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Semantic Tokenization-Based Mamba for Hyperspectral Image Classification
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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Peculiarities of the classification of raw-smoked sausages during forensic commodity examination
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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Minute-cadence Observations of the LAMOST Fields with the TMTS. VI. Physical Parameters of Contact Binaries
Published 2025-01-01“…In J0132, both components are in the main sequence, whereas both components of J0913 lie above the terminal-age main sequence. …”
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Orbital cycle records in shallow unconsolidated sediments: implications for global carbon cycle and hydrate system evolution in deep-sea area sediments of the Qiongdongnan Basin
Published 2025-01-01“…An obliquity modulation period of approximately 170 kyr was identified in the TOC data, which may reflect the combined effects of obliquity and other orbital parameters.DiscussionSpectral analysis of paleoenvironmental indicators showed that long eccentricity cycle had varying degrees of influence on changes in paleoclimate, paleosalinity, and paleoredox conditions. …”
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Geometric Regularized Hopfield Neural Network for Medical Image Enhancement
Published 2021-01-01“…These are achieved by regularizing proposed MHNNs under cohomology, which enables them to act as an unconventional filter for pixel spectral sequences. It shifts the focus to both local and global optimizations in order to strengthen feature correlations within each image subspace. …”
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Attention-Based Multi-Learning Approach for Speech Emotion Recognition With Dilated Convolution
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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