Russia and the Transforming European Security by NAPOLEON POP, ANDREEA - EMANUELA DRĂGOI

“…It is on this positive note that we can affirm that a new architecture of security and trust between Russia and the European Union is needed, while undoubtedly both France and Germany, as joint leaders of Europe, will have to play an important role in this process.…”
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Rolling window for detecting multiple Chan signatures to diagnose excessive water production by Ahmed MohamedSalih Musa Hamdoon, A. P. Mohammed Abdalla Ayoub Mohammed, A. P. Khaled Abdalla Elraies

“…Throughout, an iterative optimization process, window size was determined as seven points, considering pattern duration. …”
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Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy by Yagyanath Rimal, Navneet Sharma, Siddhartha Paudel, Abeer Alsadoon, Madhav Parsad Koirala, Sumeet Gill

“…The novelty lies in the data preparation process, where numerical features were imputed using the mean, categorical features were imputed using chi-square methods, and normalization was applied. …”
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Machine learning-based prediction of physical parameters in heterogeneous carbonate reservoirs using well log data by Fuyong Wang, Xianmu Hou

“…Six machine learning algorithms are utilized: support vector machine (SVM), backpropagation (BP) neural network, gaussian process regression (GPR), extreme gradient boosting (XGBoost), K-nearest neighbor (KNN), and random forest (RF). …”
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Strategic Diagnostics of the Industry as a Strategizing Object by N. I. Sasaev

“…The changes associated with the strengthening of existing trends, the translation of global trends to regional and national levels, the emergence of new trends and their scaling up to the world level, leads to a transformation of conditions and the emergence of new strategic factors of economic development. This non-stationary process, which declares both negative and positive aspects, complicates the monitoring, search and selection of long-term guidelines for the industrial development of the economy, which justifies the relevance of the development of the methodological apparatus for strategizing industries.The industrial strategy developed in accordance with the general theory of strategy and the methodology of strategizing, the founder of which is Foreign Member of the Russian Academy of Sciences Vladimir L. …”
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Margin weighted robust discriminant score for feature selection in imbalanced gene expression classification. by Sheema Gul, Dost Muhammad Khan, Saeed Aldahmani, Zardad Khan

“…MW-RDS integrates a minority amplification factor to ensure the impact of minority class observation during feature ranking process. The amplification factor along with class specific stability weights obtained from minority-focused robust discriminant score are used for achieving maximum differential capability of genes/features. …”
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Method for Selecting Combinations of Optical Chemosensory Materials for Identification of Vapor-Phase Ecotoxicants by R. D. Chuvashov

“…The proposed method increases the reliability of identification of toxic substances while reducing the number of chemosensory materials involved in the process.…”
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Load aggregator adjustable capability forecasting based on graph convolution neural network by DONG Lingrui, WU Binyuan

“…Through the message transmission process on the graph, the response characteristics of different clusters could be shared, and both the historical data of the targeted node and other nodes are effectively used to improve the prediction accuracy from both spatial and temporal aspects. …”
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Tensor nested ring embedding used for domain adaptation of cross-source heterogeneous remote sensing feature tensors by Tong Gao, Min Liu, Wei Hu, Hao Chen

“…Although domain adaptation methods can reduce cross-source feature differences, they can only handle vector or homogeneous tensors and fail to process multisource data represented as heterogeneous tensors. …”
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A Multilevel and Hierarchical Approach for Multilabel Classification Model in SDGs Research by Berliana Sugiarti Putri, Lya Hulliyyatus Suadaa, Efri Diah Utami

“…Future research can modify the model to utilize a single language input to optimize the term frequency-inverse document frequency (TF-IDF) process, hence, the word meanings from each language are not considered different important words.…”
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Assessment of Teaching Quality of Traditional Decorative Patterns in Colleges and Universities Using an MCDM Approach and Circular Intuitionistic Information by Zi Wang, Liping Pan

“…This paper aims to analyze this assessment process using an enhanced framework of circular intuitionistic fuzzy sets (C-IFS) and the Dombi triangular norm. …”
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Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

“…With increasing data volume and complexity in the "Big Data" era, linear algebra operations are important tools to process massive datasets. On one hand, the advent of modern high-performance computing architectures with increasing computing power has greatly enhanced our capability to deal with a large volume of data. …”
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An Efficient Solution to the Perspective-n-Point Problem for Camera With Unknown Focal Length by Bingyi Zhou, Ziqiang Chen, Qinghua Liu

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Big Data Intelligent Analysis Technology for the Study of Spatial and Time Trends in the Development of Large Cities by K. V. Mulyukova, I. V. Mulyukov, V. M. Kureichik

“…During the study, it was found that the presentation of groups of the received data in a graphic image has a number of advantages over a tabular presentation of data (a vector image is easy to scale, the ability to compare without plotting).The proposed way for visualizing big data by constructing abstract vector images is an alternative to traditional tables, allowing you to take a different look at data arrays and the results of their processing. …”
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Efficiency of Therapeutic Use and Mechanisms of Therapeutic Effect of "Essentuki" and "Narzan" Mineral Waters in Various Diseases: a Review by Tatiana V. Konchugova, Tatiana V. Apkhanova, Tatyana V. Marfina, Detelina B. Kulchitskaya, Larisa A. Marchenkova, Valeriia A. Vasileva, Maxim Yu. Yakovlev, Olga M. Musaeva

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Implementasi Metode Longest Common Subsequences untuk Perbaikan Kata pada Kasus Analisis Sentimen Opini Pembelajaran Daring di Media Sosial Twitter by Alfisyar Jefry Pranata, Yuita Arum Sari, Edy Santoso

“…This opinion will be used in this research and will be processed first in the stage preprocessing. The method used in this research is Longest Common Subsequences (LCS) and Support Vector Machine (SVM) with 500 data divided into 250 data labeled positive and 250 data labeled negative. …”
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How far has the globe gone in achieving One Health? Current evidence and policy implications based on global One Health index by Qiyu Zhang, Jingshu Liu, Lefei Han, Xinchen Li, Chensheng Zhang, Zhaoyu Guo, Anqi Chao, Chenxi Wang, Erya Wan, Fumin Chen, Hanqing Zhao, Jiaxin Feng, Jingbo Xue, Lulu Huang, Jin Chen, Zhishan Sun, Zile Cheng, Jingxian Yin, Zhengze He, Liangyu Huang, Logan Wu, Siwei Fei, Siyu Gu, Tiange Jiang, Tianyun Li, Weiye Chen, Nan Zhou, Ne Qiang, Qin Li, Runchao He, Yi Zhang, Min Li, Xiangcheng Wang, Kokouvi Kassegne, Yongzhang Zhu, Leshan Xiu, Qinqin Hu, Kun Yin, Shang Xia, Shizhu Li, Zhaojun Wang, Xiaokui Guo, Xiaoxi Zhang, Xiao-Nong Zhou

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LLM-Driven, Self-Improving Framework for Security Test Automation: Leveraging Karate DSL for Augmented API Resilience by Emil Marian Pasca, Daniela Delinschi, Rudolf Erdei, Oliviu Matei

“…Our approach integrates vector databases for context retrieval, multiple LLM models for test generation, and observability tools for process monitoring. …”
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FEATURES OF BUSINESS COMMUNICATIONS IN THE SPHERE OF PUBLIC ADMINISTRATION by Viktoriia Andriiash, Svitlana Verba

“…It is emphasized that the communicative process plays an important role in public administration, regardless of the form of communication. …”
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Application of Axis Orbit Image Optimization in Fault Diagnosis for Rotor System by Xinyu Pang, Jie Shao, Xuanyi Xue, Wangwang Jiang

“…The method is a combination of ensemble empirical mode decomposition (EEMD), morphological image processing, Hu invariant moment feature vector, and back propagation (BP) neural network. …”
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