Advances in Machine Learning and Computational Intelligence : Proceedings of ICMLCI 2019 / / edited by Srikanta Patnaik, Xin-She Yang, Ishwar K. Sethi

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (XVIII, 878 p. 416 illus., 289 illus. in color.)
• Disciplina: 006.31
• Soggetto topico: Engineering mathematics; Engineering - Data processing; Artificial intelligence; Mathematical and Computational Engineering Applications; Artificial Intelligence
• Persona (resp. second.): PatnaikSrikanta; YangXin-She; SethiIshwar K
• Nota di contenuto: Part 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. .
• Sommario/riassunto: This 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. .
• Titolo autorizzato: Advances in Machine Learning and Computational Intelligence
• ISBN: 981-15-5243-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910483077103321
• Lo trovi qui: Univ. Federico II
• Serie: Algorithms for Intelligent Systems, . 2524-7573