{"id":"https://openalex.org/W4411600153","doi":"https://doi.org/10.1109/cec65147.2025.11043014","title":"LW-MSTCNN: An Optimization Study on Integrating Multiscale Attention Mechanism with Deep Separable Convolutional Networks","display_name":"LW-MSTCNN: An Optimization Study on Integrating Multiscale Attention Mechanism with Deep Separable Convolutional Networks","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4411600153","doi":"https://doi.org/10.1109/cec65147.2025.11043014"},"language":"en","primary_location":{"id":"doi:10.1109/cec65147.2025.11043014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11043014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-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/A5023531675","display_name":"Yunjie Li","orcid":"https://orcid.org/0000-0003-3721-0178"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjie Li","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,School of Communication and Information Engineering,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,School of Communication and Information Engineering,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354999","display_name":"Pengfei Liu","orcid":"https://orcid.org/0000-0002-1603-3670"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Liu","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,School of Communication and Information Engineering,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,School of Communication and Information Engineering,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366758","display_name":"Haitao Zhao","orcid":"https://orcid.org/0000-0002-4728-0180"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao Zhao","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,School of Internet of Things,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,School of Internet of Things,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035840666","display_name":"Haifeng Tang","orcid":"https://orcid.org/0000-0002-5073-0680"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Tang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,School of Internet of Things,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,School of Internet of Things,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108974620","display_name":"Minxian Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minxian Shen","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,School of Internet of Things,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,School of Internet of Things,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012410481","display_name":"Lingyao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyao Wang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,School of Internet of Things,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,School of Internet of Things,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06413183,"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":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8748999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8748999834060669,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8116000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7035884857177734},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6999704837799072},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.5943571925163269},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5127009153366089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4548150300979614},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08356371521949768},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07541128993034363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7035884857177734},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6999704837799072},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.5943571925163269},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5127009153366089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4548150300979614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08356371521949768},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07541128993034363},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec65147.2025.11043014","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11043014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1586335931","https://openalex.org/W2518042154","https://openalex.org/W2890096158","https://openalex.org/W3035805403","https://openalex.org/W4366377753","https://openalex.org/W4372347372","https://openalex.org/W4381245607","https://openalex.org/W6729542563","https://openalex.org/W6780221082"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2009525028","https://openalex.org/W2390279801","https://openalex.org/W4321064619","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Multivariate":[0],"time":[1,167],"series":[2,168],"(MTS)":[3,169],"forecasting":[4],"is":[5,70],"crucial":[6],"in":[7,109,165],"the":[8,93,120,125,131,151,158,163],"finance,":[9],"energy":[10],"and":[11,23,61,80,86,160],"transportation":[12],"sectors.":[13],"Although":[14],"current":[15],"models":[16],"deliver":[17],"high":[18],"prediction":[19,143],"accuracy,":[20],"their":[21],"complexity":[22,60],"extensive":[24,146],"computational":[25,62,128],"demands":[26],"hinder":[27],"practical":[28],"deployment.":[29],"To":[30],"address":[31],"these":[32],"limitations,":[33],"this":[34],"paper":[35],"introduces":[36],"a":[37,65],"lightweight":[38],"multiscale":[39,54,66,104],"spatio-temporal":[40,110],"convolutional":[41],"network":[42],"(LW-MSTCNN)":[43],"that":[44,119,150],"leverages":[45],"deep":[46],"separable":[47],"convolution":[48],"(DSCNN)":[49],"to":[50,57,72,96,137],"build":[51],"an":[52],"efficient":[53],"pyramid":[55],"model":[56,59,122,152,164],"decrease":[58],"costs.":[63],"Additionally,":[64,145],"attention":[67],"(MA)":[68],"mechanism":[69],"incorporated":[71],"selectively":[73],"emphasize":[74],"important":[75],"features":[76],"across":[77],"different":[78],"spatial":[79],"temporal":[81],"scales,":[82],"improving":[83],"feature":[84],"extraction":[85],"overall":[87],"performance.":[88],"This":[89,156],"combined":[90],"approach":[91],"enhances":[92],"model\u2019s":[94],"ability":[95],"process":[97],"high-dimensional":[98],"data":[99,111],"efficiently":[100],"while":[101,140],"capturing":[102],"critical":[103],"patterns,":[105],"addressing":[106],"key":[107],"challenges":[108],"processing.":[112],"Experimental":[113],"results":[114],"on":[115],"four":[116],"datasets":[117],"demonstrate":[118],"proposed":[121],"significantly":[123],"reduces":[124],"usage":[126],"of":[127,162],"resources,":[129],"with":[130],"parameter":[132],"count":[133],"reduced":[134],"by":[135],"4":[136],"5":[138],"times,":[139],"maintaining":[141],"comparable":[142],"accuracy.":[144],"generalization":[147],"experiments":[148],"show":[149],"exhibits":[153],"strong":[154],"robustness.":[155],"highlights":[157],"effectiveness":[159],"practicality":[161],"multivariate":[166],"forecasting.":[170]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}