Showing 121 - 140 results of 296 for search '(( code ((segmentation algorithm) OR (selection algorithm)) ) OR ( code encryption algorithm ))', query time: 0.49s Refine Results
  1. 121

    Training loss and accuracy curves of KAN-GLNet. by Jiajun Liu (692586)

    Published 2025
    “…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …”
  2. 122

    Hardware and software specifications. by Jiajun Liu (692586)

    Published 2025
    “…This study proposes a lightweight semantic segmentation model named KAN-GLNet (Kolmogorov–Arnold Network with Global–Local Feature Modulation), based on an enhanced PointNet++ architecture and integrated with an optimized Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, to achieve high-precision segmentation and automatic counting of canola siliques. …”
  3. 123

    Evolutionary analysis of the <i>Strumpellin</i> coding sequences by Maximum Likelihood method. by Yusr Saadi-Ben Aoun (20469385)

    Published 2024
    “…Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Tamura 3 parameter model, and then selecting the topology with superior log likelihood value. …”
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    Code for "Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset" by Yufeng Ke (16539882)

    Published 2025
    “…At the top of the code, there are options to set the parameters of the analysis, such as setting the path with the variable “Path”, selecting participants, paradigms and algorithms with the variables “subject”, “stimuli” and “algorithm”, and choosing data length with the variable “Timelength”. …”
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    SpeLL: An Agent for Natural Language-Driven Intelligent Spectral Modeling by Jiashun Fu (20888176)

    Published 2025
    “…The core strength of SpeLL lies in its dual RAG pathways. The Code RAG provides specialized code knowledge for spectral data analysis, enabling the LLM to generate robust and domain-specific analytical scripts that address the implementation and optimization of algorithms. …”
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    Figs 1–11. by Yufeng He (5673119)

    Published 2025
    Subjects:
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