{"id":"https://openalex.org/W4366973829","doi":"https://doi.org/10.5281/zenodo.7861336","title":"LSTM Models: A Comprehensive Analysis and Applications","display_name":"LSTM Models: A Comprehensive Analysis and Applications","publication_year":2023,"publication_date":"2023-04-25","ids":{"openalex":"https://openalex.org/W4366973829","doi":"https://doi.org/10.5281/zenodo.7861336"},"language":"en","primary_location":{"id":"pmh:oai:zenodo.org:7861337","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/7861337","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advancement in Image Processing and Pattern Recognition 6(1) 44-53","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/7861337","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009840962","display_name":"Snahashis Kanrar","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Snahashis Kanrar","raw_affiliation_strings":["Department of Computer Science and Engineering Dream Institute of Technology Maulana Abul Kalam Azad University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Dream Institute of Technology Maulana Abul Kalam Azad University","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nimai Chand Giri","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nimai Chand Giri","raw_affiliation_strings":["Department of Computer Science and Engineering Dream Institute of Technology Maulana Abul Kalam Azad University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Dream Institute of Technology Maulana Abul Kalam Azad University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026938025","display_name":"Debjyoti Adak","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Debjyoti Adak","raw_affiliation_strings":["Department of Computer Science and Engineering Dream Institute of Technology Maulana Abul Kalam Azad University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Dream Institute of Technology Maulana Abul Kalam Azad University","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Paul, Suman","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paul, Suman","raw_affiliation_strings":["Department of Computer Science and Engineering Dream Institute of Technology Maulana Abul Kalam Azad University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Dream Institute of Technology Maulana Abul Kalam Azad University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104090720","display_name":"Saikat Kumar B. Ghosh","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saikat Ghosh","raw_affiliation_strings":["Department of Computer Science and Engineering Dream Institute of Technology Maulana Abul Kalam Azad University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Dream Institute of Technology Maulana Abul Kalam Azad University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024068672","display_name":"Shreya Das","orcid":"https://orcid.org/0000-0002-7580-0585","observed_orcids":["https://orcid.org/0000-0002-7580-0585"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Das, Shreya","raw_affiliation_strings":["Department of Computer Science and Engineering Dream Institute of Technology Maulana Abul Kalam Azad University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Dream Institute of Technology Maulana Abul Kalam Azad University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2136,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46403611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"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/T10028","display_name":"Topic Modeling","score":0.38749998807907104,"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/T10028","display_name":"Topic Modeling","score":0.38749998807907104,"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/T10320","display_name":"Neural Networks and Applications","score":0.1615000069141388,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.15700000524520874,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"long short-term memory","score":0.9240000247955322},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.8629999756813049},{"id":"https://openalex.org/keywords/vanishing-gradient","display_name":"gradient vanishing","score":0.8889999985694885},{"id":"https://openalex.org/keywords/memory-cells","display_name":"memory cells","score":0.6159999966621399},{"id":"https://openalex.org/keywords/gates","display_name":"gates","score":0.6230000257492065},{"id":"https://openalex.org/keywords/long-term-dependencies","display_name":"long-range dependencies","score":0.984000027179718},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"speech recognition","score":0.8460000157356262},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"natural language processing","score":0.9409999847412109},{"id":"https://openalex.org/keywords/image-captioning","display_name":"image captioning","score":0.9850000143051147},{"id":"https://openalex.org/keywords/video-analysis","display_name":"video analysis","score":0.9449999928474426},{"id":"https://openalex.org/keywords/musical-composition","display_name":"music composition","score":0.9509999752044678},{"id":"https://openalex.org/keywords/convolutional-lstm","display_name":"convolutional LSTM","score":0.8740000128746033},{"id":"https://openalex.org/keywords/attention-based-lstm","display_name":"attention-based LSTM","score":0.9639999866485596},{"id":"https://openalex.org/keywords/hybrid-model","display_name":"hybrid model","score":0.8190000057220459},{"id":"https://openalex.org/keywords/sequential-data-modeling","display_name":"sequential data modeling","score":0.7379999756813049}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.503574550151825}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:zenodo.org:7861337","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/7861337","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advancement in Image Processing and Pattern Recognition 6(1) 44-53","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.5281/zenodo.7861336","doi":"https://doi.org/10.5281/zenodo.7861336","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.7861336","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.5281/zenodo.7861337","doi":"https://doi.org/10.5281/zenodo.7861337","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.7861337","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:7861337","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/7861337","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Advancement in Image Processing and Pattern Recognition 6(1) 44-53","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4414022612","https://openalex.org/W4406669429","https://openalex.org/W2974306171","https://openalex.org/W4372049348","https://openalex.org/W3024761859","https://openalex.org/W1499864241","https://openalex.org/W1689711448","https://openalex.org/W7095449876","https://openalex.org/W4393228008","https://openalex.org/W2944851425"],"abstract_inverted_index":{"Long":[0],"Short-Term":[1],"Memory":[2],"(LSTM)":[3],"is":[4,13,70,142,152],"a":[5,31,55,181,255,287,358,378],"type":[6],"of":[7,19,33,49,54,83,88,120,135,139,184,213,290,310,332,350,380,384,401],"Recurrent":[8],"Neural":[9],"Network":[10],"(RNN)":[11],"that":[12],"designed":[14],"to":[15,98,112,145,158,171,209,224,244,282,299,306,321,329,368,398],"handle":[16,146,307,322,369],"the":[17,78,81,89,101,105,118,121,136,156,165,172,211,251,304,319,330,337,342,348],"problem":[18],"vanishing":[20],"gradients":[21],"in":[22,30,149,180,377],"traditional":[23],"RNNs.":[24],"LSTM":[25,51,122,140,175,204,239,277,293,339,344,355],"models":[26,141,176,205,240,278,294,356,386],"are":[27,126,357],"widely":[28,375],"used":[29,179,208,223,243,265,281,376],"variety":[32,379],"applications":[34],"such":[35,313,335],"as":[36,314,336],"speech":[37,187,202],"recognition,":[38,188,203,268],"natural":[39,189,217,256],"language":[40,190,218,257],"processing,":[41,191,219],"and":[42,62,64,86,130,196,229,253,271,316,318,341,365,387,394],"image":[43,192,237,252],"captioning,":[44,193,238],"among":[45,199,233],"others.":[46,200],"The":[47,67,92,114,124,382],"architecture":[48],"an":[50,65],"model":[52,157],"consists":[53],"memory":[56,68,90,102],"cell,":[57,103],"three":[58],"gates":[59,79,125],"(input,":[60],"forget,":[61],"output),":[63],"output.":[66],"cell":[69],"responsible":[71],"for":[72,247,266,361],"maintaining":[73],"information":[74,84,97,111,163],"over":[75],"time,":[76],"while":[77,104],"regulate":[80],"flow":[82],"into":[85],"out":[87],"cell.":[91],"forget":[93,162],"gate":[94,107,116],"determines":[95],"which":[96,109,346],"discard":[99],"from":[100,164],"input":[106,311,402],"controls":[108,117],"new":[110],"add.":[113],"output":[115,119],"model.":[123],"implemented":[127],"using":[128],"sigmoid":[129],"element-wise":[131],"multiplication":[132],"functions.":[133],"One":[134],"key":[137],"advantages":[138],"their":[143,366,392,396],"ability":[144,305,320,367],"long-term":[147,370],"dependencies":[148,371],"data.":[150,403],"This":[151],"achieved":[153],"by":[154,249],"allowing":[155],"selectively":[159],"remember":[160],"or":[161],"past,":[166],"depending":[167],"on":[168,286],"its":[169],"relevance":[170],"current":[173],"task.":[174],"have":[177,206,221,241,263,279,295,327],"been":[178,207,222,242,264,280,297],"wide":[182],"range":[183],"applications,":[185],"including":[186,303],"video":[194,260,272],"analysis,":[195,232,261],"music":[197,275,284],"composition,":[198,276],"In":[201,216,236,259,274,353],"improve":[210],"accuracy":[212],"speech-to-text":[214],"systems.":[215],"they":[220,262],"generate":[225,245,283],"text,":[226,228,317],"classify":[227],"perform":[230],"sentiment":[231],"other":[234],"tasks.":[235],"captions":[246],"images,":[248],"processing":[250],"generating":[254],"description.":[258],"activity":[267],"action":[269],"detection,":[270],"summarization.":[273],"based":[285],"given":[288],"set":[289],"musical":[291],"parameters.":[292],"also":[296],"extended":[298],"address":[300],"various":[301],"limitations,":[302],"multiple":[308],"types":[309,400],"data,":[312,364],"images":[315],"variable-length":[323],"inputs.":[324],"These":[325],"extensions":[326,388],"led":[328],"development":[331,383],"hybrid":[333,385],"models,":[334],"Convolutional":[338],"(CLSTM)":[340],"Attention":[343],"(ALSTM),":[345],"combine":[347],"strengths":[349],"different":[351,399],"architectures.":[352],"conclusion,":[354],"powerful":[359],"tool":[360],"modeling":[362],"sequential":[363],"has":[372,389],"made":[373],"them":[374],"applications.":[381],"further":[390],"improved":[391],"performance":[393],"expanded":[395],"applicability":[397]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-04-27T00:00:00"}
