{"id":"https://openalex.org/W2558974524","doi":"https://doi.org/10.4108/eai.30-11-2016.2267463","title":"DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit","display_name":"DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2558974524","doi":"https://doi.org/10.4108/eai.30-11-2016.2267463","mag":"2558974524"},"language":"en","primary_location":{"id":"doi:10.4108/eai.30-11-2016.2267463","is_oa":false,"landing_page_url":"https://doi.org/10.4108/eai.30-11-2016.2267463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the The 8th EAI International Conference on Mobile Computing, Applications and Services","raw_type":"proceedings-article"},"type":"conference-paper","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/A5045638679","display_name":"Nicholas D. Lane","orcid":"https://orcid.org/0000-0002-2728-8273"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicholas Lane","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087701164","display_name":"Sourav Bhattacharya","orcid":"https://orcid.org/0000-0001-9670-5264"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sourav Bhattacharya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020784139","display_name":"Akhil Mathur","orcid":"https://orcid.org/0000-0002-1475-3017"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akhil Mathur","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060293828","display_name":"Claudio Forlivesi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Claudio Forlivesi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5053438231","display_name":"Fahim Kawsar","orcid":"https://orcid.org/0000-0001-5057-9557"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fahim Kawsar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":34,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9995999932289124,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9995999932289124,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9945999979972839,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9943000078201294,"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":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7588138580322266},{"id":"https://openalex.org/keywords/transformative-learning","display_name":"Transformative learning","score":0.6862220168113708},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6681828498840332},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5097722411155701},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.502608060836792},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4726112186908722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46687620878219604},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.44956278800964355},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3505718410015106},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.34913474321365356},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3453654944896698},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3391702473163605},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12035319209098816},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11363202333450317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7588138580322266},{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.6862220168113708},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6681828498840332},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5097722411155701},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.502608060836792},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4726112186908722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46687620878219604},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.44956278800964355},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3505718410015106},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.34913474321365356},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3453654944896698},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3391702473163605},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12035319209098816},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11363202333450317},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4108/eai.30-11-2016.2267463","is_oa":false,"landing_page_url":"https://doi.org/10.4108/eai.30-11-2016.2267463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the The 8th EAI International Conference on Mobile Computing, Applications and Services","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1598866093","https://openalex.org/W1686810756","https://openalex.org/W1724438581","https://openalex.org/W1841592590","https://openalex.org/W1902934009","https://openalex.org/W1905153633","https://openalex.org/W1977295820","https://openalex.org/W1991539813","https://openalex.org/W1997430507","https://openalex.org/W2002261403","https://openalex.org/W2034940213","https://openalex.org/W2046056978","https://openalex.org/W2084910356","https://openalex.org/W2112796928","https://openalex.org/W2129861682","https://openalex.org/W2136922672","https://openalex.org/W2139671364","https://openalex.org/W2142817672","https://openalex.org/W2145287260","https://openalex.org/W2149708663","https://openalex.org/W2150341604","https://openalex.org/W2150662023","https://openalex.org/W2152839228","https://openalex.org/W2160815625","https://openalex.org/W2186111442","https://openalex.org/W2294543795","https://openalex.org/W2295001676","https://openalex.org/W2468875367","https://openalex.org/W2515357728","https://openalex.org/W2546536770","https://openalex.org/W2618530766","https://openalex.org/W2949605076","https://openalex.org/W2950769435","https://openalex.org/W2950858732"],"related_works":["https://openalex.org/W2169196470","https://openalex.org/W4385368139","https://openalex.org/W4237580245","https://openalex.org/W3113185420","https://openalex.org/W2906134827","https://openalex.org/W4322745238","https://openalex.org/W4241245680","https://openalex.org/W3124327509","https://openalex.org/W4384833310","https://openalex.org/W3200688510"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"is":[2,19,42],"having":[3],"a":[4,16],"transformative":[5],"effect":[6],"on":[7],"how":[8],"sensor":[9],"data":[10],"are":[11,29],"processed":[12],"and":[13,36],"interpreted.":[14],"As":[15],"result,":[17],"it":[18],"becoming":[20],"increasingly":[21],"feasible":[22],"to":[23,33],"build":[24],"sensor-based":[25],"computational":[26],"models":[27],"that":[28,44],"much":[30],"more":[31],"robust":[32],"real-world":[34],"noise":[35],"complexity":[37],"than":[38],"previously":[39],"possible.":[40],"It":[41],"paramount":[43],"t":[45]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
