{"id":"https://openalex.org/W4388951128","doi":"https://doi.org/10.1109/icccnt56998.2023.10308289","title":"Adaptive Arithmetic Coding using Neural Network","display_name":"Adaptive Arithmetic Coding using Neural Network","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388951128","doi":"https://doi.org/10.1109/icccnt56998.2023.10308289"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10308289","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10308289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5080475541","display_name":"Utkarsh Kuchhal","orcid":null},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Utkarsh Kuchhal","raw_affiliation_strings":["Delhi Technological University,New Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delhi Technological University,New Delhi,India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093327629","display_name":"Ved Vyapak","orcid":null},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ved Vyapak","raw_affiliation_strings":["Delhi Technological University,New Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delhi Technological University,New Delhi,India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025671561","display_name":"Jeebananda Panda","orcid":"https://orcid.org/0000-0002-5325-320X"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jeebananda Panda","raw_affiliation_strings":["Delhi Technological University,New Delhi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delhi Technological University,New Delhi,India","institution_ids":["https://openalex.org/I863896202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I863896202"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15293699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9983999729156494,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9983999729156494,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9896000027656555,"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/lossless-compression","display_name":"Lossless compression","score":0.8275613188743591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7987313270568848},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7390328645706177},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6506190299987793},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5988082885742188},{"id":"https://openalex.org/keywords/adaptive-coding","display_name":"Adaptive coding","score":0.5122820734977722},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.4923316240310669},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47932112216949463},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.45333677530288696},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.419016569852829},{"id":"https://openalex.org/keywords/arithmetic-coding","display_name":"Arithmetic coding","score":0.4149791896343231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39836370944976807},{"id":"https://openalex.org/keywords/context-adaptive-binary-arithmetic-coding","display_name":"Context-adaptive binary arithmetic coding","score":0.12462899088859558}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.8275613188743591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7987313270568848},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7390328645706177},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6506190299987793},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5988082885742188},{"id":"https://openalex.org/C57890076","wikidata":"https://www.wikidata.org/wiki/Q4680725","display_name":"Adaptive coding","level":4,"score":0.5122820734977722},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.4923316240310669},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47932112216949463},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.45333677530288696},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.419016569852829},{"id":"https://openalex.org/C153338461","wikidata":"https://www.wikidata.org/wiki/Q2651","display_name":"Arithmetic coding","level":4,"score":0.4149791896343231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39836370944976807},{"id":"https://openalex.org/C175732694","wikidata":"https://www.wikidata.org/wiki/Q1128713","display_name":"Context-adaptive binary arithmetic coding","level":3,"score":0.12462899088859558},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10308289","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10308289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1595681834","https://openalex.org/W2027528771","https://openalex.org/W2116341502","https://openalex.org/W2121758654","https://openalex.org/W2131774270","https://openalex.org/W2151687858","https://openalex.org/W2780874437","https://openalex.org/W2789876780","https://openalex.org/W2896457183","https://openalex.org/W2911940095","https://openalex.org/W2946790645","https://openalex.org/W2978725006","https://openalex.org/W3035703949","https://openalex.org/W4298857953","https://openalex.org/W6607873503","https://openalex.org/W6631190155","https://openalex.org/W6721969967","https://openalex.org/W6755207826","https://openalex.org/W6762816573"],"related_works":["https://openalex.org/W2385628723","https://openalex.org/W2547124190","https://openalex.org/W3180760233","https://openalex.org/W3035703949","https://openalex.org/W4247601675","https://openalex.org/W1970394887","https://openalex.org/W755971114","https://openalex.org/W2556577032","https://openalex.org/W1545443801","https://openalex.org/W2096000848"],"abstract_inverted_index":{"In":[0],"today\u2019s":[1],"data-driven":[2],"world,":[3],"industries":[4,41],"across":[5],"various":[6],"sectors":[7],"are":[8,42,112],"grappling":[9],"with":[10,58,141],"the":[11,55,181,202],"enormous":[12],"influx":[13],"of":[14,21,28,119,156,168,183,204],"data":[15,22,31,62,72,105,163,206],"being":[16],"generated.":[17],"The":[18,186],"sheer":[19],"volume":[20],"poses":[23],"significant":[24],"challenges":[25,89],"in":[26,129,201],"terms":[27],"infrastructure":[29],"costs,":[30],"transfer":[32,64],"speeds,":[33],"and":[34,66,82,99,123,161,173,176,188,199],"storage":[35,48,60],"requirements.":[36],"As":[37],"a":[38,153,166],"result,":[39],"many":[40],"reevaluating":[43],"their":[44],"approach":[45],"to":[46,53,86,148],"cloud-based":[47],"solutions.":[49],"One":[50],"crucial":[51],"solution":[52],"mitigate":[54],"issues":[56],"associated":[57],"excessive":[59],"usage,":[61],"integrity,":[63],"efficiency,":[65],"improved":[67],"streaming":[68],"speeds":[69],"is":[70],"lossless":[71,150,205],"compression.":[73,207],"Numerous":[74],"compressors":[75],"currently":[76],"available":[77],"employ":[78],"prediction-based":[79],"compression":[80,151],"techniques":[81],"utilize":[83],"learned":[84],"models":[85],"address":[87],"these":[88,191],"effectively.To":[90],"tackle":[91],"this":[92,134],"problem,":[93],"our":[94,184],"research":[95,198],"focuses":[96],"on":[97],"exploring":[98],"developing":[100],"strategies":[101],"for":[102,152,196],"compressing":[103],"sequential":[104],"using":[106,170],"neural":[107,143],"network":[108,144],"predictors.":[109],"Neural":[110],"networks":[111],"well-known":[113],"as":[114],"universal":[115],"function":[116],"approximators":[117],"capable":[118],"learning":[120],"complex":[121],"mappings,":[122],"they":[124],"have":[125],"demonstrated":[126],"impressive":[127],"performance":[128],"prediction":[130],"tasks.":[131],"We":[132],"leverage":[133],"capability":[135],"by":[136],"combining":[137],"an":[138],"arithmetic":[139],"coder":[140],"recurrent":[142],"predictions,":[145],"enabling":[146],"us":[147],"achieve":[149],"wide":[154],"range":[155],"datasets":[157],"including":[158],"synthetic,":[159],"text,":[160],"genomic":[162,177],"[1].":[164],"Through":[165],"series":[167],"experiments":[169,192],"both":[171],"simulated":[172],"actual":[174],"text":[175],"datasets,":[178],"we":[179],"evaluate":[180],"effectiveness":[182],"approach.":[185],"results":[187],"observations":[189],"from":[190],"provide":[193],"valuable":[194],"insights":[195],"future":[197],"advancements":[200],"field":[203]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}