org/W2338475247","https://openalex.org/W1577569365","https://openalex.org/W4214831766","https://openalex.org/W2950822845"],"abstract_inverted_index":{"Inference":[0],"of":[1,17,47,91,136],"transmitter":[2,50,75,100,164,190],"side":[3],"information":[4,39,166],"is":[5,22,66],"essential":[6],"to":[7,73,124,148],"communication.":[8],"In":[9,83],"Molecular":[10,92],"Communication":[11,93],"(MC),":[12],"whilst":[13],"the":[14,45,126,131,142,150],"Bayesian":[15],"inference":[16],"mass":[18],"diffusion":[19,26],"channel":[20],"parameters":[21],"well":[23],"established,":[24],"turbulent":[25],"(TD)":[27],"channels":[28],"are":[29],"not":[30],"well-understood.":[31],"Cascading":[32],"vortices":[33],"rapidly":[34],"transform":[35],"transmitted":[36,61],"momentum":[37],"(molecular":[38],"puffs)":[40],"into":[41],"heat,":[42],"which":[43],"raises":[44],"challenge":[46],"receiver":[48,80,137,153,172,195],"inferring":[49,60],"information.":[51],"Our":[52],"initial":[53],"results":[54,184],"found":[55],"that":[56,186],"in":[57,163,199],"TD":[58],"channels,":[59],"molecular":[62,103],"concentration":[63,114],"or":[64],"timing":[65],"challenging.":[67],"As":[68],"such,":[69],"we":[70,86,140],"were":[71],"motivated":[72],"infer":[74],"velocity":[76,165,187],"from":[77],"a":[78,99,111],"flexible":[79],"sample":[81],"area.":[82],"this":[84],"paper,":[85],"consider":[87],"an":[88],"unbounded":[89],"scenario":[90],"via":[94],"Turbulent":[95],"Diffusion":[96],"(MCvTD)":[97],"where":[98],"injects":[101],"several":[102],"puffs":[104],"with":[105,168,193],"different":[106],"velocities.":[107,128],"We":[108],"first":[109],"developed":[110],"time":[112],"difference":[113],"(TDC)":[115],"method":[116],"based":[117],"on":[118],"large-scale":[119],"support":[120],"vector":[121],"machine":[122],"(SVM)":[123],"distinguish":[125],"injection":[127],"To":[129],"trade-off":[130,174],"prediction":[132],"accuracy":[133,162],"and":[134,191],"number":[135],"spatial":[138],"samples,":[139],"propose":[141],"stepwise":[143],"maximum":[144],"variance":[145],"(SMV)":[146],"algorithm":[147],"select":[149],"limited":[151],"dominant":[152],"sampling":[154],"locations.":[155],"The":[156,182],"overall":[157],"performance":[158],"can":[159],"achieve":[160],"100%":[161],"recovery,":[167],"excellent":[169],"error":[170,177],"vs.":[171],"size":[173],"(e.g.,":[175],"5%":[176],"for":[178],"74%":[179],"area":[180],"reduction).":[181],"research":[183],"indicate":[185],"modulation":[188],"at":[189],"TDC":[192],"SVM":[194],"should":[196],"be":[197],"used":[198],"MCvTD":[200],"channels.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
