Showing 261 - 280 results of 9,886 for search '(( alignment data algorithm ) OR ((( data encoding algorithm ) OR ( data using algorithm ))))', query time: 0.49s Refine Results
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    Performance analysis of 500kW solar PV plant based on machine learning algorithms by Karthikeyan Balachandran (20410999)

    Published 2024
    “…Kernel Ridge Regression (KRR) demonstrated superior performance among the algorithms tested, producing results closely aligned with the actual data. …”
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    Supplementary file 1_Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 hyperion hyperspectral imagery.docx by Veera Narayana Balabathina (22518524)

    Published 2025
    “…This study focuses on developing an efficient classification framework for species-level tree mapping in the Hauz Khas Urban Forest, New Delhi, India, using EO-1 Hyperion hyperspectral imagery.</p>Methods<p>Thirteen supervised classification algorithms were comparatively evaluated, encompassing traditional spectral/statistical classifiers—Maximum Likelihood, Mahalanobis Distance, Minimum Distance, Parallelepiped, Spectral Angle Mapper (SAM), Spectral Information Divergence (SID), and Binary Encoding—and machine learning algorithms including Decision Tree (DT), K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Random Forest (RF), and Artificial Neural Network (ANN). …”
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    Using LU-Net model to remove gaussian noise. by Hai Huang (140371)

    Published 2025
    “…This network captures the characteristics of input signals through an encoder, reconstructs denoised signals using a decoder, and utilizes LSTM layers and skip connections to preserve the temporal coherence and spatial details of the signals, thereby achi-eving the purpose of denoising. …”
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    Using LU-Net model to remove permutation noise. by Hai Huang (140371)

    Published 2025
    “…This network captures the characteristics of input signals through an encoder, reconstructs denoised signals using a decoder, and utilizes LSTM layers and skip connections to preserve the temporal coherence and spatial details of the signals, thereby achi-eving the purpose of denoising. …”
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    Training algorithm flow. by Xing Chen (140292)

    Published 2024
    “…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …”
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