{"id":"https://openalex.org/W4308654629","doi":"https://doi.org/10.1109/iscit55906.2022.9931228","title":"Running Pace Adjustment and Training Distance Fitting with Fuzzy Logic and Machine Learning","display_name":"Running Pace Adjustment and Training Distance Fitting with Fuzzy Logic and Machine Learning","publication_year":2022,"publication_date":"2022-09-27","ids":{"openalex":"https://openalex.org/W4308654629","doi":"https://doi.org/10.1109/iscit55906.2022.9931228"},"language":"en","primary_location":{"id":"doi:10.1109/iscit55906.2022.9931228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit55906.2022.9931228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5025736587","display_name":"Adam Dziomdziora","orcid":"https://orcid.org/0000-0002-9667-8689"},"institutions":[{"id":"https://openalex.org/I188884621","display_name":"Lodz University of Technology","ror":"https://ror.org/00s8fpf52","country_code":"PL","type":"education","lineage":["https://openalex.org/I188884621"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Adam Dziomdziora","raw_affiliation_strings":["Lodz University of Technology Institute of Information Technology,Lodz,Poland,93-590"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lodz University of Technology Institute of Information Technology,Lodz,Poland,93-590","institution_ids":["https://openalex.org/I188884621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086929289","display_name":"Davide Taibi","orcid":"https://orcid.org/0000-0002-3210-3990"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Davide Taibi","raw_affiliation_strings":["Tampere University,Tampere,Finland,33-720"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tampere University,Tampere,Finland,33-720","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4838,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81122943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"189","last_page":"194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.8375999927520752,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.8375999927520752,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.8179000020027161,"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/T11209","display_name":"Cardiovascular and exercise physiology","score":0.771399974822998,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.8368147611618042},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6215819716453552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6201092600822449},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5861263871192932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5733170509338379},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4830394387245178},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.09988152980804443},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0840408205986023}],"concepts":[{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.8368147611618042},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6215819716453552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6201092600822449},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5861263871192932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5733170509338379},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4830394387245178},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.09988152980804443},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0840408205986023},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscit55906.2022.9931228","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscit55906.2022.9931228","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 21st International Symposium on Communications and Information Technologies (ISCIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2005562697","https://openalex.org/W2039321646","https://openalex.org/W2617129083","https://openalex.org/W2704274357","https://openalex.org/W2884916882","https://openalex.org/W2943610214","https://openalex.org/W2966199271","https://openalex.org/W2972504136","https://openalex.org/W3006003133","https://openalex.org/W3117030766","https://openalex.org/W3128964581"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"A":[0],"sedentary":[1],"lifestyle":[2,71],"and":[3,42,55,66,78,96,104,133,176],"lack":[4],"of":[5,10,40,46,80,121,145],"sports":[6,131],"favor":[7],"the":[8,16,18,37,47,76,119,127,130,137,146,149,155,169],"occurrence":[9],"many":[11],"civilization":[12],"diseases.":[13],"To":[14],"address":[15],"problem,":[17],"UN":[19,48],"set":[20],"17":[21],"Sustainable":[22],"Development":[23],"Goals":[24],"to":[25,85,92,158,164],"be":[26,174],"achieved":[27],"glob-ally":[28],"by":[29,74],"2030.":[30],"They":[31],"assume":[32],"an":[33,87,122],"enduring":[34],"improvement":[35],"in":[36],"life":[38,62],"quality":[39],"present":[41],"future":[43],"generations.":[44],"One":[45],"objects":[49],"is":[50],"\u201cGoal":[51],"3:":[52],"Good":[53],"health":[54,73],"well-being\u201d,":[56],"focusing":[57],"on":[58,109,126],"ensuring":[59],"a":[60,162],"healthy":[61],"for":[63,100],"all":[64],"people":[65],"promoting":[67],"well-being.":[68],"An":[69],"active":[70],"improves":[72],"reducing":[75],"number":[77],"frequency":[79],"illnesses.":[81],"This":[82],"paper":[83],"aims":[84],"develop":[86],"Artificial":[88],"Intelligence":[89],"(AI)":[90],"system":[91,124,150],"provide":[93],"training":[94,105,172,177],"recommendations":[95],"evaluate":[97],"decision-making":[98],"algorithms":[99],"running":[101,116],"pace":[102],"adjustment":[103],"distance":[106],"fitting":[107],"based":[108,125],"fuzzy":[110,159],"logic.":[111],"The":[112],"data":[113,128],"collected":[114],"from":[115,129,136,154],"sessions":[117],"enabled":[118],"construction":[120],"AI":[123],"watch":[132],"personal":[134],"feelings":[135],"athlete":[138],"regarding":[139],"his":[140],"emotions":[141],"during":[142],"each":[143],"kilometer":[144],"run.":[147],"Comparing":[148],"indications":[151],"with":[152],"information":[153],"user":[156],"due":[157],"inference":[160],"allowed":[161],"runner":[163],"increase":[165],"endurance.":[166],"Hence,":[167],"using":[168],"provided":[170],"recommendations,":[171],"can":[173],"intensified":[175],"sensations":[178],"-":[179],"maintained.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}