Methodical Approach to Developing a Risk Management System of Risks for the Development of the Russian Stock Market by E. N. Alifanova, T. V. Maniakhin

“…During the study, mainly methods of analysis and synthesis, classification, induction and deduction were used. Based on the results of the study, the authorized government bodies were recommended to implement a unified methodological approach to risk management for all involved parties for the development of the national stock market, taking into account the different goals of different participants. …”
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Explicit and Implicit Knowledge in Large-Scale Linguistic Data and Digital Footprints from Social Networks by Maria Pilgun

“…Explicit knowledge analysis is more predictable and suitable for tasks requiring quantitative assessments or classification of explicit data, while implicit knowledge analysis complements it by enabling a deeper understanding of subtle emotional and contextual nuances, particularly relevant for public opinion research, social well-being assessment, and predictive analytics. …”
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OUTPATIENT FOLLOW-UP OF THE LOWER EXTREMITIES ATHEROSCLEROSIS PATIENTS FROM CARDIOLOGIST POINT OF VIEW by A. N Sumin, M. A. Kosova, Yu. D. Medvedevа, A. V. Shcheglova, S. A. Makarov, G. V. Artamonova, L. S. Barbarash

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Myeloid/natural killer cell precursor acute leukaemia. Case report and literature review by V. R. Gorodetsky, N. A. Probatova, N. N. Tupitsyn, A. M. Kovrigina, E. N. Sholokhova, M. A. Frenkel, T. T. Kondratyeva, L. Yu. Grivtsova, E. V. Fleishman, A. I. Pavlovskaya

“…The leukemoid infiltration of liver, acute hepatitis and development of liver cell failure were the distinctive features of the described case. The issues pertaining to differential diagnostics and classification of MNKL are also discussed.…”
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NAHP: Neutrosophic Hierarchical Analysis for Pest Prioritization in Plantain Cultivation by Marely del Rosario Cruz Felipe, Víctor Noe Sánchez Carreno, Lorenzo Cevallos-Torres

“…Results show that NAHP delivers robust and consistent classifications, enabling more effective pest prioritization for enhancing both technical and agricultural efficiency. …”
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Review and Critiqueof “Fundamentals of Finance and Budget in Education Sector” by Abdollah Ansari

“…The results of assessment showed that history of budget in the country, principles, and steps of budget classification and methods of income and expenditure estimate have been explained in details. …”
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Principles of IP-Court Activity in Ukraine by S. V. Volovyk

“…The concept of “principles” and their classification have been defined. The author has noted the importance of international principles of court activity in Ukraine. …”
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Analysis of Model Merging Methods for Continual Updating of Foundation Models in Distributed Data Settings by Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

“…Foundation models have achieved remarkable success across various domains, but still face critical challenges such as limited data availability, high computational requirements, and rapid knowledge obsolescence. To address these issues, we propose a novel framework that integrates model merging with federated learning to enable continual foundation model updates without centralizing sensitive data. …”
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Large-area urban TomoSAR method with limited a priori knowledge and a complex deep learning model by Haoxuan Duan, Yuzhou Liu, Hong Zhang, Peifeng Ma, Zhongqi Shi, Zihuan Guo, Yixian Tang, Fan Wu, Chao Wang

“…To address the above issues, this study proposes a novel large-area urban TomoSAR method integrating limited a priori knowledge constraints with a complex-valued (CV) deep learning model. …”
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Application of a dynamo-based intelligent drawing review program in the general code for building fire protection - Case study of subsection 7.4.7 by Yong Xu, Min Liu, Taiyang Zhang, Hongyuan Tang, Yingda Zhang

“…The program enables classification of evacuation components—exits, walkways, and stairs—and formulates visual review logic to automate the verification of total net evacuation widths. …”
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Adaptive Graph Learning with Multimodal Fusion for Emotion Recognition in Conversation by Jian Liu, Jian Li, Jiawei Dong, Zifan Mo, Na Liu, Qingdu Li, Ye Yuan

“…On the MOSEI dataset, it achieves a 1.2% gain in binary classification accuracy (ACC-2).…”
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Leveraging Super-Resolution Technology in Drone Imagery for Advanced Plant Disease Diagnosis and Prognosis by Vignesh A. Palan, Shivam Thakur, N. Sumith

“…Plant diseases are among the most alarming issues. To address the challenge of identifying plant diseases from drone-captured images, which often lack sufficient resolution and may lead to mis-classification, we propose Vision-based Image Generation and Analysis Model (VIGAM) framework as a solution. …”
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Integration of drone and machine learning technology for predicting power infrastructure faults efficiently by WT Alshaibani, Ibraheem Shayea, Ramazan Caglar, Tareq Babaqi

“…Power transmission and distribution networks frequently face issues, especially in harsh environments, leading to high maintenance costs and the need for uninterrupted electricity. …”
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Using Hybrid Artificial Intelligence Approaches to Predict the Fracture Energy of Concrete Beams by Qinghua Xiao, Congming Li, Shengxiang Lei, Xiangyu Han, Qiaofeng Chen, Zemin Qiu, Biao Sun

“…In this study, artificial intelligence approaches were tried to seek a feasible way to solve these prediction issues. Firstly, the ridge regression (RR), the classification and regression tree (CART), and the gradient boosting regression tree (GBRT) were selected to construct the predictive models. …”
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Hand-Related Activities of Daily Living Challenges Among Individuals With Diabetic Peripheral Neuropathy: A Scoping Review by Noor Aziella Mohd Nayan, Chi-Wen Chien, Najihah Lokman, Mohammed Alrashdi, Ahmad Zamir Che Daud

“…This review employed the International Classification of Functioning, Disability, and Health (ICF) framework to assess hand function issues. …”
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HoloMine: A Synthetic Dataset for Buried Landmines Recognition Using Microwave Holographic Imaging by Emanuele Vivoli, Lorenzo Capineri, Marco Bertini

“…In this article, we propose a novel synthetic dataset for buried landmine detection to provide researchers with a valuable resource to observe, measure, locate, and address issues in landmine detection. The dataset consists of 41 800 microwave holographic images (2-D) and their holographic inverted scans (3-D) of different types of buried objects, including landmines, clutter, and pottery objects, and is collected by means of a microwave holography radar. …”
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BoneCLIP-XGBoost: A Multimodal Approach for Bone Fracture Diagnosis by Zhihao Su, Yuhuai Zhou, Jianqun Zhou, Hanhua Cao, Huanping Zhang

“…In response to these issues, we introduce BoneCLIP-XGBoost, a novel diagnostic model that combines the strengths of Vision Transformer (ViT) and ClinicalBERT for feature extraction with the powerful classification capabilities of XGBoost. …”
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Modelling of energy demand prediction system in potato farming using deep learning method by Riswanti Sigalingging, Nasha Putri Sebayang, Noverita Sprinse Vinolina, Lukman Adlin Harahap

“…A system using deep learning methods, specifically the Convolutional Neural Network (CNN), was also developed to accurately predict the classification of potato plant growth phases using image data. …”
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An architectural framework for information integration using machine learning approaches for smart city security profiling by Adnan Abid, Ansar Abbas, Adel Khelifi, Muhammad Shoaib Farooq, Razi Iqbal, Uzma Farooq

“…The information extractor and news classifier have been implemented, whereby the classification sub-component employs widely used text classifiers for a news data set comprising almost 5000 news manually compiled for this purpose. …”
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Research on Rural Heating Energy Reform in Heilongjiang Province: Based on a Survey of 209 Households by Lu Shuaijun, Liu Tiansen, Dong Mengtong, Wu Hanxue, Zhang Qiaowei

“…Finally, Friedman and Wilcoxon signed rank tests were applied to examine key issues (Q) and government-driven optimization methods (V) for heating-energy structure, The results show that the government should focus on the economy, heating effect and environmental pollution of clean heating to avoid waste of resources.…”
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