{"id":"https://openalex.org/W7106674246","doi":"https://doi.org/10.48550/arxiv.2511.18827","title":"Leveraging Metaheuristic Approaches to Improve Deep Learning Systems for Anxiety Disorder Detection","display_name":"Leveraging Metaheuristic Approaches to Improve Deep Learning Systems for Anxiety Disorder Detection","publication_year":2025,"publication_date":"2025-11-24","ids":{"openalex":"https://openalex.org/W7106674246","doi":"https://doi.org/10.48550/arxiv.2511.18827"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2511.18827","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.18827","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2511.18827","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Amiri, Mohammadreza","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Amiri, Mohammadreza","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Hosseini, Monireh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hosseini, Monireh","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"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":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.4867999851703644,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.4867999851703644,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.22609999775886536,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.10130000114440918,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7111999988555908},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5875999927520752},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5302000045776367},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5199999809265137},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4781000018119812},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45809999108314514},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.4334000051021576},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.37790000438690186}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7904999852180481},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7111999988555908},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.664900004863739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6025999784469604},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5875999927520752},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5302000045776367},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5199999809265137},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4781000018119812},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45809999108314514},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.4334000051021576},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.37790000438690186},{"id":"https://openalex.org/C558461103","wikidata":"https://www.wikidata.org/wiki/Q154430","display_name":"Anxiety","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.26109999418258667},{"id":"https://openalex.org/C105409693","wikidata":"https://www.wikidata.org/wiki/Q5937824","display_name":"Human intelligence","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.25839999318122864}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2511.18827","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.18827","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":"doi:10.48550/arxiv.2511.18827","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.18827","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7642410397529602,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Despite":[0],"being":[1],"among":[2],"the":[3,36,39,62,90,112,138,171,174],"most":[4],"common":[5],"psychological":[6],"disorders,":[7],"anxiety-related":[8],"conditions":[9],"are":[10,108,122],"still":[11],"primarily":[12],"identified":[13],"through":[14],"subjective":[15],"assessments,":[16],"such":[17],"as":[18],"clinical":[19],"interviews":[20],"and":[21,31,57,87,95,104,115,127,163,187],"self-evaluation":[22],"questionnaires.":[23],"These":[24],"conventional":[25],"methods":[26],"often":[27],"require":[28],"significant":[29],"time":[30],"may":[32],"vary":[33],"depending":[34],"on":[35],"evaluator.":[37],"However,":[38],"emergence":[40],"of":[41,64,140,176],"advanced":[42],"artificial":[43],"intelligence":[44,99],"techniques":[45,100],"has":[46],"created":[47],"new":[48],"opportunities":[49],"for":[50,191],"detecting":[51],"anxiety":[52,193],"in":[53,161],"a":[54,70],"more":[55],"consistent":[56],"automated":[58],"manner.":[59],"To":[60],"address":[61],"limitations":[63],"traditional":[65],"approaches,":[66],"this":[67],"study":[68],"introduces":[69],"comprehensive":[71],"model":[72,157],"that":[73,137],"integrates":[74],"deep":[75,119,152,181],"learning":[76,120,182],"architectures":[77],"with":[78,124,150,180],"optimization":[79,107,179],"strategies":[80],"inspired":[81],"by":[82],"swarm":[83,106],"intelligence.":[84],"Using":[85],"multimodal":[86],"wearable-sensor":[88],"datasets,":[89],"framework":[91],"analyzes":[92],"physiological,":[93],"emotional,":[94],"behavioral":[96],"signals.":[97],"Swarm":[98],"including":[101],"genetic":[102],"algorithms":[103],"particle":[105],"incorporated":[109],"to":[110,183],"refine":[111],"feature":[113],"space":[114],"optimize":[116],"hyperparameters.":[117],"Meanwhile,":[118],"components":[121],"tasked":[123],"deriving":[125],"layered":[126],"discriminative":[128],"representations":[129],"from":[130],"sequential,":[131],"multi-source":[132],"inputs.":[133],"Our":[134],"evaluation":[135],"shows":[136],"fusion":[139],"these":[141],"two":[142],"computational":[143],"paradigms":[144],"significantly":[145],"enhances":[146],"detection":[147],"performance":[148],"compared":[149],"using":[151],"networks":[153],"alone.":[154],"The":[155],"hybrid":[156],"achieves":[158],"notable":[159],"improvements":[160],"accuracy":[162],"demonstrates":[164],"stronger":[165],"generalization":[166],"across":[167],"various":[168],"individuals.":[169],"Overall,":[170],"results":[172],"highlight":[173],"potential":[175],"combining":[177],"metaheuristic":[178],"develop":[184],"scalable,":[185],"objective,":[186],"clinically":[188],"meaningful":[189],"solutions":[190],"assessing":[192],"disorders":[194]},"counts_by_year":[],"updated_date":"2025-11-27T01:16:37.896743","created_date":"2025-11-27T00:00:00"}