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 /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Artificial intelligence and evolutionary computations in engineering systems/ edited by S. Chandramohan ... [et al.].
    其他題名: computational algorithm for AI technology, proceedings of ICAIECES 2020 /
    其他題名: ICAIECES 2020
    其他作者: Chandramohan, S.
    團體作者: International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems
    出版者: Singapore :Springer Singapore : : 2022.,
    面頁冊數: xii, 402 p. :ill., digital ;24 cm.
    內容註: 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
    標題: Artificial intelligence - Congresses. -
    電子資源: https://doi.org/10.1007/978-981-16-2674-6
    ISBN: 9789811626746
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