Abstract visual reasoning based on algebraic methods by Mingyang Zheng, Weibing Wan, Zhijun Fang

“…Traditional neuro-symbolic methods often infer unknown objects through data fitting, without fully exploring the abstract patterns within composite images and the sequential sensitivity of visual sequences. …”
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Visual explanation method for reversible neural networks by Xinying MU, Bingbing SONG, Fanxiao LI, Yisen ZHENG, Wei ZHOU, Yunyun DONG

“…The issue of model explainability has gained significant attention in understanding the vulnerabilities and anonymous decision-making processes inherent in deep neural networks (DNN).While there has been considerable research on explainability for traditional DNN, there is a lack of exploration on the operation mechanism and explainability of reversible neural networks (RevNN).Additionally, the existing explanation methods for traditional DNN are not suitable for RevNN and suffer from issues such as excessive noise and gradient saturation.To address these limitations, a visual explanation method called visual explanation method for reversible neural network (VERN) was proposed for RevNN.VERN leverages the reversible property of RevNN and is based on the class-activation mapping mechanism.The correspondence between the feature map and the input image was explored by VERN, allowing for the mapping of classification weights of regional feature maps to the corresponding regions of the input image.The importance of each region for model decision-making was revealed through this process, which generates a basis for model decision-making.Experimental comparisons with other explanation methods on generalized datasets demonstrate that VERN achieves a more focused visual effect, surpassing suboptimal methods with up to 7.80% improvement in average drop (AD) metrics and up to 6.05% improvement in average increase (AI) metrics in recognition tasks.VERN also exhibits an 82.00% level of localization for the maximum point of the heat value.Furthermore, VERN can be applied to explain traditional DNN and exhibits good scalability, improving the performance of other methods in explaining RevNN.Furthermore, through adversarial attack analysis experiments, it is observed that adversarial attacks alter the decision basis of the model.This is reflected in the misalignment of the model’s attention regions, thereby aiding in the exploration of the operation mechanism of adversarial attacks.…”
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Iterative rake equalization method for low-complexity OTSM in high-speed mobile environment by Guojun LI, Kun LONG, Changrong YE, Jiawen LIANG

“…Aiming at the problems of poor anti-noise performance and high computational complexity of the existing orthogonal time sequency multiplexing (OTSM) equalization methods, a low-complexity iterative rake equalizer based on maximum ratio combining (MRC) was proposed.The main idea was to use MRC to iteratively extract and coherently combine the received multipath components of the transmitted symbols in the delay-time domain to improve the signal-to-noise ratio of the combined signal.In order to speed up the convergence of the MRC iterative algorithm, a single-tap time-frequency equalizer was designed to provide an initial estimate, and then combined with an external error correction code to further improve the bit error performance.The simulation results show that the performance of the iterative rake equalizer based on MRC is significantly better than that of the LMMSE linear equalizer, and the performance and computational complexity are greatly improved compared with the currently widely used Gauss-Seidel (GS) iterative equalizer.…”
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Phase Current Equalization Method of IPMSM-Based on-Board Boost Converter for Electric Vehicles by Yunkyung Hwang, Jaehong Kim, Minhyeok Lee, Juwon Choi, Kwanghee Nam

“…This study also addresses phase current equalization to avoid torque generation. To this end, a compensation method is proposed to obtain an accurate average current in the double-sampling method, which samples the top and valley. …”
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Contrast Limited Adaptive Local Histogram Equalization Method for Poor Contrast Image Enhancement by Ibrahim Majid Mohammed, Nor Ashidi Mat Isa

“…Contrast limited adaptive histogram equalization (CLAHE) is a widely utilised method for image enhancement due to its speed and simplicity. …”
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Visualization Methods for DNA Sequences: A Review and Prospects by Tan Li, Mengshan Li, Yan Wu, Yelin Li

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The assessment of visually impaired persons working capacities using electrophysiological and ophthalmic ergonomics methods by M. I. Razumovsky, O. E. Kolyuka, A. M. Razumovskaya

Subjects: “…visually impaired persons…”
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Research on the Equal Probability Grouping Method for Automatic Fitting of Deep Groove Ball Bearings by Peiqi Yang, Haoyi Wang, Xuejun Li, Linli Jiang

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Linear elastic iterative method for stability ultimate capacity of equal-leg angle towers by JingJing Han, Wei Zhang, LuFeng Yang

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Research on error control method for polynomial approximation based on equal amplitude oscillation theorem by Letong Zhou, Liguo Zhao

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A Hybrid-A* Path Planning Method Based on Equal Step Hierarchical Expansion by CHEN Xinpeng, XU Biao, HU Manjiang, QIN Zhaobo, BIAN Yougang

“…Aiming at the problem of low search efficiency and poor search path smoothness of traditional hybrid-A* algorithms, this paper proposes a hybrid-A* path planning method based on equal step hierarchical expansion. …”
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Electric feels: The role of visual methods in energy ‘futuring’ by Joe Bourne, Jordan Collver, Mary Flora Hart, Ola Michalec, Aude Nasr, Lizzie Ormian

“…In this paper, we tell our story of this unique art‐research collaboration, share our illustrations and reflect on the power of visual methods to galvanise a new type of public conversation related to emotions, energy and digital innovation. …”
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Visual Place Recognition Method Based on Attention Mechanism by DAI Tian-hong, YANG Xiao-yun, SONG Jie-qi

“…Aiming at the problem of poor accuracy and robustness of the existing visual place recognition methods when the image appearance changes and the viewing angle changes, a visual place recognition method combined with the attention mechanism is proposed. …”
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STag marking visual guidance method for USV docking by Yongxin XIAO, Xianbo XIANG, Dian KONG, Lichun YANG, Shaolong YANG

“…ObjectiveAiming at the problem of accurate real-time pose acquisition in the autonomous recovery of an unmanned surface vehicle (USV), a STag marking visual guidance method for unmanned vehicle docking and recovery is proposed.Methods Due to the stable attitude characteristics of STag markers, they are selected as the fiducial markers in the visual guidance of this work. …”
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Anomaly-Focused Augmentation Method for Industrial Visual Inspection by Melvin A. MELVINLARA, Ibrahim A. Hameed, Jiri Koziorek

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A Visual Measurement Method for Large-Sized Parts by Junkai Yang

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Creating Space for Visual Ethnography in Educational Research by Lena Barrantes-Elizondo

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Enclosures of Wind: Practice-Led Methods for Visualization of Elemental Media by Abelardo Gil-Fournier, Jussi Parikka

“…The text builds an argument concerning wind, air currents, and cultural techniques of visualization and circulation through a live curatorial and artistic example of Abelardo Gil-Fournier's exhibition *The Raft: Three Acts for an Exposure to the Elements* at the Fundación Cerezales Antonino y Cinia (FCAYC) in León, Spain, in 2023--24. …”
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Analytical Review of Data Visualization Methods in Application to Big Data by Evgeniy Yur’evich Gorodov, Vasiliy Vasil’evich Gubarev

“…Summarizing the result, we have provided a classification of visualization methods in application to Big Data.…”
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Intravascular visualization methods in estimating vasculopathy of a transplanted heart by S. A. Sakhovsky, N. N. Koloskova, A. Yu. Goncharova, B. L. Mironkov

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