The Problem of Choosing a Steganographic Container in Conditions of Attacks against an Embedded Message by Bobok I., Kobozieva A., Sokalsky S.

“…The goal was achieved using a theoretical study of perturbations of the formal parameters of the container ma-trix, as a result of steganographic transformation and active attacks, which made it possible to introduce a new formal representation for information protected from perturbing influence E, as the difference of low-rank approximations of container matrices and steganographic messages. …”
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Proposed Quality Control Charts Using Haar Wavelet Coefficients for Enhanced Production Monitoring by Sarah Ameen, taha ali

“…The new proposed charts are based on a method called wavelet transform for Haar wavelet. …”
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Research on Arthroscopic Images Bleeding Detection Algorithm Based on ViT-ResNet50 Integrated Model and Transfer Learning by Zewen Liu, Shaoyi Zhou, Jianqiao Chu, Zhiyuan Chai, Dongdong Chang, Yi Yuan, Jinling Qin, Xiancheng Wang

“…Then, a difference-enhanced proportional sampling method is proposed to enhance the unbalanced data. …”
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Features of Assessing the Competitiveness of Digital Ecosystems by Natalia Belousova, Natalia Panova, Oksana Kublashvili

“…In this regard, this article makes an attempt to explore the fundamentals of the competitiveness of digital ecosystems, to identify and systematize competitiveness factors, principles and evaluation criteria, which will further allow us to develop a system for assessing the competitiveness of digital ecosystems of different scales. The article examines the concept of competitiveness of a digital ecosystem, identifies the features of assessing a digital ecosystem, describes in detail the stages of assessment, considers the hierarchy of competitiveness of digital ecosystems, identifies features of the competitive environment, formulates competitiveness factors, presents statistics on the number of users and capitalization of certain digital ecosystems, reviews assessment methods and the basic principles of assessment and formulates differentiated indicators of the competitiveness of digital ecosystems. …”
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From High-resolution Remote Sensing to Tower-mounted Video Surveillance System: Dual Feature Image Matching-Based Precise Positioning Method in Complex Suburban Areas by Y. Chen, Z. Tang, Z. Wen, B. Chang, Z. Zhang, P. Wei, D. Li

“…To address these issues, this study proposes a Dual-Feature Image Matching-based Method for High-Resolution RS and TVS Collaboration method for precise positioning in complex suburban areas, referred to as DFMC. …”
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Potential of Soil Bacteria as Mercury Bioremediation Agent in Traditional Gold Mining by Winardi Winardi, Eko Haryono, Sudrajat Sudrajat, Endang Sutariningsih Soetarto

“…The study examined the potential of soil bacteria as mercury bioremediation agent based on their population and activity in former mines with different ages. The bacterial population was measured by isolating soil bacteria on solid media using the pour plate method, and the colonies were enumerated during the incubation. …”
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Catalytic oxidation of CO over the MOx – Co3O4 (M: fe, mn, cu, ni, cr, and Zn) mixed oxide nanocatalysts at low temperatures by Seyedeh Maryam Teymoori, Seyed Mehdi Alavi, Mehran Rezaei

“…Abstract A set of mixed metal oxide catalysts, MOx-Co3O4 (M: Fe, Mn, Cu, Ni, Cr, and Zn) enveloped in polymer nanofilms was fabricated using the solid-phase synthesis method. These catalysts were subsequently studied for their catalytic performance in the low-temperature oxidation of carbon monoxide. …”
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Assessment of Digital Activity of the Population in the Context of the Theory of Generations by M. V. Bikeeva

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Detecting Black-Box Model Probing Attacks Through Probability Scores by Yongzhi Wang, Ahsan Habib, Likhitha Reddy Kesara, Brahmarshi Jasti, Renjie Hu, Tejasv Singh

“…Our research discovered that the sequences of top-2 probability scores generated by different model probing attacks form distinct patterns that can be detected through time-series classification methods, such as Transformer and Bidirectional Long Short-Term Memory (BiLSTM). …”
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TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

“…Firstly, we propose an innovative pyramid-structured multi-scale feature extraction method, which captures the multi-scale features of modal data through convolution kernels of different sizes and strengthens key features through channel attention mechanism. …”
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An LLM-based hybrid approach for enhanced automated essay scoring by John Atkinson, Diego Palma

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Gender values in common-law marriages by Z. Kh. Kobleva

“…Currently the institution of the family and marriage relations is undergoing serious changes due to transformational processes of the Russian society. These changes are reflected in the variability of forms and models of the modern family and the common-law marriage is universally popular.In the context of the modernization of society, traditional gender stereotypes are being eroded, leading to a revision of established behavioral norms and social roles in the family, forming the value-motivational foundations of marriage.The Methods. …”
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Morphological transgression by reproduction through the short vowel and the silent A study of morphological variations in the poetry of Ibn al-Roumi by Marewan Ismail Jameel, Abdulsattar Salh Ahmad Albana

“…However, it may deviate from its usual pattern or the standard to settle in different methods and formulas known as ‘the modified language’. …”
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University proceedings. Volga region. Social sciences by Z.K. Kobleva

SwinConvNeXt: a fused deep learning architecture for Real-time garbage image classification by B. Madhavi, Mohan Mahanty, Chia-Chen Lin, B. Omkar Lakshmi Jagan, Hari Mohan Rai, Saurabh Agarwal, Neha Agarwal

“…People still face challenges in proper disposal methods for different types of waste, including landfill-bound items, recyclable materials, and biodegradable waste. …”
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Pure data correction enhancing remote sensing image classification with a lightweight ensemble model by Huaxiang Song, Hanglu Xie, Yingying Duan, Xinyi Xie, Fang Gan, Wei Wang, Jinling Liu

“…Abstract The classification of remote sensing images is inherently challenging due to the complexity, diversity, and sparsity of the data across different image samples. Existing advanced methods often require substantial modifications to model architectures to achieve optimal performance, resulting in complex frameworks that are difficult to adapt. …”
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Personal Data Recognition Using a Deep Learning Model by Nikita Babak

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Research on Measures to Limit Short-Circuit Current by Renovating the Equipment of the Power Grid by Shuqin Sun, Guanghao Zhou, Zaihua Li, Xiaojun Tang, Yuguang Zhou, Zhenghai Yuan

“…It investigates the principles of short-circuit current control and methods to limit short-circuit current through the modification of grid equipment. …”
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Implementation of ESG strategies of Russian companies under sanctions restrictions by M. A. Izmailova

“…Purpose: of the study is to analyze and determine the prospects for the implementation of ESG strategies of Russian companies in the context of escalating anti-Russian sanctions restrictions.Methods: the study is based on the application of the concept of sustainable development, evolving from the "umbrella" concept of corporate social responsibility. …”
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የጋብቻ ለውጥ መለማመጃ ሥርዓተ ክዋኔዎች በጃቢ ጠህናን ማኅበረሰብ by Siraye Endalew, Waltenigus Mekonnen, Desta Amare

“…However, it can be seen that they have made the transition, accepted the transformation, and become a part of the society through the processes that take place at the time. …”
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