The reasoning of necessity enhancing video privacy in conditions of providing the quality of the video information service provided in virtual infocommunication systems by В.В. Ларін, Д.В. Єрема, Ю.О. Болотська

“…So, one of the most important aspects of the providing information security problem is the definition, analysis and classification of possible threats to the confidentiality of information. …”
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Assessing cyber risks on board ships: A literature review by Costel Ungureanu, Carmen Gasparotti

“…Due to the multiple cyber-attacks that resulted in financial losses and personal information breaches, cyber security has become an essential issue for the maritime industry today. This research aims to identify the potential cyber risks associated with operational technology (OT) systems on board ships that influence the cyber security of vessels through a state-of the-art literature review. …”
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On the Relative Importance of Corporate Working Capital Determinants: Findings from the EU Countries by Julia Koralun-Bereźnicka

“…Managing short-term resources appears to be a much less remarkable issue, despite this resource’s significant share of a firm’s balance sheet and the time and effort required to manage the current assets and liabilities. …”
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Undifferentiated carcinoma of the uterine cervix with evidence of its origin from small-cell neuroendocrine carcinoma by Rajeshwari K Muthusamy, Sangita S Mehta

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Una aproximación a los escolios sobre las distinctiones en el Commentum Terenti de Elio Donato by Gemma Bernadó Ferrer

“…After an introduction to the Commentum Terenti of Aelius Donatus, I offer a classification of comments addressing the issue of distinctiones or breaks and other discursive marks.…”
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Major advances in amyotrophic lateral sclerosis in 2020 by Divyani Garg, Achal Kumar Srivastava

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Fever of unknown origin in rheumatology by A. V. Gordeev, N. M. Savushkina, E. A. Galushko

“…It highlights the main stages of studying this issue with a detailed description of the classification diagnostic criteria, etiological types, and clinical signs of certain types of FUO, which have undergone changes over time. …”
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Women and the Epistemology of Corporations Law by Peta Spender

“…When one begins to explore the issue of gender and corporations law, one’s immediate impression is that women are invisible. …”
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SAFETY OF BIOLOGICAL PREPARATIONS AND SMALL MOLECULES. ARE THERE ANY DIFFERENCES? by A. S. Kolbin, A. V. Kharchev

“…The authors used international databases to search for publications dedicated to this issue. As a result, this analysis involves studies describing adverse reactions of such biopharmaceuticals as immunosuppressants and antineoplastic agents. …”
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Shallow Model and Deep Learning Model for Features Extraction of Images by Saba Qasim Hasan

“…These properties make it possible to characterize the issue and create models that explain a system or process. …”
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RAP variability intelligent control framework for hot in-plant recycling of asphalt pavement by Guangji Xu, Mengze Du, Zan Shen, Fan Yang, Chengjia Han

“…Effectively controlling the variability of RAP materials has become key to ensuring the long-term durability of recycled pavements. To address this issue, this study proposes an intelligent framework for controlling RAP variability, introducing a method for RAP classification and storage based on the original performance of the pavement, as well as a method for calculating the maximum RAP incorporation rate based on RAP variability. …”
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Identification of water sources of mine water bursts based on the FPS-DT model by Kaide Liu, Yu xia, Xiaolong Li, Chaowei Sun, Wenping Yue, Qiyu Wang, Songxin Zhao, Shufeng Chen

“…The SMOTE algorithm is then applied to address the issue of class imbalance. Based on this, a decision tree model (FPS-DT) is constructed using the CART algorithm. …”
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Resampling approaches to handle class imbalance: a review from a data perspective by Miguel Carvalho, Armando J. Pinho, Susana Brás

“…Abstract This article presents a data-driven review of resampling approaches aimed at mitigating the class imbalance problem in machine learning, a widespread issue that limits classifier performance across numerous sectors. …”
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Investigating Nutritional and Health Dynamics across Stratified Profiles of Obesity by Stanislav Azor

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Large Scale Land Cover Mapping in Ontario, Canada, Using a Deep Learning Framework by Fariba Mohammadimanesh

“…A key limitation is their reliance on extensive training datasets. To address this issue, we propose a two-stage classification approach that integrates random forest for initial land cover mapping and MobileUNetR, a lightweight hybrid convolution-transformer model, for a refined classification. …”
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Spatiotemporal Dynamics and Driving Factors of Soil Salinization: A Case Study of the Yutian Oasis, Xinjiang, China by Shiqin Li, Ilyas Nurmemet, Jumeniyaz Seydehmet, Xiaobo Lv, Yilizhati Aili, Xinru Yu

“…Soil salinization is a critical global environmental issue, exacerbated by climatic and anthropogenic factors, and posing significant threats to agricultural productivity and ecological stability in arid regions. …”
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Radar signal recognition exploiting information geometry and support vector machine by Yuqing Cheng, Muran Guo, Limin Guo

“…Then, an SVM is adopted to recognise LPI radar signals due to its superiority in addressing the dimension disaster and non‐linear inseparability issue. The extracted time‐frequency features are fed into the SVM for classification and recognition. …”
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Towards lightweight model using non-local-based graph convolution neural network for SQL injection detection by Duc-Chinh Nguyen, Manh-Hung Ha, Manh-Tuan Do, Oscal Tzyh-Chiang Chen

“…SQL injection poses serious threats to web applications and databases by enabling unauthorized access and data leakage. To address this issue, we propose a unique graph network, an innovative topology not explored previously for SQL injection detection. …”
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Denoising Graph Inference Network for Document-Level Relation Extraction by Hailin Wang, Ke Qin, Guiduo Duan, Guangchun Luo

“…The conventional sentence-level RE task addresses this issue by a denoising method using the shortest dependency path to build a long-range semantic dependency between entity pairs. …”
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A Deep Learning-Driven CAD for Breast Cancer Detection via Thermograms: A Compact Multi-Architecture Feature Strategy by Omneya Attallah

“…Breast cancer continues to be the most common malignancy among women worldwide, presenting a considerable public health issue. Mammography, though the gold standard for screening, has limitations that catalyzed the advancement of non-invasive, radiation-free alternatives, such as thermal imaging (thermography). …”
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