Equalization methods for Filter Bank Multicarrier OQAM by Oras Faiz Kadhem, Thamer M Jamel, Hasan F Khazaal

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A New Method of Litter Equalization in Rabbit by Tamás Atkári, Zsolt Gerencsér, István Nagy, Zsolt Szendrő

“…While the body weights of the S10, M10C, and L10 subgroups in the Control group increased at 84 days (2876 g, 2872 g, and 3047 g, respectively), there was no significant difference in the body weights of the three subgroups (S9, M10E, and L11) in the Experimental group. The new litter-equalization method was therefore suitable for reducing mortality and achieving a more-equal slaughter weight. …”
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Battery Equalization Control Based on the Shunt Transistor Method by Gallardo-Lozano Javier, Romero-Cadaval Enrique, Milanés-Montero María Isabel, Guerrero-Martinez Miguel A.

“…A novel equalization method is presented, that improves the aforementioned methods performance by applying a new control to a shunt transistor method. …”
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A modular equalization method for series-connected battery packs based on inductors by Xiangwei Guo, Gang Chen, Liangjun Zhao, Wei Qian, Peixin Liu, Jinqing Linghu

“…Again, the equalization performance of the proposed equalization method is analyzed, which shows that the proposed method has the advantages of fast equalization speed, low topological cost and simple control. …”
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A Survey of Visual SLAM Methods by Ali Rida Sahili, Saifeldin Hassan, Saber Muawiyah Sakhrieh, Jinane Mounsef, Noel Maalouf, Bilal Arain, Tarek Taha

“…While these methods are traditionally confined to static environments, there has been a growing interest in developing V-SLAM to handle dynamic and realistic scenes. …”
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Some New Algebraic Method Developments in the Characterization of Matrix Equalities by Yongge Tian

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Computing the Projection on the Intersection of Linear Equality and Cardinality Constraints by Xiao-Jing Wang, Zhen-Sheng Yu

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Novel blind identification and equalization new method based on particle filter by WANG Lei, LIU Yu-lin

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Novel blind identification and equalization new method based on particle filter by WANG Lei, LIU Yu-lin

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VISUALIZATION OF THE SURFACE BY DIFFERENTIAL INTERFERENCE CONTRAST METHOD by A. G. Anisovich, I. N. Rumyatseva

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THE SPEKL-VIsUALIZATion METHOD IN THE MICROCIRCULATION RESEARCH by S. N. Tabunov, T. V. Hardzeichuk, M. H. Tkhostov, P. N. Nikitenko, K. N. Runkevich, I. V. Kishkevich, E. S. Kashitskii

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An Improved Nonmonotone Filter Trust Region Method for Equality Constrained Optimization by Zhong Jin

“…Motivated by the method of Su and Pu (2009), we present an improved nonmonotone filter trust region algorithm for solving nonlinear equality constrained optimization. …”
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VISUAL RESEARCH METHODS IN CONTEMPORARY HUMANITARIAN KNOWLEDGE by A. I. Lojko, E. B. Yakimovich

“…The paper considers usage of visual methods in the field of anthropology, social philosophy and semiotics for investigating problems of identity, social habits and media cultural forms on the basis of  photographic practices.…”
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Quali-quanti visual methods and political bots by Janna Joceli Omena, Thais Lobo, Giulia Tucci, Elias Bitencourt, Emillie de Keulenaar, Francisco W. Kerche, Jason Chao, Marius Liedtke, Mengying Li, Maria Luiza Paschoal, Ilya Lavrov

Subjects: “…Digital methods…”
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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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Visualization Methods for DNA Sequences: A Review and Prospects by Tan Li, Mengshan Li, Yan Wu, Yelin Li

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A New Noninterior Continuation Method for Solving a System of Equalities and Inequalities by Jianguang Zhu, Binbin Hao

“…A new noninterior continuation method is proposed to solve the system of smooth equations. …”
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Regularization Method for the Approximate Split Equality Problem in Infinite-Dimensional Hilbert Spaces by Rudong Chen, Junlei Li, Yijie Ren

“…We studied the approximate split equality problem (ASEP) in the framework of infinite-dimensional Hilbert spaces. …”
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A Novel Method for Constructing VLC Equalizer With Active-Passive Hybrid Network by Chengyu Min, Xiongbin Chen, Xurui Mao, Xuanjie Li, Tianhao Pan, Qigong Sun, Hongda Chen

“…In this article, a novel method for constructing a pre-equalizer by optimized filter synthesis with vector fitting is proposed to broaden the bandwidth of a visible light communication (VLC) system. …”
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