{"id":"https://openalex.org/W7225811148","doi":"https://doi.org/10.21203/rs.3.rs-11683539/v1","title":"Cross-Modality Compression Efficiency and Reconstruction Fidelity in Mobile Cloud Computing: A Unified Runtime Analysis of the EADC Framework","display_name":"Cross-Modality Compression Efficiency and Reconstruction Fidelity in Mobile Cloud Computing: A Unified Runtime Analysis of the EADC Framework","publication_year":2026,"publication_date":"2026-11-11","ids":{"openalex":"https://openalex.org/W7225811148","doi":"https://doi.org/10.21203/rs.3.rs-11683539/v1"},"language":"en","primary_location":{"id":"doi:10.21203/rs.3.rs-11683539/v1","doi":"https://doi.org/10.21203/rs.3.rs-11683539/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-11683539/v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Research Square","raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21203/rs.3.rs-11683539/v1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082183732","display_name":"Victoria Boafo","orcid":"https://orcid.org/0000-0002-7783-1086","observed_orcids":["https://orcid.org/0000-0002-7783-1086"]},"institutions":[{"id":"https://openalex.org/I4400573223","display_name":"Mampong Technical College of Education","ror":"https://ror.org/050cf7q30","country_code":"GH","type":"education","lineage":["https://openalex.org/I4400573223"]}],"countries":["GH"],"is_corresponding":true,"raw_author_name":"Victoria Boafo","raw_affiliation_strings":["Mampong Technical College of Education"],"raw_orcid":"https://orcid.org/0000-0002-7783-1086","affiliations":[{"raw_affiliation_string":"Mampong Technical College of Education","institution_ids":["https://openalex.org/I4400573223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5082183732"],"corresponding_institution_ids":["https://openalex.org/I4400573223"],"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.7939000129699707,"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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.7939000129699707,"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/T11269","display_name":"Algorithms and Data Compression","score":0.15860000252723694,"subfield":{"id":"https://openalex.org/subfields/2614","display_name":"Theoretical Computer Science"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.00839999970048666,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069000244140625},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6430000066757202},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.508400022983551},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4415999948978424},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4242999851703644},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4153999984264374},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.39980000257492065},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.3953000009059906},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.390500009059906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3822999894618988},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.3725000023841858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36390000581741333},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.3580999970436096},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.35690000653266907},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.35510000586509705},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.31709998846054077},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31209999322891235},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3075000047683716},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3068999946117401},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.29339998960494995},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.28859999775886536},{"id":"https://openalex.org/C202973057","wikidata":"https://www.wikidata.org/wiki/Q7380130","display_name":"Runtime verification","level":3,"score":0.2856000065803528},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C2780870223","wikidata":"https://www.wikidata.org/wiki/Q1004415","display_name":"Runtime system","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21203/rs.3.rs-11683539/v1","doi":"https://doi.org/10.21203/rs.3.rs-11683539/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-11683539/v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Research Square","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.21203/rs.3.rs-11683539/v1","doi":"https://doi.org/10.21203/rs.3.rs-11683539/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-11683539/v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Research Square","raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2027982384","https://openalex.org/W2062468501","https://openalex.org/W2099563019","https://openalex.org/W2107745473","https://openalex.org/W2134237567","https://openalex.org/W2153638435","https://openalex.org/W2160886020","https://openalex.org/W2161628678","https://openalex.org/W2785562966","https://openalex.org/W2803749063","https://openalex.org/W2921659643","https://openalex.org/W3034469748","https://openalex.org/W3164132776","https://openalex.org/W3195966034","https://openalex.org/W3198389174","https://openalex.org/W4226076355","https://openalex.org/W4379798392","https://openalex.org/W4399407996","https://openalex.org/W4400605930","https://openalex.org/W4407852542","https://openalex.org/W4414384589","https://openalex.org/W4415002608"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Mobile":[1],"cloud":[2,144],"computing":[3],"backends":[4],"must":[5],"compress":[6],"heterogeneous":[7],"data":[8,21],"under":[9],"strict":[10],"latency":[11],"and":[12,23,36,49,61,67,84,100,107,124,136],"bandwidth":[13],"constraints,":[14],"yet":[15],"compression":[16],"studies":[17],"usually":[18],"evaluate":[19],"one":[20],"type":[22],"report":[24],"runtime":[25,35,54,103,118],"only":[26],"as":[27],"an":[28],"aggregate.":[29],"This":[30],"paper":[31],"presents":[32],"a":[33],"unified":[34],"reconstruction-fidelity":[37],"evaluation":[38],"of":[39,133],"the":[40,77,89],"Enhanced":[41],"Adaptive":[42],"Discriminant":[43],"Compression":[44],"framework":[45],"across":[46],"its":[47],"image":[48,74,123],"text":[50,86,128],"pathways.":[51],"An":[52],"additive":[53],"model":[55],"attributes":[56],"processing":[57],"time":[58],"to":[59,131],"kernel":[60],"discriminant":[62],"computation,":[63],"dictionary-based":[64],"redundancy":[65],"elimination,":[66],"adaptive":[68],"parameter":[69],"updates.":[70],"Experiments":[71],"on":[72,143],"eight":[73,85],"categories":[75],"from":[76,88],"Stanford":[78],"Light":[79],"Field":[80],"Raw":[81],"Image":[82],"Dataset":[83],"collections":[87],"Pizza":[90],"&":[91],"Chili":[92],"Repetitive":[93],"Corpus":[94],"show":[95],"reconstruction":[96],"accuracy":[97],"between":[98],"99.90%":[99],"99.98%.":[101],"Image-pathway":[102],"differences":[104],"against":[105],"dictionary":[106],"context-model":[108],"baselines":[109],"are":[110],"statistically":[111],"significant":[112],"(p":[113],"<":[114],".001).":[115],"Mean":[116],"total":[117],"is":[119],"3.71":[120],"s":[121,126],"per":[122,127],"8.01":[125],"collection,":[129],"corresponding":[130],"throughputs":[132],"11.2":[134],"MB/s":[135],"58.4":[137],"MB/s,":[138],"which":[139],"supports":[140],"near-real-time":[141],"deployment":[142],"backends.":[145]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2026-11-12T00:00:00"}
