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001481264 001__ 1481264
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001481264 019__ $$a1402037162
001481264 020__ $$a9789819927425$$q(electronic bk.)
001481264 020__ $$a9819927420$$q(electronic bk.)
001481264 0247_ $$a10.1007/978-981-99-2742-5$$2doi
001481264 035__ $$aSP(OCoLC)1401055761
001481264 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dAU@
001481264 049__ $$aISEA
001481264 050_4 $$aQA76.9.S63
001481264 08204 $$a006.3$$223/eng/20231012
001481264 1112_ $$aInternational Conference on Cognitive and Intelligent Computing$$n(2nd :$$d2022 :$$cHyderabad, India)
001481264 24510 $$aProceedings of the 2nd International Conference on Cognitive and Intelligent Computing :$$bICCIC 2022, 27-28 December, Hyderabad, India.$$nVolume 1 /$$cAmit Kumar, Gheorghita Ghinea, Suresh Merugu, editors.
001481264 2463_ $$aICCIC 2022
001481264 260__ $$aSingapore :$$bSpringer,$$c2023.
001481264 300__ $$a1 online resource (755 p.).
001481264 338__ $$aonline resource$$bcr$$2rdacarrier
001481264 4901_ $$aCognitive Science and Technology
001481264 500__ $$a3 Proposed Method
001481264 5050_ $$aIntro -- Contents -- Making Cell-Free Massive MIMO Using MRC Technique -- 1 Introduction -- 2 Existing Method -- 3 Proposed System -- 4 Massive MIMO Model -- 5 Channel Estimation -- 6 Results -- 7 Conclusion -- References -- VIP Development of SPI Controller for Open-Power Processor-Based Fabless SOC -- 1 Introduction -- 2 The Study's Objectives -- 3 UVM Testbench -- 4 Design of SPI -- 5 Verification of SPI -- 6 Results -- 6.1 Transcript Results -- 6.2 Waveform Results -- 7 Conclusion and Future Scope -- References -- Cell-Free Massive MIMO Versus Small Cells -- 1 Introduction
001481264 5058_ $$a2 Exisiting System -- 3 Proposed System -- 4 Pilot Assignment and Power Control -- 5 Small-Cell System -- 6 Results -- 7 Conclusion and Future Scope -- References -- High-Precision Navigation Using Particle Swarm Optimization-Based KF -- 1 Introduction -- 2 Methods -- 2.1 Kalman Filter -- 2.2 Particle Swarm Optimization -- 2.3 Optimal Parameters into Kalman Filter -- 3 Results -- 4 Discussions -- 5 Conclusion and Future Work -- References -- Recent Advancements for Detection and Prediction of Breast Cancer Using Deep Learning: A Review? -- 1 Introduction -- 1.1 X-ray Mammography
001481264 5058_ $$a1.2 Ultrasound Imaging -- 1.3 Magnetic Resonance Imaging (MRI) -- 1.4 Machine Learning Concepts -- 1.5 Literature Review -- 2 Conclusion -- References -- Ensemble Decision Fusion of Deep Learning Classifiers for Heart Disease Classification -- 1 Introduction -- 2 Literature Survey -- 3 Ensemble Decision Fusion -- 3.1 Deep Learning ECG-Based CNN (C1) -- 3.2 DFT Feature-Based CNN Classifier (C2) -- 3.3 TQWT Feature-Based CNN Classifier (C3) -- 3.4 Db4-Based CNN Classifier (C4) -- 3.5 Ensemble Decision Fusion -- 4 Results -- 5 Conclusion -- References
001481264 5058_ $$aImplementation of Automatic Vending Machine Using FPGA -- 1 Introduction -- 2 Proposed Work -- 3 Design Methodology -- 4 Results and Discussions -- 5 Conclusion -- References -- Automatic Vehicle Signal Enabling System -- 1 Introduction -- 2 Problem Definition -- 3 Related Work -- 4 Design of Proposed System -- 4.1 Software Tier -- 4.2 Hardware Tier -- 4.3 Java Script Libraries Used -- 5 Methodology of the Proposed System -- 5.1 Software for User Interface -- 5.2 Integration of User Interface with Hardware -- 5.3 Hardware (Raspberry Pi3) -- 5.4 Cross Checking with Directions
001481264 5058_ $$a6 Experimental Results and Discussions -- 6.1 Applications -- 7 Conclusion -- References -- Study Report of Tor Antiforensic Techniques -- 1 Cybercrime -- 2 Antiforensic Services on TOR -- 2.1 TOR Browser -- 2.2 Encryption -- 2.3 Onion Routing -- 3 Analysis of Deanonymization Techniques -- 3.1 Traffic Analysis -- 3.2 Bridge Discovery -- 3.3 Other Approaches -- 3.4 Pluggable Transports -- 4 Proposed Model -- 5 Conclusion -- References -- Analysis of Underlying and Forecasting Factors of Type 1 Diabetes and Prediction of Diabetes Using Machine Learning -- 1 Introduction -- 2 Related Work
001481264 506__ $$aAccess limited to authorized users.
001481264 520__ $$aThis book includes original, peer-reviewed articles from the 2nd International Conference on Cognitive & Intelligent Computing (ICCIC-2022), held at Vasavi College of Engineering Hyderabad, India. It covers the latest trends and developments in areas of cognitive computing, intelligent computing, machine learning, smart cities, IoT, artificial intelligence, cyber-physical systems, cybernetics, data science, neural network, and cognition. This book addresses the comprehensive nature of computational intelligence, cognitive computing, AI, ML, and DL to emphasize its character in modeling, identification, optimization, prediction, forecasting, and control of future intelligent systems. Submissions are original, unpublished, and present in-depth fundamental research contributions either from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.
001481264 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 12, 2023).
001481264 650_0 $$aSoft computing$$vCongresses.$$vCongresses$$0(DLC)sh2008111997
001481264 650_0 $$aComputational intelligence$$vCongresses.$$0(DLC)sh 94004659
001481264 655_0 $$aElectronic books.
001481264 7001_ $$aKumar, Amit.
001481264 7001_ $$aGhinea, Gheorghita.
001481264 7001_ $$aMerugu, Suresh.
001481264 77608 $$iPrint version:$$aKumar, Amit$$tProceedings of the 2nd International Conference on Cognitive and Intelligent Computing$$dSingapore : Springer,c2023$$z9789819927418
001481264 830_0 $$aCognitive science and technology.
001481264 852__ $$bebk
001481264 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-2742-5$$zOnline Access$$91397441.1
001481264 909CO $$ooai:library.usi.edu:1481264$$pGLOBAL_SET
001481264 980__ $$aBIB
001481264 980__ $$aEBOOK
001481264 982__ $$aEbook
001481264 983__ $$aOnline
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