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001480704 001__ 1480704
001480704 003__ OCoLC
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001480704 0247_ $$a10.1007/978-981-99-5837-5$$2doi
001480704 035__ $$aSP(OCoLC)1396180832
001480704 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO
001480704 049__ $$aISEA
001480704 050_4 $$aQ334
001480704 08204 $$a006.3$$223/eng/20230912
001480704 1112_ $$aAsian Conference on Intelligent Information and Database Systems$$n(15th :$$d2023 :$$cPhuket, Thailand)
001480704 24510 $$aIntelligent information and database systems :$$b15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24-26, 2023, proceedings.$$nPart II /$$cNgoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumiła Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa, Ali Selamat, editors.
001480704 24630 $$aACIIDS 2023
001480704 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001480704 264_4 $$c©2023
001480704 300__ $$a1 online resource (xxviii, 377 pages) :$$billustrations (some color).
001480704 336__ $$atext$$btxt$$2rdacontent
001480704 337__ $$acomputer$$bc$$2rdamedia
001480704 338__ $$aonline resource$$bcr$$2rdacarrier
001480704 4901_ $$aLecture notes in computer science. Lecture notes in artificial intelligence ;$$v13996
001480704 4901_ $$aLNCS sublibrary: SL7 - Artificial intelligence
001480704 500__ $$aConference proceedings.
001480704 500__ $$aIncludes author index.
001480704 5050_ $$aIntro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Knowledge Integration and Analysis -- A New Data Transformation and Resampling Approach for Prediction of Yield Strength of High-Entropy Alloys -- 1 Introduction -- 2 Data Description -- 3 Statistical Analysis of the YS1 Dataset -- 4 Experimental Results -- 4.1 Comparison of Multiple Linear Models -- 4.2 Comparison of AutoGluon-generated Models -- 5 Conclusions -- References -- A Semi-Formal Approach to Describing Semantics of Data Modeling Patterns -- 1 Introduction -- 2 Conceptual Layer of Metamodels
001480704 5058_ $$a3 Method for Pattern Specification -- 3.1 Description Layer -- 3.2 Specification Layer -- 3.3 Implementation Layer -- 3.4 Patterns as a Part of a Concept System -- 4 Generalized Network: A Case Study -- 4.1 Description Layer -- 4.2 Specification Layer -- 4.3 Implementation Layer -- 5 Conclusions -- References -- Obfuscating LLVM IR with the Application of Lambda Calculus -- 1 Introduction -- 2 Related Works -- 3 Purpose -- 4 Method -- 5 Experiment -- 5.1 Experimental Results -- 6 Discussion -- 6.1 Variation with the Depth of the Loop Nesting -- 6.2 Performance Measurement of a Practical Program
001480704 5058_ $$a7 Conclusion -- References -- Structural and Compact Latent Representation Learning on Sparse Reward Environments -- 1 Introduction -- 2 Related Works -- 3 Background -- 3.1 Fully and Partially Observable MDP -- 3.2 Proximal Policy Optimization -- 3.3 Latent Encoding via AE and VAE -- 4 Method -- 4.1 Learning Compact Latent Representations -- 4.2 Exploration on the Learned Latent Space -- 5 Experiments -- 5.1 Environments and Configs -- 5.2 Results and Analysis -- 6 Conclusion -- References -- A Survey of Explainable Artificial Intelligence Approaches for Sentiment Analysis -- 1 Introduction
001480704 5058_ $$a2 Background -- 2.1 Sentiment Analysis -- 2.2 Explainable Artificial Intelligence -- 3 Explainable AI in Sentiment Analysis -- 4 Trends and Challenges -- 5 Summary -- References -- Social Collective Model of Non-internet Social Networks -- 1 Introduction and Related Works -- 2 Related Works -- 3 Overall Model of the Social Collective -- 4 Communication Module -- 5 Evaluation of the Model -- 6 Conclusions -- References -- A Data-Driven Scheduling Strategy for Mobile Air Quality Monitoring Devices -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework
001480704 5058_ $$a3.1 Overview of the Air Quality Monitoring System -- 3.2 Overview of the Framework -- 3.3 Multitask Learning-Based Air Quality Prediction Model -- 3.4 Adaptive Scheduling Algorithm -- 4 Performance Evaluation -- 4.1 Hardware Implementation -- 4.2 Experimental Setup -- 4.3 Benchmark Algorithms -- 4.4 Evaluation Metrics -- 4.5 Numerical Results -- 5 Conclusion -- References -- Hybrid Approaches to Sentiment Analysis of Social Media Data -- 1 Introduction -- 2 Literature Review -- 2.1 Preprocessing -- 2.2 Vectorization -- 2.3 Negation Handling -- 2.4 Lexicon-Based Model -- 3 Methodology
001480704 506__ $$aAccess limited to authorized users.
001480704 520__ $$aThis two-volume set LNAI 13995 and LNAI 13996 constitutes the refereed proceedings of the 15th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2023, held in Phuket, Thailand, during July 2426, 2023. The 65 full papers presented in these proceedings were carefully reviewed and selected from 224 submissions. The papers of the 2 volume-set are organized in the following topical sections: Case-Based Reasoning and Machine Comprehension; Computer Vision; Data Mining and Machine Learning; Knowledge Integration and Analysis; Speech and Text Processing; and Resource Management and Optimization.
001480704 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 12, 2023).
001480704 650_6 $$aIntelligence artificielle$$vCongrès.
001480704 650_6 $$aBases de données$$xGestion$$vCongrès.
001480704 650_0 $$aArtificial intelligence$$vCongresses.$$xMedical applications$$0(DLC)sh 88003000
001480704 650_0 $$aDatabase management$$vCongresses.$$vCongresses$$0(DLC)sh2008102037
001480704 655_0 $$aElectronic books.
001480704 655_7 $$aproceedings (reports)$$2aat
001480704 655_7 $$aConference papers and proceedings.$$2lcgft
001480704 655_7 $$aActes de congrès.$$2rvmgf
001480704 7001_ $$aNguyen, Ngoc Thanh$$c(Computer scientist),$$eeditor.$$c(Computer scientist)$$0(Uk)007172842
001480704 7001_ $$aBoonsang, Siridech,$$eeditor.
001480704 7001_ $$aFujita, Hamido,$$eeditor.
001480704 7001_ $$aHnatkowska, Bogumiła,$$eeditor.
001480704 7001_ $$aHong, Tzung-Pei,$$d1963-$$eeditor.
001480704 7001_ $$aPasupa, Kitsuchart,$$eeditor.
001480704 7001_ $$aSelamat, Ali,$$eeditor.
001480704 77608 $$iPrint version: $$z9819958334$$z9789819958337$$w(OCoLC)1390773543
001480704 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001480704 830_0 $$aLecture notes in computer science ;$$v13996.
001480704 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001480704 852__ $$bebk
001480704 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-5837-5$$zOnline Access$$91397441.1
001480704 909CO $$ooai:library.usi.edu:1480704$$pGLOBAL_SET
001480704 980__ $$aBIB
001480704 980__ $$aEBOOK
001480704 982__ $$aEbook
001480704 983__ $$aOnline
001480704 994__ $$a92$$bISE