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    <title>AETA 2022—Recent Advances in Electrical Engineering and Related Sciences: Theory and Application</title>
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    <namePart>Dong, Chau Si Thien.</namePart>
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    <namePart>Tran, Phuong T.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
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    <extent>XXXIX, 743 p. 474 illus., 389 illus. in color. online resource.</extent>
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  <abstract>This proceedings book features selected papers on 12 themes, including wireless communications, power systems, signal processing, robotics, control systems, sustainable energy, power electronics, intelligent networks and more. Covering topics such as performance of reconfigurable intelligent surfaces for 6G communication networks, improved neural network algorithms for optimizing the power flow of renewable energy sources, anomaly detection using stationary and non-stationary signal analysis in data sciences, novel object identification and distance estimation algorithms for self-driving vehicles, the book presents interesting ideas and state-of-the-art overviews.</abstract>
  <tableOfContents>Model Identification of Gas-Fired Industrial Furnace -- Lyapunov-based Controller for Bilinear Model Applied to Gas-fired Furnace -- Automatic Generation Control based Sliding Mode Observer Design for Multi-Area Multi-Source Power Systems -- The PID Speed Controller implementation Using Online-GA for Permanent Magnet Synchronous Motor Drive -- Research, Design and Control a New Fresh Orange Juice Vending Machine -- Integration of Image-Based Object Identification and Distance Estimation Algorithm for Field Operational Test System of Self-Driving Vehicles -- Robot Gesture Control Using Online Feedback Data with Multi-Tracking Capture System -- Adaptive Sliding Mode Control for Parallel Manipulator Hexapod -- A Study of Optimal Control for Under-actuated Parallel type – Triple Furuta Pendulum -- Passage Detection of a Train via a Reference Point -- User Grouping and Relay Selection for Improving Outage Performanceof Downlink Wireless Systems -- Priority-based uplink raw slot utilization in the IEEE 802.11ah networks -- A Perfect Knife - bulk decompilation and preprocessing tool.</tableOfContents>
  <note type="statement of responsibility">edited by Tran Trong Dao, Vo Hoang Duy, Ivan Zelinka, Chau Si Thien Dong, Phuong T. Tran.</note>
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    <topic>Computational intelligence</topic>
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      <title>Lecture Notes in Electrical Engineering, 1081</title>
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  <identifier type="isbn">9789819987030</identifier>
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