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001471948 001__ 1471948
001471948 003__ OCoLC
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001471948 020__ $$a9789819906055$$q(electronic bk.)
001471948 020__ $$a9819906059$$q(electronic bk.)
001471948 0247_ $$a10.1007/978-981-99-0605-5$$2doi
001471948 035__ $$aSP(OCoLC)1390921201
001471948 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dEBLCP$$dOCLCQ
001471948 049__ $$aISEA
001471948 050_4 $$aQA76.9.A25
001471948 08204 $$a005.8$$223/eng/20230726
001471948 1112_ $$aInternational Conference on Intelligent Information Hiding and Multimedia Signal Processing$$n(18th :$$d2022 :$$cKitayushu, Japan)
001471948 24510 $$aAdvances in intelligent information hiding and multimedia signal processing :$$bproceeding of the 18th IIH-MSP 2022 Kitakyushu, Japan.$$nVolume 1 /$$cShaowei Weng, Chin-Shiuh Shieh, George A. Tsihrintzis, editors.
001471948 2463_ $$aIIH-MSP 2022
001471948 260__ $$aSingapore :$$bSpringer,$$c2023.
001471948 300__ $$a1 online resource (401 p.).
001471948 4901_ $$aSmart Innovation, Systems and Technologies ;$$vv.341
001471948 500__ $$a8.2 Model Architecture
001471948 500__ $$aIncludes author index.
001471948 5050_ $$aIntro -- Preface -- Contents -- About the Editors -- 1 Power Quality Disturbance Identification in High Noise Environment Based on Feature Fusion -- 1.1 Introduction -- 1.2 Influence of High Noise Environment on Power Quality Disturbance Identification -- 1.3 Feature Fusion Based on Discriminant Correlation Analysis (DCA) Method -- 1.3.1 Discriminant Correlation Analysis (DCA) Method -- 1.3.2 Feature Extraction -- 1.4 Power Quality Disturbance Identification in High Noise Environment Based on Feature Fusion -- 1.4.1 Correlation Computation Based on Mutual Information -- 1.4.2 Weighted Voting
001471948 5058_ $$a1.4.3 Power Quality Disturbance Identification in High Noise Environment Based on Feature Fusion -- 1.5 Simulation -- 1.6 Experimental Results and Analysis -- 1.7 Conclusion -- References -- 2 Binary Tumbleweed Algorithm for Application of Feature Selection -- 2.1 Introduction -- 2.2 Related Work -- 2.2.1 Tumbleweed Algorithm -- 2.2.2 Binary Tumbleweed Algorithm -- 2.3 Feature Selection -- 2.3.1 Dataset Description -- 2.3.2 KNN and K-Fold -- 2.3.3 Evaluation Standard -- 2.4 Simulation Experiments -- 2.5 Conclusions -- References -- 3 New Optimization Method Based on Binary Tumbleweed Algorithm
001471948 5058_ $$a3.1 Introduction -- 3.2 Tumbleweed Algorithm -- 3.2.1 Seedling Growth Stage -- 3.2.2 Seedling Propagation Stage -- 3.3 Binary Tumbleweed Algorithm -- 3.4 Experiments Results and Analysis -- 3.5 Conclusion -- References -- 4 Chaos Rafflesia Optimization Algorithm -- 4.1 Introduction -- 4.2 Materials and Methods -- 4.2.1 Insect Attraction Stage -- 4.2.2 Swallow the Insect Stage -- 4.2.3 Propagation Stage -- 4.3 Improved ROA Algorithm (CROA) -- 4.3.1 Chaos Map -- 4.3.2 Random Walk Strategy -- 4.4 Experiment and Comparison Results -- 4.4.1 Comparison Experiments
001471948 5058_ $$a4.4.2 Comparison with Other Heuristic Algorithms -- 4.5 Conclusion -- References -- 5 A Brief Overview of Recent Energy-Saving Researches in Smart Homes -- 5.1 Introduction -- 5.2 Smart Home Energy-Saving Architecture -- 5.3 Smart Home Energy-Saving Schemes -- 5.4 Research on Smart Home Algorithm -- 5.5 Discussion -- References -- 6 An Overview of Recent Research on IoT-Based Energy Management System in Smart Homes -- 6.1 Introduction -- 6.2 IoT-Based HEMS Architecture -- 6.2.1 Energy Supply Side -- 6.2.2 Management and Control Center -- 6.2.3 Device Side -- 6.3 Data Acquisition Module
001471948 5058_ $$a6.4 Communication Module -- 6.5 Management and Optimization Module -- 6.6 Discussion -- 6.7 Conclusion -- References -- 7 Data Masking Analysis Based on Masked Autoencoders Architecture for Leaf Diseases Classification -- 7.1 Introduction -- 7.2 Materials and Methods -- 7.2.1 Research Workflow -- 7.2.2 MAE Architecture -- 7.2.3 Dataset -- 7.2.4 Metrics Evaluation -- 7.3 Results and Discussion -- 7.3.1 Results -- 7.3.2 Discussion -- 7.4 Conclusion -- References -- 8 Chinese Named Entity Recognition Based BERT-Decoder-CRF in Turbine Generator Set Fault Diagnosis -- 8.1 Introduction
001471948 506__ $$aAccess limited to authorized users.
001471948 520__ $$aThis book presents selected papers from the 18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, in conjunction with the 15th International Conference on Frontiers of Information Technology, Applications, and Tools, held on December 1618, 2022, in Kitakyushu, Japan. It is divided into two volumes and discusses latest research outcomes in the field of information technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and internet of things, and their applications.
001471948 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 26, 2023).
001471948 650_0 $$aComputer security$$vCongresses.
001471948 650_0 $$aInformation technology$$xTechnological innovations$$vCongresses.
001471948 655_0 $$aElectronic books.
001471948 7001_ $$aWeng, Shaowei.
001471948 7001_ $$aShieh, Chin-Shiuh.
001471948 7001_ $$aTsihrintzis, George A.
001471948 77608 $$iPrint version:$$aWeng, Shaowei$$tAdvances in Intelligent Information Hiding and Multimedia Signal Processing$$dSingapore : Springer Singapore Pte. Limited,c2023$$z9789819906048
001471948 830_0 $$aSmart innovation, systems, and technologies ;$$v341.
001471948 852__ $$bebk
001471948 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-0605-5$$zOnline Access$$91397441.1
001471948 909CO $$ooai:library.usi.edu:1471948$$pGLOBAL_SET
001471948 980__ $$aBIB
001471948 980__ $$aEBOOK
001471948 982__ $$aEbook
001471948 983__ $$aOnline
001471948 994__ $$a92$$bISE