{"id":"https://openalex.org/W7220302111","doi":null,"title":"Deep Learning Technologies and Their Applications in the Advancement of Artificial Intelligence","display_name":"Deep Learning Technologies and Their Applications in the Advancement of Artificial Intelligence","publication_year":2026,"publication_date":"2026-08-31","ids":{"openalex":"https://openalex.org/W7220302111"},"language":"en","primary_location":{"id":"pmh:oai:ojs2.seriesofconference.com:article/393","doi":null,"is_oa":true,"landing_page_url":"https://seriesofconference.com/index.php/SCJ/article/view/393","pdf_url":"https://seriesofconference.com/index.php/SCJ/article/download/393/392","source":{"id":"https://openalex.org/S7407075613","display_name":"CPS Digital Library - Series of Conferences","issn_l":"3106-4876","issn":["3106-4876"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3106-4876","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://seriesofconference.com/index.php/SCJ/article/download/393/392","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5157310286","display_name":"Jianzhi Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wang, Jianzhi","raw_affiliation_strings":["Xiangzhang Avenue, Shushan District, Hefei City, Anhui Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiangzhang Avenue, Shushan District, Hefei City, Anhui Province, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5157310286"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.5214999914169312,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.5214999914169312,"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/T13904","display_name":"Artificial Intelligence Applications","score":0.43849998712539673,"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":0.016699999570846558,"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/deep-learning","display_name":"deep learning","score":0.9729999899864197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"artificial intelligence","score":0.7580000162124634},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7289999723434448},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.9440000057220459},{"id":"https://openalex.org/keywords/resnet","display_name":"ResNet","score":0.9850000143051147},{"id":"https://openalex.org/keywords/generative-adversarial-networks","display_name":"generative adversarial networks","score":1.0},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.9229999780654907},{"id":"https://openalex.org/keywords/semantic-segmentation","display_name":"semantic segmentation","score":1.0},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"natural language understanding","score":0.9300000071525574},{"id":"https://openalex.org/keywords/machine-translation","display_name":"machine translation","score":0.996999979019165},{"id":"https://openalex.org/keywords/autonomous-driving","display_name":"autonomous driving","score":0.6940000057220459},{"id":"https://openalex.org/keywords/precision-medicine","display_name":"precision medicine","score":0.9959999918937683},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.8859999775886536},{"id":"https://openalex.org/keywords/energy-optimization","display_name":"energy optimization","score":0.8460000157356262},{"id":"https://openalex.org/keywords/dataset-bias","display_name":"data bias","score":0.996999979019165},{"id":"https://openalex.org/keywords/symbolic-reasoning","display_name":"symbolic reasoning","score":0.8830000162124634},{"id":"https://openalex.org/keywords/causal-learning","display_name":"causal learning","score":0.9700000286102295},{"id":"https://openalex.org/keywords/edge-computing","display_name":"edge computing","score":0.9990000128746033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7587000131607056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7329999804496765},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7269999980926514},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.461899995803833},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4422999918460846},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3991999924182892},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.38850000500679016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3479999899864197},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C2775945657","wikidata":"https://www.wikidata.org/wiki/Q381442","display_name":"Structuring","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3172999918460846},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2897999882698059},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.27959999442100525},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.27559998631477356},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2597000002861023},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.25119999051094055},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:ojs2.seriesofconference.com:article/393","doi":null,"is_oa":true,"landing_page_url":"https://seriesofconference.com/index.php/SCJ/article/view/393","pdf_url":"https://seriesofconference.com/index.php/SCJ/article/download/393/392","source":{"id":"https://openalex.org/S7407075613","display_name":"CPS Digital Library - Series of Conferences","issn_l":"3106-4876","issn":["3106-4876"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3106-4876","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ojs2.seriesofconference.com:article/393","doi":null,"is_oa":true,"landing_page_url":"https://seriesofconference.com/index.php/SCJ/article/view/393","pdf_url":"https://seriesofconference.com/index.php/SCJ/article/download/393/392","source":{"id":"https://openalex.org/S7407075613","display_name":"CPS Digital Library - Series of Conferences","issn_l":"3106-4876","issn":["3106-4876"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3106-4876","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7220302111.pdf","grobid_xml":"https://content.openalex.org/works/W7220302111.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1498436455","https://openalex.org/W1903029394","https://openalex.org/W2064675550","https://openalex.org/W2112796928","https://openalex.org/W2136922672","https://openalex.org/W2145339207","https://openalex.org/W2194775991","https://openalex.org/W2257979135","https://openalex.org/W2919115771"],"related_works":["https://openalex.org/W4415780731","https://openalex.org/W4399900354","https://openalex.org/W4411360090","https://openalex.org/W7115059645","https://openalex.org/W7165542134","https://openalex.org/W7203751034","https://openalex.org/W4395691957","https://openalex.org/W4390548737","https://openalex.org/W4408793786","https://openalex.org/W7220164151"],"abstract_inverted_index":{"The":[0,112],"study":[1,201],"briefly":[2],"summarizes":[3],"and":[4,32,56,84,93,106,122,130,152,187,194,211],"analyzes":[5],"the":[6,13,21,35,48,128,139,208],"use":[7],"of":[8,15,24,37,81,134,141,214],"deep":[9,43,116,215],"learning":[10,40,44,105,117],"technology":[11],"in":[12,67,87,97],"development":[14],"artificial":[16],"intelligence.":[17],"In":[18,60],"response":[19],"to":[20,30,53,62,175,190],"actual":[22],"needs":[23,174],"AI\u2019s":[25],"evolution":[26],"from":[27,47],"perceptual":[28],"intelligence":[29],"cognitive":[31],"decision-making":[33],"intelligence,":[34],"algorithm":[36],"multi-layer":[38],"representation":[39],"model":[41,108,164],"for":[42,207],"has":[45],"changed":[46],"initial":[49],"convolutional":[50],"recurrent":[51],"networks":[52],"residual":[54],"structures":[55],"generative":[57,107],"adversarial":[58],"networks.":[59],"order":[61],"carry":[63],"out":[64],"large-scale":[65],"training":[66],"computing,":[68],"it":[69],"is":[70],"particularly":[71],"noteworthy":[72],"that":[73,115],"real-time":[74],"object":[75],"detection,":[76],"semantic":[77,79],"segmentation,":[78],"understanding":[80],"natural":[82],"language":[83],"machine":[85],"translation":[86],"computer":[88],"vision":[89],"are":[90,109,157],"being":[91,110],"analyzed,":[92],"new":[94],"usage":[95],"methods":[96],"important":[98],"fields":[99],"such":[100,144,162],"as":[101,145,163],"judging":[102],"complex":[103],"feedback":[104],"analyzed.":[111],"research":[113,173],"shows":[114],"uses":[118],"end-to-end":[119],"feature":[120],"abstraction":[121],"data-driven":[123],"mechanism,":[124],"which":[125],"greatly":[126],"improves":[127],"scope":[129],"practical":[131],"application":[132],"advantages":[133],"AI":[135,198],"system,":[136],"effectively":[137],"promoting":[138],"implementation":[140],"strategic":[142],"applications":[143],"autonomous":[146,153],"driving,":[147],"precision":[148],"medicine,":[149],"intelligent":[150],"interaction":[151],"decision-making.":[154],"However,":[155],"there":[156],"still":[158],"some":[159],"unsolved":[160],"problems":[161],"interpretability,":[165],"energy":[166],"consumption":[167],"optimization,":[168],"data":[169],"bias,":[170],"etc.":[171],"Future":[172],"be":[176],"more":[177,195],"deeply":[178],"integrated":[179],"with":[180],"symbolic":[181],"reasoning,":[182],"causal":[183],"learning,":[184],"edge":[185],"computing":[186],"other":[188],"technologies":[189],"establish":[191],"a":[192],"safer":[193],"efficient":[196],"general-purpose":[197],"system.":[199],"This":[200],"provides":[202],"an":[203],"organized":[204],"reference":[205],"framework":[206],"theoretical":[209],"discovery":[210],"industrial":[212],"practice":[213],"learning-enabled":[216],"AI.":[217]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-05T00:00:00"}