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001435237 001__ 1435237
001435237 003__ OCoLC
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001435237 019__ $$a1249945155
001435237 020__ $$a9789813361768$$q(electronic bk.)
001435237 020__ $$a981336176X$$q(electronic bk.)
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001435237 0247_ $$a10.1007/978-981-33-6176-8$$2doi
001435237 035__ $$aSP(OCoLC)1243550943
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001435237 049__ $$aISEA
001435237 050_4 $$aQ334
001435237 08204 $$a006.3$$223
001435237 1112_ $$aInternational Conference on Intelligent and Smart Computing in Data Analytics$$d(2020 :$$cVaddeswaram, India)
001435237 24510 $$aInternational Conference on Intelligent and Smart Computing in Data Analytics :$$bISCDA 2020 /$$cSiddhartha Bhattacharyya, Janmenjoy Nayak, Kolla Bhanu Prakash, Bighnaraj Naik, Ajith Abraham, editors.
001435237 24630 $$aISCDA 2020
001435237 264_1 $$aSingapore :$$bSpringer,$$c[2021]
001435237 300__ $$a1 online resource (301 pages)
001435237 336__ $$atext$$btxt$$2rdacontent
001435237 337__ $$acomputer$$bc$$2rdamedia
001435237 338__ $$aonline resource$$bcr$$2rdacarrier
001435237 4901_ $$aAdvances in intelligent systems and computing ;$$vvolume 1312
001435237 500__ $$aInternational conference proceedings.
001435237 500__ $$aIncludes author index.
001435237 5050_ $$aIntro -- Preface -- Acknowledgements -- Contents -- About the Editors -- Performance Analysis of Machine Learning Algorithms Over a Network Traffic -- 1 Introduction -- 2 Literature Survey -- 3 Problem Specifications -- 4 Implementation -- 4.1 The Dataset -- 4.2 The Supervised Learning -- 4.3 The Multilayer Perceptron (MLP) -- 4.4 The Random Forest Classifier -- 4.5 The Support Vector Machine (SVM) -- 5 The Performance Evaluation and Results -- 5.1 The Accuracy -- 6 Conclusion and Future Work -- References
001435237 5058_ $$aBinary PSO-Based Feature Selection and Neural Network for Parkinson's Disease Prediction -- 1 Introduction -- 2 Methodology -- 2.1 Neural Networks -- 3 Results and Discussions -- 4 Conclusion -- References -- An Evolutionary-Based Additive Tree for Enhanced Disease Prediction -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results and Discussions -- 5 Conclusion -- References -- Novel Defense Framework for Cross-layer Attacks in Cognitive Radio Networks -- 1 Introduction -- 1.1 AI for Cognitive Radio Networks -- 2 Related Works -- 3 Attack Models -- 3.1 PHY Layer Attack Model
001435237 5058_ $$a3.2 Defense Scheme -- 3.3 MAC Layer Attack Model -- 3.4 Defense Scheme -- 3.5 Cross-Layer Attack -- 3.6 Cross-Layer Defense -- 4 Results -- 4.1 Simulation Setup -- 4.2 Results -- 5 Conclusion -- References -- Texture Based Image Retrieval Using GLCM and LBP -- 1 Introduction -- 2 Theoretical Background -- 2.1 Gray Level Co-occurrence Matrixes (GLCM) -- 2.2 Local Binary Patterns (LBP) -- 3 Experimental Results -- 3.1 Statistical Analysis -- 4 Conclusion -- Reference -- Design and Development of Bayesian Optimization Algorithms for Big Data Classification Based on MapReduce Framework
001435237 5058_ $$a1 Introduction -- 2 Correlative Naive Bayes Classifier (CNB) -- 3 Cuckoo Grey Wolf Optimization with Correlative Naïve Bayes Classifier (CGCNB) -- 4 Fuzzy Correlative Naive Bayes Classifier (FCNB) -- 5 Holoentropy Using Correlative Naïve Bayes Classifier for a Big Data Classification (HCNB) -- 6 Results and Discussion -- 6.1 Performance Evaluation -- 7 Conclusion -- References -- An IoT-Based BLYNK Server Application for Infant Monitoring Alert System to Detect Crying and Wetness of a Baby -- 1 Introduction -- 2 Related Work -- 3 The Proposed Architecture of Baby Monitoring System
001435237 5058_ $$a3.1 Baby Cry Detection Algorithm -- 3.2 Wetness Detection Algorithm -- 4 Experimental Results -- 4.1 Noise Detection by the System -- 4.2 Playing Songs -- 4.3 Wetness Detection -- 4.4 Turning on the Fan -- 5 Conclusions and Future Work -- References -- Analysis of DEAP Dataset for Emotion Recognition -- 1 Introduction -- 2 Related Work -- 2.1 Foundations -- 3 Procedure -- 4 Results -- 5 Conclusions and Discussions -- References -- A Machine Learning Approach for Air Pollution Analysis -- 1 Introduction -- 2 Related Work -- 3 Methodology
001435237 506__ $$aAccess limited to authorized users.
001435237 520__ $$aThis book is a collection of best selected research papers presented at International Conference on Intelligent and Smart Computing in Data Analytics (ISCDA 2020), held at K L University, Guntur, Andhra Pradesh, India. The primary focus is to address issues and developments in advanced computing, intelligent models and applications, smart technologies and applications. It includes topics such as artificial intelligence and machine learning, pattern recognition and analysis, computational intelligence, signal and image processing, bioinformatics, ubiquitous computing, genetic fuzzy systems, hybrid evolutionary algorithms, nature-inspired smart hybrid systems, Internet of things, industrial IoT, health informatics, humancomputer interaction and social network analysis. The book presents innovative work by leading academics, researchers and experts from industry.
001435237 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 6, 2021).
001435237 650_0 $$aArtificial intelligence$$vCongresses.
001435237 650_0 $$aComputer science$$vCongresses.
001435237 650_6 $$aIntelligence artificielle$$vCongrès.
001435237 650_6 $$aInformatique$$vCongrès.
001435237 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001435237 655_7 $$aConference papers and proceedings.$$2lcgft
001435237 655_7 $$aActes de congrès.$$2rvmgf
001435237 655_0 $$aElectronic books.
001435237 7001_ $$aBhattacharyya, Siddhartha,$$d1975-$$eeditor.
001435237 7001_ $$aNayak, Janmenjoy,$$eeditor.
001435237 7001_ $$aPrakash, Kolla Bhanu,$$eeditor.
001435237 7001_ $$aNaik, Bighnaraj,$$eeditor.
001435237 7001_ $$aAbraham, Ajith,$$d1968-$$eeditor.
001435237 77608 $$iPrint version:$$aBhattacharyya, Siddhartha.$$tInternational Conference on Intelligent and Smart Computing in Data Analytics.$$dSingapore : Springer Singapore Pte. Limited, ©2021$$z9789813361751
001435237 830_0 $$aAdvances in intelligent systems and computing ;$$v1312.
001435237 852__ $$bebk
001435237 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-33-6176-8$$zOnline Access$$91397441.1
001435237 909CO $$ooai:library.usi.edu:1435237$$pGLOBAL_SET
001435237 980__ $$aBIB
001435237 980__ $$aEBOOK
001435237 982__ $$aEbook
001435237 983__ $$aOnline
001435237 994__ $$a92$$bISE