Classifying Power Quality Issues in Railway Electrification Systems Using a Nonsubsampled Contourlet Transform Approach by Pampa Sinha, Kaushik Paul, I. M. Elzein, Mohamed Metwally Mahmoud, Ali M. El‐Rifaie, Wulfran Fendzi Mbasso, Ahmed M. Ewais

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Vestibular schwannoma: structural characteristics, objectification of metabolic dysfunction and its clinical significance (controversial and promising issues) by O.Yu. Malysheva, V.V. Vaslovych, O.G. Chernenko, V.O. Fedirko, G.A. Shmeleva, T.A. Malysheva

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ISSUES CONCERNING PROTECTION OF THE VINE FAMILY (FAMILY <i> VITACEAE </i> JUSS.) IN THE RUSSIAN FAR EAST by N. I. Denisov

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A systematic review of deep learning techniques for apple leaf diseases classification and detection by Assad Souleyman Doutoum, Bulent Tugrul

“…Computer vision applications have become an effective tool in recent years for handling these issues. They can provide accurate disease detection and classification through massive image datasets. …”
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THE SUSTAINABLE TRANSPORTATION PLANNING IN RUSSIAN CITIES: PESPECTIVES FOR STREET CLASSIFICATION AND URBAN STREET DESIGN by E. S. Prelovskaya, A. G. Levashev, A. U. Michaylov, B. Engel

“…The article provides the results of the analysis of normative, scientific Russian and International literature on the issues of the features of the  formation and functioning sustainable street network, also the classification  of urban streets is presented. …”
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The analysis of sculpture image classification in utilization of 3D reconstruction under K-means++ by Xuhui Wang

“…Abstract This study aims to address the issues of accuracy and efficiency in sculpture image classification. …”
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A multi-label classification method for disposing incomplete labeled data and label relevance by Lina ZHANG, Lingpeng DAI, Tai KUANG

“…Multi-label classification methods have been applied in many real-world fields，in which the labels may have strong relevance and some of them even are incomplete or missing.However，existing multi-label classification algorithms are unable to handle both issues simultaneously.A new probabilistic model that can automatically learn and exploit multi-label relevance was proposed on label relevance and missing label classification simultaneously.By integrating out the missing information，it also provides a disciplined approach to handle missing labels.Experiments on a number of real world data sets with both complete and incomplete labels demonstrated that the proposed method can achieve higher classification and prediction evaluation scores than the existing multi-label classification algorithms.…”
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Improving kernel ridge regression for medical data classification based on meta-heuristic algorithms

“…Of the three datasets, it achieved an overall result of 79 % in producing the highest classification accuracy. © 2025 The Authors…”
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Retraction Notice: Brain Tumors Classification System Using Convolutional Recurrent Neural Network by Akila V., Abhilash P.K., Satya Phanindra P Bala Venakata, Kumar J Pavan, Kavitha A.

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Cryptocurrencies and Digital Assets in the Modern Legal and Financial System of Russia: Problems of Terminology and Classification by A. V. Krupochkin, I. P. Khominich

“…The article is devoted to the problem of terminological uncertainty and the lack of a unified classification of cryptocurrencies and digital assets in modern Russian legislation. …”
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Comparative Assessment of Several Effective Machine Learning Classification Methods for Maternal Health Risk by Md Nurul Raihen, Sultana Akter

“…Early identification and classification of risk variables can successfully prevent pregnancy-related issues by reducing the number of errors. …”
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Utilization of FTIR Spectroscopic Method in Classification and Analysis of Mineral Samples Containing Sodium and Potassium by Adnan Kenar, Fahriye Öğüt

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Classification of lung cancer severity using gene expression data based on deep learning by Ali Bou Nassif, Nour Ayman Abujabal, Aya Alchikh Omar

“…As a result, the optimized CNN model using F-test feature selection method, achieved high classification accuracies of approximately 93.94% for LUAD and 88.42% for LUSC.…”
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Text-Mining-Based Non-Face-to-Face Counseling Data Classification and Management System by Woncheol Park, Seungmin Oh, Seonghyun Park

“…The system addresses the challenge of understanding internal issues that may be difficult to express in traditional face-to-face counseling. …”
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Automatic Mushroom Species Classification Model for Foodborne Disease Prevention Based on Vision Transformer by Boyuan Wang

“…We propose a novel deep learning pipeline (ViT-Mushroom) for mushroom classification using the Vision Transformer large network (ViT-L/32). …”
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Brain Tumor Classification Using FCM, DenseNet, and SVM with Transfer Learning Techniques by Rai Vivek, Tiwari Nirupma

“…Brain tumor classification is a critical task in medical imaging, aimed at distinguishing between different tumor types for timely diagnosis and treatment planning. …”
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Classification of Beef, Goat, and Pork using GLCM Texture-Based Backpropagation Neural Network by Irma Saraswati, Rian Fahrizal, Anugrah Nuur Fauzan, Muchtar Ali Setyo Yudono

“…The findings of this study suggest that GLCM is an effective tool for deriving relevant statistical parameters necessary for classification. This research makes a significant contribution to developing a meat identification system that safeguards consumers and promotes awareness of food safety issues. …”
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Structural Classification Methodology and Assignment of General Shop Costs for the Industrial Company’s Production Cost by I. E. Mizikovskii

“…Structural classification is one of the most urgent problems of accounting and calculation activities. …”
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A Trusted Measurement Scheme for Connected Vehicles Based on Trust Classification and Trust Reverse by Zipeng Diao, Mengxiang Wang, Qiang Fu, Bei Gong, Meng Chen

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Classification, Functions, Development and Outlook of Photoanode Block Layer for Dye-Sensitized Solar Cells by Youqing Wang, Wenxuan Wu, Peiling Ren

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