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001468578 001__ 1468578
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001468578 019__ $$a1380994277$$a1381097029
001468578 020__ $$a9783031355103$$q(electronic bk.)
001468578 020__ $$a3031355105$$q(electronic bk.)
001468578 020__ $$z9783031355097$$q(print)
001468578 020__ $$z3031355091
001468578 0247_ $$a10.1007/978-3-031-35510-3$$2doi
001468578 035__ $$aSP(OCoLC)1381680653
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001468578 049__ $$aISEA
001468578 050_4 $$aQA76.76.E95$$bI58 2022eb
001468578 08204 $$a006.3/3$$223/eng/20230609
001468578 1112_ $$aInternational Conference on Intelligent Systems Design and Applications$$n(22nd :$$d2022 :$$cOnline)
001468578 24510 $$aIntelligent systems design and applications :$$b22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) held December 12-14, 2022.$$nVolume 4 /$$cAjith Abraham, Sabri Pllana, Gabriella Casalino, Kun Ma, Anu Bajaj, editors.
001468578 264_1 $$aCham :$$bSpringer,$$c2023.
001468578 300__ $$a1 online resource (xv, 617 pages) :$$billustrations (some color).
001468578 336__ $$atext$$btxt$$2rdacontent
001468578 337__ $$acomputer$$bc$$2rdamedia
001468578 338__ $$aonline resource$$bcr$$2rdacarrier
001468578 4901_ $$aLecture notes in networks and Systems,$$x2367-3389 ;$$v717
001468578 500__ $$aIncludes author index.
001468578 5050_ $$aIntro -- Preface -- ISDA 2022-Organization -- Contents -- Machine Learning Approach for Detection of Mental Health -- 1 Introduction -- 2 Literature Review -- 3 Dataset Description -- 4 Proposed Model -- 5 Results and Discussion -- 6 Conclusion and Future Scope -- References -- U-Net as a Tool for Adjusting the Velocity Distributions of Rheomagnetic Fluids -- 1 Introduction -- 2 Theoretical Basics -- 2.1 Physics-Based Loss -- 2.2 Rheomagnetic Fluids -- 3 Simulation Modeling -- 4 Results and Discussion -- 5 Conclusions -- References
001468578 5058_ $$aDetection of Similarity Between Business Process Models with the Integration of Semantics in Similarity Measures -- 1 Introduction -- 2 Similarity Measures -- 2.1 Syntactic Measures -- 2.2 Semantic Measures -- 2.3 Structural Measures -- 2.4 Behavioral Measures -- 3 Problem Illustration -- 3.1 Similarity Measures -- 3.2 Dimensions of Semantic Similarity -- 3.3 Cardinality Problem -- 3.4 Genetic Algorithm -- 4 Related Work -- 5 Our Approach -- 5.1 Steps of Genetic Algorithm -- 6 Conclusion -- References -- Efficient Twitter Sentiment Analysis System Using Deep Learning Algorithm -- 1 Introduction
001468578 5058_ $$a2 Literature Review -- 3 Proposed Method -- 3.1 Pre-processing -- 3.2 User-Mention -- 3.3 EMOJ Positive and Negative -- 3.4 Feature Selection -- 3.5 Classification -- 4 Experimental Results and Discussion -- 5 Conclusion -- References -- An Efficient Deep Learning-Based Breast Cancer Detection Scheme with Small Datasets -- 1 Introduction -- 1.1 Contributions -- 2 Proposed Method -- 2.1 Preprocessing -- 2.2 CNN Architecture -- 3 Datasets -- 4 Results and Discussion -- 5 Conclusion -- References -- Comparative Analysis of Machine Learning Models for Customer Segmentation -- 1 Introduction
001468578 5058_ $$a2 Problem Statement -- 3 Literature Review -- 4 Algorithms for Customer Segmentation -- 4.1 Customer Segmentation Using K-Means -- 4.2 Customer Segmentation Using DBSCAN -- 4.3 Agglomerative Clustering (Using PCA) -- 4.4 K-Means Using PCA -- 5 Results and Discussion -- 5.1 K-Means Model -- 5.2 DBSCAN -- 5.3 Agglomerative Clustering with PCA -- 5.4 Kmeans with PCA -- 6 Conclusion -- References -- An Intelligent Approach to Identify the Eggs of the Insect Bemisia Tabaci -- 1 Introduction -- 2 Overview of Proposed Approach -- 2.1 Deep Learning Algorithm -- 2.2 Auto-encoder
001468578 5058_ $$a2.3 Stacked Auto-encoder for Egg Classification -- 3 Results and Discussion -- 3.1 Databases Used -- 3.2 Result -- 3.3 Test Phase -- 4 Conclusion -- References -- Overview of Blockchain-Based Seafood Supply Chain Management -- 1 Introduction -- 2 Blockchain Technology: Overview and Adoption in Supply Chains Management -- 3 An Overview of Blockchain Based Seafood Supply Chain Management Systems -- 4 Discussion and Research Challenges -- 5 Conclusion -- References -- Synthesis of a DQN-Based Controller for Improving Performance of Rotor System with Tribotronic Magnetorheological Bearing
001468578 506__ $$aAccess limited to authorized users.
001468578 520__ $$aThis book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 65 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering. .
001468578 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 9, 2023).
001468578 650_0 $$aExpert systems (Computer science)$$vCongresses.
001468578 650_0 $$aArtificial intelligence$$vCongresses.
001468578 655_0 $$aElectronic books.
001468578 7001_ $$aAbraham, Ajith,$$d1968-$$eeditor.
001468578 7001_ $$aPllana, Sabri,$$eeditor.
001468578 7001_ $$aCasalino, Gabriella,$$eeditor.$$1https://orcid.org/0000-0003-0713-2260
001468578 7001_ $$aMa, Kun$$c(Computer scientist),$$eeditor.
001468578 7001_ $$aBajaj, Anu,$$eeditor.
001468578 77608 $$iPrint version: $$z3031355091$$z9783031355097$$w(OCoLC)1366124564
001468578 830_0 $$aLecture notes in networks and systems ;$$vv. 717.$$x2367-3389
001468578 852__ $$bebk
001468578 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-35510-3$$zOnline Access$$91397441.1
001468578 909CO $$ooai:library.usi.edu:1468578$$pGLOBAL_SET
001468578 980__ $$aBIB
001468578 980__ $$aEBOOK
001468578 982__ $$aEbook
001468578 983__ $$aOnline
001468578 994__ $$a92$$bISE