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  1. 1

    Semantic Tokenization-Based Mamba for Hyperspectral Image Classification by Ri Ming, Na Chen, Jiangtao Peng, Weiwei Sun, Zhijing Ye

    Published 2025-01-01
    “…However, these Mamba-based methods mainly focus on spectral and spatial dimensions. They tend to extract semantic information in very long feature sequences or represent semantic information in several typical tokens, which may ignore some important semantics of the HSIs. …”
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  2. 2

    Peculiarities of the classification of raw-smoked sausages during forensic commodity examination by Ye. М. Sobakar, Ya. О. Kulyk

    Published 2024-03-01
    “…Prospective instrumental methods of examination of raw smoked sausages are defined, in particular spectral analysis, chromatographic methods, mass spectrometry, microscopy, thermal analysis; the main microbiological procedures that can be used during the examination of raw-smoked sausages are described; characteristic defects of raw-smoked sausages are summarized, including those that indicate its low quality or may be a sign of spoilage; describes the general sequence of actions that occur during the examination of this product.…”
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    Attention-Based Multi-Learning Approach for Speech Emotion Recognition With Dilated Convolution by Samuel, Kakuba, Alwin, Poulose

    Published 2023
    “…In addition, they do not consider spatial cues that may exist in the speech signal. Therefore, we propose an attention-based multi-learning model (ABMD) that uses residual dilated causal convolution (RDCC) blocks and dilated convolution (DC) layers with multi-head attention. …”
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