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024 7 _a10.1007/978-981-15-5243-4
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072 7 _aTBJ
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072 7 _aTEC009000
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082 0 4 _a620
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245 1 0 _aAdvances in Machine Learning and Computational Intelligence
_h[electronic resource] :
_bProceedings of ICMLCI 2019 /
_cedited by Srikanta Patnaik, Xin-She Yang, Ishwar K. Sethi.
250 _a1st ed. 2021.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2021.
300 _aXVIII, 878 p. 416 illus., 289 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aAlgorithms for Intelligent Systems,
_x2524-7573
505 0 _aPart 1: Modeling & Optimization -- Chapter 1. Intrusion Detection using a Hybrid Sequential Model -- Chapter 2. Simulation and Analysis of the PV Arrays Connected to Buck-Boost converters using MPPT Technique by Implementing Incremental Conductance Algorithm and Integral Controller -- Chapter 3. A New Congestion Control Algorithm for SCTP -- Chapter 4. RGNet: The Novel Framework to Model Linked Research Gate Information into Network using Hierarchical Data Rendering -- Chapter 5. A New Approach for Momentum Particle Swarm Optimization -- Chapter 6. Neural Networks Modeling Based On Recent Global Optimization Techniques -- Part 2: Part 2 - Machine Learning Techniques -- Chapter 7. Network Intrusion Detection Model Using One Class Support Vector Machine -- Chapter 8. Query Performance Analysis Tool for Distributed Systems -- Chapter 9. A Robust Multiple Moving Vehicle Tracking for Intelligent Transportation System -- Chapter 10. Bug Priority Assessment in Cross Project context using Entropy based Measure -- Chapter 11. Internet of Things Security using Machine Learning -- Chapter 12. Churn Prediction and Retention in Banking, Telecom and IT Sector using Machine Learning Techniques. .
520 _aThis book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), jointly organized by Kunming University of Science and Technology and the Interscience Research Network, Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning, the topics covered include: prediction; data mining; information retrieval; game playing; robotics; learning methods; pattern visualization; automated knowledge acquisition; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and applications of soft computing in various areas. .
650 0 _aEngineering mathematics.
_93254
650 0 _aEngineering—Data processing.
_931556
650 0 _aArtificial intelligence.
_93407
650 1 4 _aMathematical and Computational Engineering Applications.
_931559
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aPatnaik, Srikanta.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
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700 1 _aYang, Xin-She.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
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700 1 _aSethi, Ishwar K.
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9789811552441
830 0 _aAlgorithms for Intelligent Systems,
_x2524-7573
_945292
856 4 0 _uhttps://doi.org/10.1007/978-981-15-5243-4
912 _aZDB-2-ENG
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