{"id":"https://openalex.org/W6925883933","doi":"https://doi.org/10.21227/ytkm-xp81","title":"Explainability of Neural Networks for Symbol Detection in Molecular Communication Channels","display_name":"Explainability of Neural Networks for Symbol Detection in Molecular Communication Channels","publication_year":2023,"publication_date":"2023-04-27","ids":{"openalex":"https://openalex.org/W6925883933","doi":"https://doi.org/10.21227/ytkm-xp81"},"language":"en","primary_location":{"id":"doi:10.21227/ytkm-xp81","is_oa":true,"landing_page_url":"https://doi.org/10.21227/ytkm-xp81","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/ytkm-xp81","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Torres G\u00f3mez, Jorge","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Torres G\u00f3mez, Jorge","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Hofmann, Pit","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hofmann, Pit","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Frank H.P. , Frank H.P.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Frank H.P. , Frank H.P.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Dressler, Falko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dressler, Falko","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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":true,"primary_topic":{"id":"https://openalex.org/T11546","display_name":"Plant Physiology and Cultivation Studies","score":0.34929999709129333,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11546","display_name":"Plant Physiology and Cultivation Studies","score":0.34929999709129333,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12605","display_name":"Berry genetics and cultivation research","score":0.09220000356435776,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12834","display_name":"Flowering Plant Growth and Cultivation","score":0.07429999858140945,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/molecular-communication","display_name":"Molecular communication","score":0.7973999977111816},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6473000049591064},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.6255999803543091},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.5404999852180481},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5126000046730042},{"id":"https://openalex.org/keywords/molecule","display_name":"Molecule","score":0.4352000057697296},{"id":"https://openalex.org/keywords/ethanol","display_name":"Ethanol","score":0.4350999891757965},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4237000048160553}],"concepts":[{"id":"https://openalex.org/C2779767902","wikidata":"https://www.wikidata.org/wiki/Q17037278","display_name":"Molecular communication","level":4,"score":0.7973999977111816},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6473000049591064},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.6255999803543091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6018999814987183},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.5404999852180481},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.5145999789237976},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5126000046730042},{"id":"https://openalex.org/C32909587","wikidata":"https://www.wikidata.org/wiki/Q11369","display_name":"Molecule","level":2,"score":0.4352000057697296},{"id":"https://openalex.org/C2780161600","wikidata":"https://www.wikidata.org/wiki/Q153","display_name":"Ethanol","level":2,"score":0.4350999891757965},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4237000048160553},{"id":"https://openalex.org/C2781066024","wikidata":"https://www.wikidata.org/wiki/Q156","display_name":"Alcohol","level":2,"score":0.41499999165534973},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.3901999890804291},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3880999982357025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3855000138282776},{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.382099986076355},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.34700000286102295},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32499998807907104},{"id":"https://openalex.org/C2992059726","wikidata":"https://www.wikidata.org/wiki/Q15847215","display_name":"Chemical communication","level":3,"score":0.32109999656677246},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.31690001487731934},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.29670000076293945},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2944999933242798},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27129998803138733},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/ytkm-xp81","is_oa":true,"landing_page_url":"https://doi.org/10.21227/ytkm-xp81","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/ytkm-xp81","is_oa":true,"landing_page_url":"https://doi.org/10.21227/ytkm-xp81","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"data":[1],"set":[2,13],"is":[3,89,93],"from":[4],"a":[5,12,24,51,71],"macroscale":[6],"molecular":[7],"communication":[8],"testbed":[9],"and":[10,62],"provides":[11],"of":[14,23,35,81,103],"experimental":[15],"measurement":[16],"data.":[17],"The":[18,46,91],"molecules":[19,47,84],"used":[20],"are":[21,48],"composed":[22],"diluted":[25],"alcoholic":[26],"solution,":[27],"i.e.,":[28],"ethanol":[29,83,105],"molecules.":[30],"We":[31],"mixed":[32],"four":[33],"parts":[34],"water":[36],"with":[37,41,70],"one":[38],"part":[39],"ethanol,":[40],"the":[42,54,59,67,78,82,86,100,104,107,110],"mass":[43],"ratio":[44],"1/4.":[45],"released":[49],"by":[50],"mechanism":[52],"at":[53,66],"transmitter":[55],"side,":[56],"propagate":[57],"through":[58],"free-space":[60],"channel,":[61],"can":[63],"be":[64],"detected":[65],"receiver":[68,87],"side":[69,88],"commercial-off-the-shelf":[72],"alcohol":[73],"sensor.":[74],"Every":[75],"0.1":[76],"seconds,":[77],"current":[79],"concentration":[80,102],"on":[85],"measured.":[90],"information":[92],"consequently":[94],"encoded":[95],"into":[96],"temporal":[97,101],"sequences":[98],"(here":[99],"molecules).&nbsp;Furthermore,":[106],"dataset":[108],"contains":[109],"Matlab":[111],"processing":[112],"code.&nbsp;":[113]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
