{"id":"https://openalex.org/W2982310474","doi":"https://doi.org/10.1109/tii.2019.2950326","title":"Tree-Based Deep Networks for Edge Devices","display_name":"Tree-Based Deep Networks for Edge Devices","publication_year":2019,"publication_date":"2019-10-29","ids":{"openalex":"https://openalex.org/W2982310474","doi":"https://doi.org/10.1109/tii.2019.2950326","mag":"2982310474"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2019.2950326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2950326","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5080711681","display_name":"Ghulam Muhammad","orcid":"https://orcid.org/0000-0002-9781-3969"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Ghulam Muhammad","raw_affiliation_strings":["King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-9781-3969","affiliations":[{"raw_affiliation_string":"King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037865550","display_name":"M. Shamim Hossain","orcid":"https://orcid.org/0000-0001-5906-9422"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"M. Shamim Hossain","raw_affiliation_strings":["King Saud University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-5906-9422","affiliations":[{"raw_affiliation_string":"King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083580867","display_name":"Abdulsalam Yassine","orcid":"https://orcid.org/0000-0003-3539-0945"},"institutions":[{"id":"https://openalex.org/I72541430","display_name":"Lakehead University","ror":"https://ror.org/023p7mg82","country_code":"CA","type":"education","lineage":["https://openalex.org/I72541430"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abdulsalam Yassine","raw_affiliation_strings":["Lakehead University, Thunder Bay, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lakehead University, Thunder Bay, Canada","institution_ids":["https://openalex.org/I72541430"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6919,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.90157668,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"16","issue":"3","first_page":"2022","last_page":"2028"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.996399998664856,"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"}},"topics":[{"id":"https://openalex.org/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.996399998664856,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/benchmark","display_name":"Benchmark (surveying)","score":0.7501983642578125},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.7145935893058777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6780819892883301},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6746712327003479},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.471366286277771},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43149715662002563},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4120626747608185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37855064868927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34688520431518555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18022343516349792},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.108878493309021}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7501983642578125},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.7145935893058777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6780819892883301},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6746712327003479},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.471366286277771},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43149715662002563},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4120626747608185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37855064868927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34688520431518555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18022343516349792},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.108878493309021},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2019.2950326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2950326","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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":54,"referenced_works":["https://openalex.org/W104184427","https://openalex.org/W1686810756","https://openalex.org/W1799366690","https://openalex.org/W1836465849","https://openalex.org/W2012898329","https://openalex.org/W2067966891","https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2155541015","https://openalex.org/W2163605009","https://openalex.org/W2168231600","https://openalex.org/W2168894214","https://openalex.org/W2194775991","https://openalex.org/W2331143823","https://openalex.org/W2401231614","https://openalex.org/W2549139847","https://openalex.org/W2578907517","https://openalex.org/W2769507557","https://openalex.org/W2797917356","https://openalex.org/W2799460054","https://openalex.org/W2807954856","https://openalex.org/W2845644909","https://openalex.org/W2891846480","https://openalex.org/W2897350321","https://openalex.org/W2900465450","https://openalex.org/W2908273910","https://openalex.org/W2912348842","https://openalex.org/W2915149867","https://openalex.org/W2918087949","https://openalex.org/W2947285017","https://openalex.org/W2949117887","https://openalex.org/W2952045807","https://openalex.org/W2954214015","https://openalex.org/W2959012313","https://openalex.org/W2963125010","https://openalex.org/W2963606038","https://openalex.org/W2963628712","https://openalex.org/W2964137095","https://openalex.org/W2964326881","https://openalex.org/W2964349401","https://openalex.org/W3118608800","https://openalex.org/W4294375521","https://openalex.org/W6604254268","https://openalex.org/W6637373629","https://openalex.org/W6638444622","https://openalex.org/W6638667902","https://openalex.org/W6682778277","https://openalex.org/W6684191040","https://openalex.org/W6684665197","https://openalex.org/W6684859321","https://openalex.org/W6685444988","https://openalex.org/W6701947533","https://openalex.org/W6713132643","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W2086519370","https://openalex.org/W2087343574"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"a":[3,34,51,79,83,97],"tree-based":[4],"deep":[5],"model":[6,95],"for":[7],"effective":[8],"load":[9],"distribution":[10],"to":[11],"edge":[12,63],"devices":[13,64],"without":[14,107],"much":[15,108],"loss":[16,109],"of":[17,26,46,58,69,105,110],"accuracy.":[18,111],"The":[19,37,54],"input":[20],"image":[21],"is":[22,31,48],"divided":[23],"into":[24],"groups":[25],"volumes,":[27],"and":[28,43,82],"each":[29,45,59],"volume":[30],"passed":[32],"through":[33],"tree":[35,38],"structure.":[36],"structure":[39],"has":[40,96],"many":[41],"branches":[42],"levels,":[44],"which":[47],"represented":[49],"by":[50,101],"convolutional":[52],"layer.":[53],"layers":[55,71],"are":[56,76],"independent":[57],"other.":[60],"Therefore,":[61],"various":[62],"can":[65],"update":[66],"the":[67,70,93,103],"parameters":[68,106],"in":[72],"parallel":[73],"independently.":[74],"Experiments":[75],"performed":[77],"using":[78],"benchmark":[80],"dataset":[81],"publicly":[84],"available":[85],"date":[86],"fruits":[87],"database.":[88],"Experimental":[89],"results":[90],"show":[91],"that":[92],"proposed":[94],"high":[98],"information":[99],"density":[100],"reducing":[102],"number":[104]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":9}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
