Developing Computer Vision Models for Classifying Grain Shapes of Crushed Stone by Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, Alexandr A. Shilov, Irina Razveeva, Diana Elshaeva, Andrei Chernil’nik, Gleb Onore

“…In the construction industry, along with traditional approaches for the visual and instrumental assessment of building materials, methods based on intelligent algorithms are increasingly appearing; in particular, machine learning and neural network technologies. …”
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Longitudinal Comparison of Geographic Atrophy Enlargement Using Manual, Semiautomated, and Deep Learning Approaches by Jacob Bogost, Rachel E. Linderman, PhD, Robert Slater, PhD, Thomas F. Saunders, OD, Caleb Pacheco, Jeong Pak, PhD, Rick Voland, PhD, Barbara Blodi, MD, Amitha Domalpally, MD, PhD

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Efficient Polarization Demosaicking Via Low-Cost Edge-Aware and Inter-Channel Correlation by Guangsen Liu, Peng Rao, Xin Chen, Yao Li, Haixin Jiang

“…Efficient and high-fidelity polarization demosaicking is critical for the industrial applications of division of focal plane (DoFP) polarization imaging systems. However, existing methods often struggle to balance speed, accuracy, and complexity. …”
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Rw-Dm: Retinex and wavelet-based diffusion model for low-light image enhancement in underground coal mines by Yadong Li, Jun Tian, Yang Chen, Hongdong Wang, Hui Yan, Yang Peng, Tianjiao Wang

“…While diffusion model-based approaches for low-light image enhancement have shown considerable promise, these methods are often characterized by high resource consumption, slow processing speeds, and a tendency towards instability. …”
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Low-Cost Microalgae Cell Concentration Estimation in Hydrochemistry Applications Using Computer Vision by Julia Borisova, Ivan V. Morshchinin, Veronika I. Nazarova, Nelli Molodkina, Nikolay O. Nikitin

“…Accurate and efficient estimation of microalgae cell concentration is critical for applications in hydrochemical monitoring, biofuel production, pharmaceuticals, and ecological studies. Traditional methods, such as manual counting with a hemocytometer, are time-consuming and prone to human error, while automated systems are often costly and require extensive training data. …”
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Comparing circular and flexibly-shaped scan statistics for disease clustering detection by Lina Wang, Xiang Li, Zhengbin Zhang, Haoxun Yuan, Pengfei Lu, Yaru Li

“…Using tuberculosis data from Wuhan, China (2015–2019), the study identified the optimal parameter settings—MSWS and K-value—for each method to ensure accurate clustering. A comprehensive comparison was made using two quantitative indicators, the LLR value and cluster size, as well as clustering visualizations. …”
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FCSwinU: Fourier Convolutions and Swin Transformer UNet for Hyperspectral and Multispectral Image Fusion by Rumei Li, Liyan Zhang, Zun Wang, Xiaojuan Li

“…Experimental results from three benchmark datasets and a real-world dataset robustly validate the superior performance of our method in both visual representation and quantitative assessment compared to existing fusion methods.…”
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Identification and quantitative determination of arbutin in the herb of Orthilia secunda by A. V. Lezina, I. I. Terninko, M. V. Krysko

“…Identification and quantification of arbutin by chromatographic methods in Orthilia secunda (L.) House, harvested in various phytocenotic zones.Materials and methods. …”
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“Fish Purchases” of the Joseph-Volokolamsk Monastery in the Late 16th – Early 17th Century: Based on the Materials of Coming-Expensive Books by Evgeniya Tseluykina

“…The article deals with the issue of the quantity and composition of fish in the everyday life of the Joseph-Volokolamsk Monastery in the late 16th and early 17th centuries. Methods and materials. The number and composition of “fish purchases” were calculated chronologically, which led to the use of the historical and comparative method both vertically (comparing fish prices from the 1570s to the 1610s) and horizontally (comparing fish prices in Moscow, Novgorod, and Kargopol). …”
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Dynamics of medical and statistical indicators of cervical cancer over a 10-year period (2011–2020) in Novokuznetsk by S. V. Shramko, N. M. Zhilina, V. N. Dureev

“…The database analysis was carried out in the licensed statistical package IBM SPSS Statistics 19 using the following methods: Kendall’s tau correlation method (Ʈ), calculation of median values of indicators, upper and lower quartiles, Mann–Whitney test (U).Results. …”
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Effect of stress ball use on cannulation-related invasive pain in Hemodialysis patients: a randomized controlled, single-blind study by Betül Tosun, Soner Berşe, Ezgi Dirgar, Nurten Özen

“…Abstract Background Stress ball usage is one of the non-pharmacological methods that help reduce pain and anxiety by diverting an individual’s attention elsewhere. …”
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Gradient boosting for yield prediction of elite maize hybrid ZhengDan 958. by Oumnia Ennaji, Sfia Baha, Leonardus Vergutz, Achraf El Allali

“…Understanding accurate methods for predicting yields in complex agricultural systems is critical for effective nutrient management and crop growth. …”
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THE CONTRIBUTION OF THE CHURCH TO THE ORGANIZATION OF ANTI-ALCOHOL POLICY IN PRE-REVOLUTIONARY RUSSIA IN THE LATE XIX - EARLY XX CENTURIES (BY THE EXAMPLE OF THE OREL DIOCESE) by O. Klevtsova

“…Modern society uses different methods of inluence. These are visual propaganda, promotion of sports, a healthy lifestyle, conversations among young people and bans at the legislative level. …”
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Research on fault diagnosis of CTCS on-board equipment based on knowledge graph by CHEN Huiyuan

“…These drawbacks necessitate the adoption of intelligent means to quickly identify fault causes, extract fault diagnosis methods, and assist operation and maintenance personnel through decision support. …”
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UniFlow: Unified Normalizing Flow for Unsupervised Multi-Class Anomaly Detection by Jianmei Zhong, Yanzhi Song

“…In this work, we propose a powerful unified normalizing flow for multi-class anomaly detection, which we call UniFlow. A multi-cognitive visual adapter (Mona) is employed in our method as the feature adaptation layer to adapt image features for both the multi-class anomaly detection task and the normalizing flow model, facilitating the learning of general knowledge of normal images across multiple categories. …”
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Determination of bean resistance to anthracnose pathogen – Colletotrichum lindemuthianum Br. et Cav by A. M. Pashkevich, A. I. Tchaikovsky, N. V. Medved

“…Phytopathological assessment of plant infectivity was carried out on the basis of visual and instrumental methods, taking into account the reaction of plants and the intensity of the lesion, in the conditions of a natural infectious background in the phase of technical ripeness.Results. …”
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Prospects for the Botulinum Toxin Use in the Treatment of Children`s Strabismus. Review by E. Y. Markova, K. A. Dubrovina, G. V. Avakyants, E. A. Malayan

“…There are several ways of introducing BTA: the traditional transconjunctival method of administration under the control of electromyography, used by most ophthalmologists, is not acceptable for treating pediatric patients, transconjunctivally into the subtenon space 10 mm from the limbus into the projection zone of the medial rectus muscle using a 1.0 ml tuberculin syringe with 27G needle, introduction to the muscle with the opening of the conjunctiva, which is safer, is carried out under complete visual control and with the release of extraocular muscle. …”
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Financial accounting management strategy based on business intelligence technology for sustainable development strategy by Jianben Feng

“…However, traditional financial risk assessment methods rely on linear assumptions, which have significant limitations in dealing with complex, high-dimensional, and nonlinear financial data of modern enterprises, making it difficult to accurately identify potential financial distress. …”
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On the Classification of Regions of the Russian Federation by Level of Socio-Economic Development and Innovation Activity Index by A. S. Vtorygin

“…The study provides a multidimensional classification of Russian regions using an indicative analysis of the innovative potential of territories and their socio-economic development, clustering by the Ward method and the Euclidean distance metric, as well as analysis, comparison and illustration of the results obtained using methods of visualizing information in tabular, graphical form, including the usage of cartograms.Results. …”
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Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture by Haining Gao, Haoyu Wang, Hongdan Shen, Shule Xing, Yong Yang, Yinlin Wang, Wenfu Liu, Lei Yu, Mazhar Ali, Imran Ali Khan

“…Multi-modal data features of different machining states are then obtained using time–frequency domain methods and Markov transition field methods. Sensitivity analysis of time–frequency domain features is conducted using Pearson correlation coefficient analysis. …”
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