001451896 000__ 05329cam\a2200565\a\4500
001451896 001__ 1451896
001451896 003__ OCoLC
001451896 005__ 20230310004723.0
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001451896 008__ 221217s2022\\\\si\\\\\\o\\\\\101\0\eng\d
001451896 019__ $$a1354993739
001451896 020__ $$a9789811979460$$q(electronic bk.)
001451896 020__ $$a9811979464$$q(electronic bk.)
001451896 020__ $$z9789811979453
001451896 020__ $$z9811979456
001451896 0247_ $$a10.1007/978-981-19-7946-0$$2doi
001451896 035__ $$aSP(OCoLC)1355219927
001451896 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dYDX
001451896 049__ $$aISEA
001451896 050_4 $$aQ334
001451896 08204 $$a006.3$$223/eng/20230104
001451896 1112_ $$aInternational Symposium on Artificial Intelligence$$n(7th :$$d2022 :$$cShanghai, China)
001451896 24510 $$aArtificial intelligence and robotics :$$b7th International Symposium, ISAIR 2022, Shanghai, China, October 21-23, 2022, Proceedings.$$nPart I /$$cShuo Yang, Huimin Lu (eds.).
001451896 2463_ $$aISAIR 2022
001451896 260__ $$aSingapore :$$bSpringer,$$c2022.
001451896 300__ $$a1 online resource (444 p.).
001451896 4901_ $$aCommunications in Computer and Information Science ;$$v1700
001451896 500__ $$aAnalysis and Control for Bilateral Teleoperation Systems with Part Active Power
001451896 500__ $$aIncludes author index.
001451896 5050_ $$aIntro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Breast Ultrasound Tumor Detection Based on Active Learning and Deep Learning -- 1 Introduction -- 2 Materials and Method -- 2.1 Dataset -- 2.2 Improved MIAL with OPA-FPN -- 2.3 EfficientDet-Based Tumor Detection -- 3 Experiment -- 3.1 Implementation Details -- 3.2 The Improved MIAL Performance -- 3.3 Tumor Detection Performance -- 4 Conclusion -- References -- Adaptive Sliding Mode Control for a Hydraulic Position Servo System -- 1 Introduction
001451896 5058_ $$a2 Introduction Mathematical Model of the Electro-hydraulic Position System -- 3 Problem Formylation and Preliminary -- 4 Controller Design and Stability Analysis -- 4.1 Design of the Sliding Mode Controller -- 4.2 Stability Analysis -- 5 Simulation Verification of the Proposed Controller -- 6 Conclusion -- References -- Multimodal Interaction Fusion Network Based on Transformer for Video Captioning -- 1 Introduction -- 2 Related Work -- 2.1 Video Captioning -- 2.2 Video Captioning -- 3 Preliminaries -- 4 Methodology -- 4.1 Encoder with Multimodal Features
001451896 5058_ $$a4.2 Multimodal Feature Extraction Module -- 4.3 Cross-Attention Module with Multi-modal Features -- 4.4 Decoder with Gated Mechanism -- 4.5 Training Processing -- 5 Experiments -- 5.1 Datasets -- 5.2 Implementation Details -- 5.3 Comparison with Competing Baselines -- 5.4 Ablation Study -- 6 Conclusion -- References -- An Image Enhancement Method Based on Multi-scale Fusion -- 1 Introduction -- 2 Proposed Method -- 2.1 The Improved Homomorphic Filtering -- 2.2 CLAHE Algorithm -- 2.3 Multi-scale Fusion -- 3 Analysis of Simulation Results -- 4 Conclusion -- References
001451896 5058_ $$aResearch on Construction Technology of Graph Data Model -- 1 Introduction -- 2 Related Work -- 3 Graph Database -- 3.1 Neo4j Graph Database -- 3.2 GraphX Database -- 4 Model Design -- 4.1 Data Analysis Framework of Power Grid Topology -- 4.2 Power Grid Data Model Construction -- 5 Graph Data Model -- 5.1 CIM Model -- 5.2 Data Model with Electrical Nodes as Domain Entities -- 5.3 Data Model of Materialized Attributes -- 5.4 Materialized Time Data Model -- 6 Prospects and Challenges of Graph Data Model Construction -- 7 Conclusion -- References
001451896 5058_ $$aOptimal SVM Using an Improved FOA of Evolutionary Computing -- 1 Introduction -- 2 SVM Classifier -- 3 Fruit Fly Optimization Algorithm -- 3.1 The Basic Fruit Fly Optimization Algorithm -- 3.2 A Improved FOA -- 4 Implementation of Improved FOA-SVM Algorithm -- 4.1 Improved FOA-SVM Classification Algorithm Flow -- 4.2 Classifier Performance Evaluation Index -- 4.3 Performance Evaluation Results of Classifier Based on UCI Data Set -- 5 Experiment and Analysis -- 5.1 Image Preprocessing -- 5.2 Coal Gangue Classification Based on Improved FOA-SVM -- 6 Conclusion -- References
001451896 506__ $$aAccess limited to authorized users.
001451896 520__ $$aThis two-volume set (CCIS 1700-1701) constitutes the refereed proceedings from the 7th International Symposium on Artificial Intelligence, ISAIR 2022, held in Shanghai, China, in October 2022. The 69 presented papers were thoroughly reviewed and selected from 285 submissions. The volumes present the state-of-the-art contributions on the cognitive intelligence, computer vision, multimedia, Internet of Things, robotics, and related applications.
001451896 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 4, 2023).
001451896 650_0 $$aArtificial intelligence$$vCongresses.
001451896 655_0 $$aElectronic books.
001451896 7001_ $$aYang, Shuo.
001451896 7001_ $$aLu, Huimin$$c(Writer on Computer vision)
001451896 77608 $$iPrint version:$$aYang, Shuo$$tArtificial Intelligence and Robotics$$dSingapore : Springer,c2022$$z9789811979453
001451896 830_0 $$aCommunications in computer and information science ;$$v1700.
001451896 852__ $$bebk
001451896 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-7946-0$$zOnline Access$$91397441.1
001451896 909CO $$ooai:library.usi.edu:1451896$$pGLOBAL_SET
001451896 980__ $$aBIB
001451896 980__ $$aEBOOK
001451896 982__ $$aEbook
001451896 983__ $$aOnline
001451896 994__ $$a92$$bISE