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selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search), prediction algorithms (Expand Search)
code encryption » image encryption (Expand Search)
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search), prediction algorithms (Expand Search)
code encryption » image encryption (Expand Search)
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121
Training loss and accuracy curves of KAN-GLNet.
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. …”
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122
Hardware and software specifications.
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. …”
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123
Evolutionary analysis of the <i>Strumpellin</i> coding sequences by Maximum Likelihood method.
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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Correlations that cannot be explained by, but do not contradict, the false consensus effect.
Published 2025Subjects: -
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Correlation (Pearson r) of demographic and opinion variables with meta-opinion variables.
Published 2025Subjects: -
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Code for "Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset"
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
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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