The LED-ID Detection and Recognition Method Based on Visible Light Positioning Using Proximity Method by Canyu Xie, Weipeng Guan, Yuxiang Wu, Liangtao Fang, Ye Cai

“…Different from the traditional LED-ID coding and decoding method, we create different features for different LED-ID, and use a machine learning method to identify the LED-ID once the feature extraction and selection of the LED image is achieved with an image processing method. …”
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On the academic ideology of “Sorting the gangue is sorting the images” by Hongwei MA, Ye ZHANG, Peng WANG, Xiangang CAO, Zhen NIE, Xiaorong WEI, Wenjian ZHOU, Mingzhen ZHANG

“…Aiming at the problem of image-based coal gangue recognition, a recognition principle and metsorting rates visual images and X-ray images is proposed, which can effectively improve the accuracy of coal gangue recognition; Aiming at the problem of feature extraction in coal gangue image sorting, a plane and depth feature extraction and fusion algorithm based on coal gangue images is proposed. …”
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Mean-variance investment and risk control strategies for a dynamic contagion process with diffusion by Xiuxian Chen, Zhongyang Sun, Dan Zhu

“…The market's risky assets were depicted via a jump-diffusion model, featuring jumps due to a multivariate dynamic contagion process with diffusion (DCPD). …”
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Multi-parameter optimization of layered WS2-polymer nanocomposite under mechanical loading by Elisaveta Kirilova, Tatyana Petrova, Boyan Boaydjiev, Rayka Vladova, Apostol Apostolov, Petia Dineva-Vladikova, Alexander Moravski

“…To achieve this aim, a multi-parameter optimization problem (MOP) is formulated. It includes a two-dimensional stress function model that describes stress transfer in the considered three-layer structure. …”
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METHODOLOGY OF INTRODUCTION OFCAPITAL GAIN TAX IN CHAPTER 23 OFTHE RUSSIAN TAX CODE by Vladimir V. Gromov

“…In this regard the article contains the analysis of features of introduction of capital gain tax in this chapter of the code, reflects the shortcomings inherent in methodology of its fixing in it, and offers on elimination of the revealed problems.…”
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Designing Recolorization Algorithms to Help People with Color Vision Anomalies by V. V. Sinitsyna, A. M. Prudnik

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Optimization of dimension of weldment locus by method of geometric programming by Dragan Stević, Vladan Mićić

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Class-Discrepancy Dynamic Weighting for Cross-Domain Few-Shot Hyperspectral Image Classification by Chen Ding, Jiahao Yue, Sirui Zheng, Yizhuo Dong, Wenqiang Hua, Xueling Chen, Yu Xie, Song Yan, Wei Wei, Lei Zhang

“…It employs discrepancy-sensitive weighting to strengthen the alignment of critical categories, enabling accurate domain adaptation while maintaining feature topology; (2) the class mean refinement (CMR) method incorporates class covariance distance to compute distribution discrepancies between support set samples and class prototypes, enabling the precise capture of cross-domain feature internal structures; (3) a novel multi-dimensional feature extractor that captures both local spatial details and continuous spectral characteristics simultaneously, facilitating deep cross-dimensional feature fusion. …”
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Adaptability analysis and performance improvement method of ac protection in inverter-interfaced system with series compensation device by Peng Chang, Guobing Song, Fuzhi Xiong, Junjie Hou

“…On this context, to solve the problem, the authors deeply analyze the adaptability of AC protection in the compensated inverter-interfaced system first. …”
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Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle by Tulin Li, Xiufeng Zhang, Yingbo Huang, Chunxi Yang

“…This method employs a multi-feature input CNN with residual learning blocks, which takes both the current local environmental images and heading angle features as inputs to identify the complexity of the local environment with higher accuracy and a smaller load size. …”
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Central Pixel-Based Dual-Branch Network for Hyperspectral Image Classification by Dandan Ma, Shijie Xu, Zhiyu Jiang, Yuan Yuan

“…Additionally, the spatial branch based on ViT incorporates a novel frequency-aware HiLo attention, which can effectively separate high and low frequencies, alleviating the problem of local spectral variability and enhancing the ability to extract global features. …”
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Development of a multidimensional data model for efficient content-based image retrieval in big data storage by Stanislav Danylenko, Serhii Smelyakov

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Understanding the ancient classic and famous prescriptions via the property of Chinese materia medica by Dan Qin, Dan Qin, He Zhang, Bin Du, Hui Wang, Ligang Liu, Yun Wang

“…We formulated the backward process as a constrained combinatorial optimization problem to rebuild ACFPs from their PCCMMs. We evaluated the performance of PCCMM in reconstructing ACFPs using the Jaccard similarity coefficient. …”
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A Novel Feedforward Youla Parameterization Method for Avoiding Local Minima in Stereo Image-Based Visual Servoing Control by Rongfei Li, Francis Assadian

“…In this paper, we systematically prove that this problem corresponds to the Perspective-3-Point (P3P) formulation, where exactly three known 3D points and their corresponding 2D image projections are used to estimate the pose of a stereo camera. …”
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The narrative of the «Northern Territories» in the socio-political discourse of contemporary Japan by D. V. Streltsov

“…In conclusion, the author notes that, despite all the efforts of the government, Japanese public opinion turns out to be relatively poorly informed about the problem of the “Northern Territories.” At the same time, as the generations change, the interest towards this problem is gradually decreasing, especially among young people. …”
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Designing a classroom learning in a university using the electronic learning course by Irina Anzaurovna Udzhukhu, Ruslan Kazbekovich Meshvez

“…The research is focused on the substantiating the possibilities of an e-learning course as a new format for designing the educational process at a university in the context of the digital revolution, which is the problem of our study. The purpose of the research is to reveal the experience of designing the educational process in a university in elective disciplines in Physical culture and sports using an electronic training course. …”
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Predicting the number of call center incoming calls using deep learning by Armaghan Nikfar, Javad Mohammadzadeh

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BT-YOLO11: Automatic Driving Road Target Detection in Complex Scenarios by Qi Wang, Qi Long Wang

“…In the feature extraction stage, Bi-level Routing Attention is introduced to enhance the model’s ability to capture feature information. …”
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Review of Synthetic Aperture Radar Automatic Target Recognition: A Dual Perspective on Classical and Deep Learning Techniques by Jakub Slesinski, Damian Wierzbicki

“…Feature-based approaches in traditional SAR ATR followed from conventional feature-driven strategies, while modern data-driven end-to-end recognition methods, consisting primarily of convolutional neural network based and hybrid networks, have been applied. …”
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Enhancing agricultural research with an Attention-Based Hybrid Model for precise classification of rice varieties by Nuzhat Noor Islam Prova

“…This new combined approach does better than Random Forest and Support Vector Classifier because it solves problems that are normally associated with it such as finegrained features and scaling. …”
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