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  1. 141

    Efficient compression of encoder-decoder models for semantic segmentation using the separation index by Movahed Jamshidi, Ahmad Kalhor, Abdol-Hossein Vahabie

    Published 2025-07-01
    “…Abstract We present a novel approach to compressing encoder–decoder architectures, particularly in semantic segmentation tasks, by leveraging the Separation Index (SI)—a metric that quantifies how distinctly a network’s feature maps separate different classes at the pixel level. …”
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  2. 142

    Compression behaviour of cold-rolled steel sections with web openings: a review by Kaminee Rathore, Ram Krishna Rathore, Mohan Kumar Gupta, S. K. Jaiswal

    Published 2025-06-01
    “…This paper aims to offer a valuable and comprehensive summary of existing literature pertaining to cold-formed steel angle (CFSA) compression members featuring web perforations. It delves into both experimental investigations and numerical analysis on cold-formed (CF) sections with web holes exposed to compression, bending, web crippling, and shear, with a focus on the substantial advancements made in the past 10 years. …”
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  3. 143

    Real-Time Optical Spectrum Fourier Transform With Time–Bandwidth Product Compression by Hao Sun, Xinyi Zhu, Wei Li, Ninghua Zhu, Ming Li

    Published 2018-01-01
    “…By specially designing the chirp rate variation of the temporal waveform, an anamorphic Fourier transformation functionality is realized to compress the TBP of output waveform. The key feature of this paper is that it is the first time to our knowledge to carry out the Fourier transformation of an optical spectrum with TBP compression. …”
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  4. 144

    THE LEXICON OF CONTEMPORARY WAR TIME: COMPRESSIVE PROFESSIONAL SLANG UNITS IN THE UKRAINIAN LANGUAGE by Oleksandr S. Ivko, Natalia V. Diachok

    Published 2024-12-01
    “…Within the range of Ukrainian military lexicon under analysis, we single out nouns (formed by means of abbreviation, univerbation, and simulation of univerbation) as well as verbs and their verb forms (which often result from univerbation). The emergence of compressive nominations in question follows the general tendency of lexical nomination towards modifying analytical or complex synthetic units into shorter speech segments, being a universal feature of the current state of the Indo-European languages as a whole.…”
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  5. 145
  6. 146

    Efficient and Fast Light Field Compression via VAE-Based Spatial and Angular Disentanglement by Soheib Takhtardeshir, Roger Olsson, Christine Guillemot, Marten Sjostrom

    Published 2025-01-01
    “…We propose a Variational Autoencoder (VAE)-based framework to disentangle the spatial and angular features of light field images, focusing on fast and efficient compression. …”
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  7. 147

    Point cloud geometry compression based on the combination of interlayer residual and IRN concatenated residual by Meng Huang, Qian Xu, Wenxuan Xu

    Published 2025-08-01
    “…At the same time, it can extract the global and detailed features within point cloud data. Besides, Attention Module is dedicated to enhance the focus on salient features. …”
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  8. 148

    Data-driven axial compressive strength investigation of FRP-confined coral aggregate concrete by Chang Zhou, Kai-Di Peng, Yu-Lei Bai

    Published 2025-12-01
    “…The SHapley Additive exPlanation (SHAP) algorithm is employed to elucidate the prediction mechanisms of the ML models and to clarify the interactions between the eight input features and the axial compressive strength of FRP-confined CAC. …”
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  9. 149

    Probabilistic Principal Component Analysis and Channel Attention for End-to-End Image Compression Optimization by Andri Agustav Wirabudi, Sung-Chang Lim, Woong Lim, Jeongil Seo, Haechul Choi

    Published 2025-01-01
    “…PPCA is used to focus on essential features and manage noise. Unlike traditional PCA, PPCA’s probabilistic approach better preserves meaningful data structure, enhancing compression and robustness. …”
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  10. 150

    Uniaxial Compression Response and Instability Mechanisms of Parallel Dual Coal Pillar–Roof Combinations by Jingkai Li, Chunge Li, Shengjian Zhao, Changde Yang, Kun Niu, Quancai Ji, Zhiqiang Wang

    Published 2025-01-01
    “…From both macroscopic and microscopic perspectives, the load-bearing capacities, acoustic emission (AE) features, crack development processes, force chain evolution laws, and deformation features of the PDCRC were recorded. …”
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  11. 151

    Spatial Compression in Memory: How Repeated Walks on Familiar Routes Shorten Perceived Distance by Kyung Wook Seo, Hyung-Sook Lee, Joo Young Kim

    Published 2025-03-01
    “…Before reaching it, the distance grows along with the knowledge on a route but beyond the point of knowledge saturation, it begins to compress.…”
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  12. 152

    ScBlkCom: An Integrated Compression Algorithm for Single-Cell RNA Sequencing Data by Zhang Yuanxin, Lu Yang, Sun Xiao, Fan Jue

    Published 2025-01-01
    “…Single-cell RNA-seq (scRNA-seq) data exhibits unique structural features, including extensive labeled sequence identifiers, which conventional compression tools fail to optimize. …”
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  13. 153

    Improved Hadamard Decomposition and Its Application in Data Compression in New-Type Power Systems by Zhi Ding, Tianyao Ji, Mengshi Li

    Published 2025-02-01
    “…The experimental results with simulated and field data demonstrate that the proposed scheme significantly reduces data volume while maintaining critical features in the restored data. In addition, compared with other existing compression methods, this scheme exhibits remarkable advantages in compression efficiency and reconstruction accuracy, particularly in capturing transient characteristics critical for power quality analysis.…”
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  14. 154

    Construction of Flexible Deterministic Sparse Measurement Matrix in Compressed Sensing Using Legendre Sequences by Haiqiang Liu, Ming Li, Caiping Hu

    Published 2024-11-01
    “…Compressed sensing (CS) is an innovative signal acquisition and reconstruction technology that has broken through the limit of the Nyquist sampling theory. …”
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  15. 155

    Dynamic Compression Properties and Deterioration of Red-Sandstone Subject to Cyclic Wet-Dry Treatment by Bin Du, Haibo Bai, Guangming Wu

    Published 2019-01-01
    “…Changes in physical and mechanical parameters, including P-wave velocity, density, and static and dynamic compression strength, were determined. Deterioration of red-sandstone caused by wet-dry cycles was verified through physicomechanical parameters, and the microscopic features were scanned by SEM techniques. …”
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  16. 156

    Deep Learning Image Compression Method Based On Efficient Channel-Time Attention Module by Xiu Ji, Xiao Yang, Zheyu Yue, Hongliu Yang, Boyang Zheng

    Published 2025-05-01
    “…The ETAM module integrates Efficient Channel Attention (ECA-Net) and a Temporal Attention Module (TAM) to jointly enhance the extraction of spatial and temporal features, thereby improving compression efficiency and reconstruction quality.Experimental results demonstrate that the proposed method consistently outperforms both traditional and state-of-the-art deep learning–based compression techniques across multiple evaluation metrics, including PSNR, SSIM, and LPIPS. …”
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  17. 157

    A lightweight intelligent compression method for fast Sea Level Anomaly data transmission. by Xiaodong Ma, Xiang Wan, Lei Zhang, Dong Wang, Zeyuan Dai

    Published 2025-01-01
    “…Traditional compression methods struggle to preserve critical mesoscale ocean features like vortices during bandwidth-constrained marine data transmission. …”
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  18. 158

    A Multi-Mode Recognition Method for Broadband Oscillation Based on Compressed Sensing and EEMD by Jinggeng Gao, Honglei Xu, Yong Yang, Haoming Niu, Jinping Liang, Haiying Dong

    Published 2024-12-01
    “…Firstly, the broadband oscillation signal data collected by the phasor measuring unit (PMU) is compressed and sampled by a Gaussian random matrix in the substation, then the low-dimensional data obtained is uploaded to the main station. …”
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  19. 159

    SwinTCS: A Swin Transformer Approach to Compressive Sensing with Non-Local Denoising by Xiuying Li, Haoze Li, Hongwei Liao, Zhufeng Suo, Xuesong Chen, Jiameng Han

    Published 2025-04-01
    “…Moreover, to better capture local features of images, we introduce an auxiliary convolutional neural network (CNN). …”
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  20. 160

    Study on dynamic compression characteristics of coal containing gas under different strain rates by Xin Gao, Sheng Xue, Tu Qingyi

    Published 2025-01-01
    “…Abstract To investigate the dynamic compression properties and crushing features of gas-containing coal under complex geological environments, a dynamic and static combined loading test system was independently developed for conducting triaxial dynamic compression tests. …”
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