Proceedings of the 13th National Tec...
National Technical Seminar on Unmanned System Technology (2023))

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  • Proceedings of the 13th National Technical Seminar on Unmanned System Technology 2023. = NUSYS'23 /. Volume 1
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Proceedings of the 13th National Technical Seminar on Unmanned System Technology 2023./ edited by Zainah Md. Zain ... [et al.].
    其他題名: NUSYS'23 /
    其他題名: NUSYS'23
    其他作者: Zain, Zainah Md.
    團體作者: National Technical Seminar on Unmanned System Technology
    出版者: Singapore :Springer Nature Singapore : : 2024.,
    面頁冊數: viii, 246 p. :ill. (chiefly color), digital ;24 cm.
    內容註: Variant Histogram Equalization based Enhancement to Deep Transfer Learning for Automatic Detection of Photovoltaic Cell Defects in Electroluminescence Images -- Soft Robotic Conveyor Belt -- Auto-tuning of Frequency Sampling Filter Algorithm using Step Response Data Analysis -- Optimal Load Sharing Strategy in a Hybrid Power System Based on PV/Fuel Cell/ Battery -- Real-Time Vision-Based Halal Logo Verification System -- Genetic Algorithm for Mobile Robot Global Path Planning Application -- Empowering Rural Education: A Comprehensive Study on the Implementation and Cost Analysis of Standalone Photovoltaic Systems in Sarawak Schools -- Industrial Fans Health Analytics with Deep Learning -- Comparative Analysis of Wavelet and MFCC Features, and Machine Learning Techniques for the Robust Classification of Seismic Signals -- Cuckoo Search Algorithms for Maximum Power Point Intelligent Tracking of PV Array Under Partial Shading Conditions -- Automatic Plant Water Stress Phenotyping For Genotype Classification Using Lightweight CNN -- Deep or Shallow Networks: Coral Types Classification using Residual Network Models -- Strawberry Ripeness Classification Using Fuzzy Logic Approach -- Analysis Voltage and Frequency Control of Microgrid Systems with Load Demand Response -- A Novel Deep Learning Approach for MRI Segmentation of Brain Tumors -- Waterfall Alarm System for Headwater Phenomena -- Classification of Mango Species and Ripeness Using Feature Extraction with An Artificial Neural Network.
    Contained By: Springer Nature eBook
    標題: Vehicles, Remotely piloted - Congresses. -
    電子資源: https://doi.org/10.1007/978-981-97-2007-1
    ISBN: 9789819720071
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