{"id":"https://openalex.org/W4405232382","doi":"https://doi.org/10.1109/tetci.2024.3510292","title":"Adaptive Non-Homogeneous Granulation-Aided Density-Based Deep Feature Clustering for Far Infrared Sign Language Images","display_name":"Adaptive Non-Homogeneous Granulation-Aided Density-Based Deep Feature Clustering for Far Infrared Sign Language Images","publication_year":2024,"publication_date":"2024-12-10","ids":{"openalex":"https://openalex.org/W4405232382","doi":"https://doi.org/10.1109/tetci.2024.3510292"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3510292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3510292","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-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/A5063089455","display_name":"Pritam Paral","orcid":"https://orcid.org/0000-0001-7934-0670"},"institutions":[{"id":"https://openalex.org/I98365261","display_name":"Indian Institute of Engineering Science and Technology, Shibpur","ror":"https://ror.org/02ytfzr55","country_code":"IN","type":"education","lineage":["https://openalex.org/I98365261"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pritam Paral","raw_affiliation_strings":["Department of Electrical Engineering, IIEST, Shibpur, Howrah, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, IIEST, Shibpur, Howrah, India","institution_ids":["https://openalex.org/I98365261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037496384","display_name":"Saibal Ghosh","orcid":"https://orcid.org/0000-0003-1508-2160"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saibal Ghosh","raw_affiliation_strings":["Department of Electrical Engineering, Jadavpur University, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037803714","display_name":"Sankar K. Pal","orcid":"https://orcid.org/0000-0003-3301-4751"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sankar K. Pal","raw_affiliation_strings":["Center for Soft Computing Research, ISI, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Center for Soft Computing Research, ISI, Kolkata, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063622872","display_name":"Amitava Chatterjee","orcid":"https://orcid.org/0000-0002-2577-8930"},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amitava Chatterjee","raw_affiliation_strings":["Department of Electrical Engineering, Jadavpur University, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063089455"],"corresponding_institution_ids":["https://openalex.org/I98365261"],"apc_list":null,"apc_paid":null,"fwci":1.8791,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86478066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"9","issue":"2","first_page":"1269","last_page":"1280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9825000166893005,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6781458854675293},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.664905846118927},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6345236301422119},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5954201817512512},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.593738317489624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5878007411956787},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.552456259727478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48686283826828003},{"id":"https://openalex.org/keywords/granulation","display_name":"Granulation","score":0.42704176902770996},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39454832673072815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28868168592453003},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.19031119346618652},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14183557033538818},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07425317168235779}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6781458854675293},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.664905846118927},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6345236301422119},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5954201817512512},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.593738317489624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5878007411956787},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.552456259727478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48686283826828003},{"id":"https://openalex.org/C88463166","wikidata":"https://www.wikidata.org/wiki/Q1543243","display_name":"Granulation","level":2,"score":0.42704176902770996},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39454832673072815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28868168592453003},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.19031119346618652},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14183557033538818},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07425317168235779},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3510292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3510292","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1977496278","https://openalex.org/W2022262325","https://openalex.org/W2025768430","https://openalex.org/W2051554863","https://openalex.org/W2081277700","https://openalex.org/W2115667691","https://openalex.org/W2127964009","https://openalex.org/W2159778584","https://openalex.org/W2160642098","https://openalex.org/W2165835468","https://openalex.org/W2172133054","https://openalex.org/W2220188468","https://openalex.org/W2516046201","https://openalex.org/W2557169239","https://openalex.org/W2589671266","https://openalex.org/W2591287505","https://openalex.org/W2799118171","https://openalex.org/W2807800797","https://openalex.org/W2911616587","https://openalex.org/W2912988462","https://openalex.org/W2967849621","https://openalex.org/W2994560339","https://openalex.org/W3015507004","https://openalex.org/W3083870581","https://openalex.org/W4229074474","https://openalex.org/W4254311734","https://openalex.org/W4312943501","https://openalex.org/W4319992748","https://openalex.org/W4362562906","https://openalex.org/W4382119826","https://openalex.org/W4382517412","https://openalex.org/W6637052001","https://openalex.org/W6685380521","https://openalex.org/W6728550200","https://openalex.org/W6732395776","https://openalex.org/W6748816842","https://openalex.org/W6758990916"],"related_works":["https://openalex.org/W2123804754","https://openalex.org/W1485197043","https://openalex.org/W2895629587","https://openalex.org/W2025546910","https://openalex.org/W1995249265","https://openalex.org/W2467996332","https://openalex.org/W2124706364","https://openalex.org/W2352261257","https://openalex.org/W2265024289","https://openalex.org/W1989687946"],"abstract_inverted_index":{"In":[0,24,98],"image":[1,118,172],"clustering":[2,6,22,37,52,194],"applications,":[3],"deep":[4,14,43,62,161,192],"feature":[5,18,44,60,63,162,193],"has":[7],"recently":[8],"demonstrated":[9],"impressive":[10],"performance,":[11],"which":[12],"employs":[13],"neural":[15],"networks":[16],"for":[17,35],"learning":[19,64,163],"that":[20,134],"favors":[21],"exercises.":[23],"this":[25,99],"context,":[26],"density-based":[27,191],"methods":[28],"have":[29],"emerged":[30],"as":[31,47],"the":[32,36,40,48,58,82,103,113,138,171,176,181,190,197,200],"preferred":[33],"choice":[34],"mechanism":[38],"within":[39,144],"framework":[41],"of":[42,50,105,142,147,180,189,199],"clustering.":[45],"However,":[46],"performance":[49,187],"these":[51],"algorithms":[53],"is":[54],"primarily":[55],"effective":[56],"on":[57,151],"low-dimensional":[59],"data,":[61],"models":[65],"play":[66],"a":[67,126,145,152],"crucial":[68],"role":[69],"here.":[70],"With":[71],"far":[72],"infrared":[73],"(FIR)":[74],"thermal":[75,93],"imaging":[76],"systems":[77],"working":[78],"in":[79,109,158,165],"real-world":[80],"scenarios,":[81,111],"images":[83],"captured":[84],"are":[85],"largely":[86],"affected":[87],"by":[88],"blurred":[89],"edges,":[90],"background":[91],"noise,":[92],"irregularities,":[94],"few":[95],"details,":[96],"etc.":[97],"work,":[100],"we":[101],"demonstrate":[102],"effectiveness":[104],"granular":[106],"computing-based":[107],"techniques":[108],"such":[110],"where":[112],"input":[114],"data":[115,173],"contains":[116],"indiscernible":[117,168],"regions":[119],"and":[120,174],"vague":[121],"boundary":[122],"regions.":[123],"We":[124],"propose":[125],"novel":[127],"adaptive":[128],"non-homogeneous":[129],"granulation":[130,202],"(ANHG)":[131],"technique":[132],"here":[133],"can":[135],"adaptively":[136],"select":[137],"smallest":[139],"possible":[140],"size":[141],"granules":[143],"purview":[146],"unequally-sized":[148],"granulation,":[149],"based":[150],"segmentation":[153],"assessment":[154],"index.":[155],"Proposed":[156],"ANHG":[157],"combination":[159],"with":[160],"helps":[164],"extracting":[166],"complex,":[167],"information":[169],"from":[170],"capturing":[175],"local":[177],"intensity":[178],"variation":[179],"data.":[182],"Experimental":[183],"results":[184],"show":[185],"significant":[186],"improvement":[188],"method":[195],"after":[196],"incorporation":[198],"proposed":[201],"scheme.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}