{"id":"https://openalex.org/W2989153048","doi":"https://doi.org/10.1109/icc40277.2020.9148617","title":"AI Aided Noise Processing of Spintronic Based IoT Sensor for Magnetocardiography Application","display_name":"AI Aided Noise Processing of Spintronic Based IoT Sensor for Magnetocardiography Application","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W2989153048","doi":"https://doi.org/10.1109/icc40277.2020.9148617","mag":"2989153048"},"language":"en","primary_location":{"id":"doi:10.1109/icc40277.2020.9148617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9148617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.03127","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049385580","display_name":"Attayeb Mohsen","orcid":"https://orcid.org/0000-0003-0690-8012"},"institutions":[{"id":"https://openalex.org/I4210086383","display_name":"National Institute of Biomedical Innovation, Health and Nutrition","ror":"https://ror.org/001rkbe13","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210086383"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Attayeb Mohsen","raw_affiliation_strings":["Artificial Intelligence Center for Health and Biomedical Research (ArCHER), National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Osaka, Japan","Artificial Intelligence Center for Health and Biomedical Research (ArCHER), National Institutes of Biomedical Innovation, Health, and Nutrition (NIBIOHN), Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Center for Health and Biomedical Research (ArCHER), National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Osaka, Japan","institution_ids":["https://openalex.org/I4210086383"]},{"raw_affiliation_string":"Artificial Intelligence Center for Health and Biomedical Research (ArCHER), National Institutes of Biomedical Innovation, Health, and Nutrition (NIBIOHN), Osaka, Japan","institution_ids":["https://openalex.org/I4210086383"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025694603","display_name":"Muftah Al\u2010Mahdawi","orcid":"https://orcid.org/0000-0001-7021-0829"},"institutions":[{"id":"https://openalex.org/I4210125833","display_name":"Spintronics Research Network of Japan","ror":"https://ror.org/03bbyax37","country_code":"JP","type":"facility","lineage":["https://openalex.org/I201537933","https://openalex.org/I203951103","https://openalex.org/I4210125833","https://openalex.org/I74801974","https://openalex.org/I98285908"]},{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Muftah Al-Mahdawi","raw_affiliation_strings":["Center for Science and Innovation in Spintronics (Core Research Cluster), Tohoku University, Sendai, Japan","[Center for Science and Innovation in Spintronics (Core Research Cluster), Tohoku University, Sendai, Japan]"],"affiliations":[{"raw_affiliation_string":"Center for Science and Innovation in Spintronics (Core Research Cluster), Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I4210125833","https://openalex.org/I201537933"]},{"raw_affiliation_string":"[Center for Science and Innovation in Spintronics (Core Research Cluster), Tohoku University, Sendai, Japan]","institution_ids":["https://openalex.org/I4210125833","https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068882573","display_name":"Mostafa M. Fouda","orcid":"https://orcid.org/0000-0003-1790-8640"},"institutions":[{"id":"https://openalex.org/I63920570","display_name":"Tennessee Technological University","ror":"https://ror.org/05drmrq39","country_code":"US","type":"education","lineage":["https://openalex.org/I63920570"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mostafa M. Fouda","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Tennessee Tech University, Cookeville, TN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Tennessee Tech University, Cookeville, TN, USA","institution_ids":["https://openalex.org/I63920570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023896222","display_name":"Mikihiko Oogane","orcid":"https://orcid.org/0000-0001-8056-2051"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]},{"id":"https://openalex.org/I4210125833","display_name":"Spintronics Research Network of Japan","ror":"https://ror.org/03bbyax37","country_code":"JP","type":"facility","lineage":["https://openalex.org/I201537933","https://openalex.org/I203951103","https://openalex.org/I4210125833","https://openalex.org/I74801974","https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mikihiko Oogane","raw_affiliation_strings":["Center for Science and Innovation in Spintronics (Core Research Cluster), Tohoku University, Sendai, Japan","[Center for Science and Innovation in Spintronics (Core Research Cluster), Tohoku University, Sendai, Japan]"],"affiliations":[{"raw_affiliation_string":"Center for Science and Innovation in Spintronics (Core Research Cluster), Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I4210125833","https://openalex.org/I201537933"]},{"raw_affiliation_string":"[Center for Science and Innovation in Spintronics (Core Research Cluster), Tohoku University, Sendai, Japan]","institution_ids":["https://openalex.org/I4210125833","https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042761229","display_name":"Yasuo Ando","orcid":"https://orcid.org/0000-0001-9472-3303"},"institutions":[{"id":"https://openalex.org/I4210125833","display_name":"Spintronics Research Network of Japan","ror":"https://ror.org/03bbyax37","country_code":"JP","type":"facility","lineage":["https://openalex.org/I201537933","https://openalex.org/I203951103","https://openalex.org/I4210125833","https://openalex.org/I74801974","https://openalex.org/I98285908"]},{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuo Ando","raw_affiliation_strings":["Center for Science and Innovation in Spintronics (Core Research Cluster), Tohoku University, Sendai, Japan","[Center for Science and Innovation in Spintronics (Core Research Cluster), Tohoku University, Sendai, Japan]"],"affiliations":[{"raw_affiliation_string":"Center for Science and Innovation in Spintronics (Core Research Cluster), Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I4210125833","https://openalex.org/I201537933"]},{"raw_affiliation_string":"[Center for Science and Innovation in Spintronics (Core Research Cluster), Tohoku University, Sendai, Japan]","institution_ids":["https://openalex.org/I4210125833","https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063911030","display_name":"Zubair Md. Fadlullah","orcid":"https://orcid.org/0000-0002-4785-2425"},"institutions":[{"id":"https://openalex.org/I72541430","display_name":"Lakehead University","ror":"https://ror.org/023p7mg82","country_code":"CA","type":"education","lineage":["https://openalex.org/I72541430"]},{"id":"https://openalex.org/I4210100115","display_name":"Thunder Bay Regional Research Institute","ror":"https://ror.org/013kbs677","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210100115"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zubair Md Fadlullah","raw_affiliation_strings":["Computer Science Department, Lakehead University, and Thunder Bay Regional Health Research Institute (TBRHRI), Thunder Bay, Ontario, Canada","[Computer Science Department, Lakehead University, and Thunder Bay Regional Health Research Institute (TBRHRI), Thunder Bay, Ontario, Canada]"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Lakehead University, and Thunder Bay Regional Health Research Institute (TBRHRI), Thunder Bay, Ontario, Canada","institution_ids":["https://openalex.org/I4210100115","https://openalex.org/I72541430"]},{"raw_affiliation_string":"[Computer Science Department, Lakehead University, and Thunder Bay Regional Health Research Institute (TBRHRI), Thunder Bay, Ontario, Canada]","institution_ids":["https://openalex.org/I4210100115","https://openalex.org/I72541430"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5049385580"],"corresponding_institution_ids":["https://openalex.org/I4210086383"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00295795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9945999979972839,"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/computer-science","display_name":"Computer science","score":0.745560348033905},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6488139033317566},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5975720882415771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5667654275894165},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5376796126365662},{"id":"https://openalex.org/keywords/software-portability","display_name":"Software portability","score":0.530075192451477},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4169297218322754},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4136025309562683},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4121333956718445},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3387223482131958},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.33856773376464844},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3206326365470886},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.24034565687179565},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1890524923801422},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.1867797076702118}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.745560348033905},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6488139033317566},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5975720882415771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5667654275894165},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5376796126365662},{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.530075192451477},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4169297218322754},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4136025309562683},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4121333956718445},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3387223482131958},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.33856773376464844},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3206326365470886},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.24034565687179565},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1890524923801422},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.1867797076702118},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icc40277.2020.9148617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9148617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1911.03127","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.03127","pdf_url":"https://arxiv.org/pdf/1911.03127","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"mag:2989153048","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1911.03127.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1911.03127","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1911.03127","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.03127","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.03127","pdf_url":"https://arxiv.org/pdf/1911.03127","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6800000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2989153048.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1854483763","https://openalex.org/W1965163110","https://openalex.org/W1967753381","https://openalex.org/W1996747769","https://openalex.org/W2003721809","https://openalex.org/W2012783660","https://openalex.org/W2061185532","https://openalex.org/W2064654820","https://openalex.org/W2070183748","https://openalex.org/W2084219623","https://openalex.org/W2114027796","https://openalex.org/W2161976002","https://openalex.org/W2162800060","https://openalex.org/W2548257201","https://openalex.org/W2548904446","https://openalex.org/W2792538345","https://openalex.org/W2798651459","https://openalex.org/W2889456352","https://openalex.org/W2954720824","https://openalex.org/W2965545261","https://openalex.org/W6607307566","https://openalex.org/W6798131896"],"related_works":["https://openalex.org/W3128397893","https://openalex.org/W3045727878","https://openalex.org/W3173206420","https://openalex.org/W3167006231","https://openalex.org/W2784056152","https://openalex.org/W2553915786","https://openalex.org/W2094509232","https://openalex.org/W2927635891","https://openalex.org/W2028669788","https://openalex.org/W3021673939","https://openalex.org/W3032301389","https://openalex.org/W2475755314","https://openalex.org/W3013964275","https://openalex.org/W3201490693","https://openalex.org/W2407430331","https://openalex.org/W3116631875","https://openalex.org/W3047954424","https://openalex.org/W2495920728","https://openalex.org/W3099916295","https://openalex.org/W305090941"],"abstract_inverted_index":{"As":[0],"we":[1,66,128],"are":[2,30,48,144,191],"about":[3],"to":[4,21,58,181,193],"embark":[5],"upon":[6],"the":[7,14,38,59,82,95,100,170,186,195,198],"highly":[8],"hyped":[9],"\u201cSociety":[10],"5.0\u201d,":[11],"powered":[12],"by":[13,86,99],"Internet":[15],"of":[16,40,117,139,152,197],"Things":[17],"(IoT),":[18],"traditional":[19],"ways":[20],"monitor":[22],"human":[23],"heart":[24],"signals":[25,143],"for":[26,107],"tracking":[27],"cardio-vascular":[28,87],"conditions":[29],"challenging,":[31],"particularly":[32],"in":[33],"remote":[34],"healthcare":[35],"settings.":[36],"On":[37],"merits":[39],"low":[41],"power":[42],"consumption,":[43],"portability,":[44],"and":[45,162,184],"non-intrusiveness,":[46],"there":[47],"no":[49],"suitable":[50],"IoT":[51,69],"solutions":[52],"that":[53,80,201],"can":[54],"provide":[55],"information":[56],"comparable":[57],"conventional":[60],"Electrocardiography":[61],"(ECG).":[62],"In":[63],"this":[64],"paper,":[65],"propose":[67],"an":[68,136],"device":[70],"utilizing":[71],"a":[72,105,153,163,175],"spintronic-technology-based":[73],"ultra-sensitive":[74],"Magnetic":[75],"Tunnel":[76],"Junction":[77],"(MTJ)":[78],"sensor":[79],"measures":[81],"magnetic":[83],"fields":[84],"produced":[85],"electromagnetic":[88],"activity,":[89],"i.e.":[90],"Magentocardiography":[91],"(MCG).":[92],"We":[93],"treat":[94],"low-frequency":[96,113],"noise":[97,187],"generated":[98],"sensor,":[101],"which":[102,178],"is":[103,167,179],"also":[104],"challenge":[106],"most":[108],"other":[109],"sensors":[110],"dealing":[111],"with":[112],"bio-magnetic":[114,133],"signals.":[115,134],"Instead":[116],"relying":[118],"on":[119,132],"generic":[120],"signal":[121],"processing":[122],"techniques":[123],"such":[124],"as":[125],"moving":[126,173],"average,":[127],"employ":[129],"deep-learning":[130],"training":[131],"Using":[135],"existing":[137],"dataset":[138],"ECG":[140],"records,":[141],"MCG":[142],"synthesized.":[145],"A":[146],"unique":[147],"deep":[148],"learning":[149],"model,":[150],"composed":[151],"one-dimensional":[154],"convolution":[155],"layer,":[156,161,166],"Gated":[157],"Recurrent":[158],"Unit":[159],"(GRU)":[160],"fully-connected":[164],"neural":[165],"trained":[168],"using":[169],"labeled":[171],"data":[172],"through":[174],"striding":[176],"window,":[177],"able":[180],"smartly":[182],"capture":[183],"eliminate":[185],"features.":[188],"Simulation":[189],"results":[190],"reported":[192],"evaluate":[194],"effectiveness":[196],"proposed":[199],"method":[200],"demonstrates":[202],"encouraging":[203],"performance.":[204]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}