Artificial intelligence and evolutio...
Chandramohan, S.

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  • Artificial intelligence and evolutionary computations in engineering systems = computational algorithm for AI technology, proceedings of ICAIECES 2020 /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Artificial intelligence and evolutionary computations in engineering systems/ edited by S. Chandramohan ... [et al.].
    Reminder of title: computational algorithm for AI technology, proceedings of ICAIECES 2020 /
    remainder title: ICAIECES 2020
    other author: Chandramohan, S.
    corporate name: International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems
    Published: Singapore :Springer Singapore : : 2022.,
    Description: xii, 402 p. :ill., digital ;24 cm.
    [NT 15003449]: Chapter 1. Design and Construction of a Dual Axis Solar Tracking System by Astronomical Algorithm -- Chapter 2. Estimation of Magnetic Flux linkage in SRM using various defuzzification techniques -- Chapter 3. Multilevel Inverter based STATCOM for Distribution System -- Chapter 4. Sensitivity Analysis and Design Optimization of Synchronous Reluctance and Permanent Magnet Motors -- Chapter 5. A New Heuristic algorithm for Economic Load Dispatch incorporating wind power -- Chapter 6. Enhanced Grasshopper Optimization Algorithm For Numerical Optimization -- Chapter 7. Eco-Routing - To Reduce Vehicle CO2 Emissions by CACC: An IoT Application -- Chapter 8. Fuzzy Sliding Mode Control of DC-DC Boost Converter with Right-Half Plane Zero -- Chapter 9. Liquid Level Control of Non Linear Process Using Big Bang - Big Crunch Optimization Based Controller -- Chapter 10. Impact of PV Cells and MPPT Controller on Power System Dynamics -- Chapter 11. Wavelet Feature Based Microcalcification Detection in Mammogram -- Chapter 12. Reliable Radiation Hardened Memory Cells for Single-Event Multiple Effects -- Chapter 13. Finger Vein Identification Using Deep Convolutional Generative Adversarial Networks -- Chapter 14. Computer Aided Detection of Malignant Mass in Mammogram using U-Net Architecture -- Chapter 15. Visualization and Evaluation of Methane Gas Leakage by Thermal Image Processing using Supervised Deep Learning Models.
    Contained By: Springer Nature eBook
    Subject: Artificial intelligence - Congresses. -
    Online resource: https://doi.org/10.1007/978-981-16-2674-6
    ISBN: 9789811626746
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W9438079 電子資源 11.線上閱覽_V 電子書 EB TA347.A78 I58 2020 一般使用(Normal) On shelf 0
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