Which shareholders are interested in the ESG-indicators of the company? by V. V. Karginova-Gubinova

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Fast and accurate RFD-like descriptor approximation for SIMD architectures by Artem Sher, Anton Trusov, Mikhail Maksimenko, Elena Limonova, Vladimir L. Arlazarov

“…Abstract Local image descriptors are widely used for identifying image features and performing various computer vision tasks, such as object recognition, image matching, and scene reconstruction. …”
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Gaze Estimation Network Based on Multi-Head Attention, Fusion, and Interaction by Changli Li, Fangfang Li, Kao Zhang, Nenglun Chen, Zhigeng Pan

“…Gaze is an externally observable indicator of human visual attention, and thus, recording the gaze position can help to solve many problems. Existing gaze estimation models typically utilize separate neural network branches to process data streams from both eyes and the face, failing to fully exploit their feature correlations. …”
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An Adaptive Variable-Weight Combination Forecasting Method for Energy Product Sales Based on Meta-Learning by Meitian Wang

“…However, energy product sales data have both linear and nonlinear features, and it is difficult for a single model to effectively balance the feature learning of both. …”
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Robust multi-source geographic entities matching by maximizing geometric and semantic similarity by YuHan Yan, PengDa Wu, Yong Yin, PeiPei Guo

“…First, the entire entity is segmented based on shape features, and the partitioned feature segments are extracted as matching primitives; Second, feature segments are grouped into patterns, encompassing three major categories and fourteen subcategories; Following this, pattern matching is performed based on spatial similarity metric such as maximum projection distance, etc.; Finally, the spatial matches are detected and refined through semantic similarity calculation. …”
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FFAE-UNet: An Efficient Pear Leaf Disease Segmentation Network Based on U-Shaped Architecture by Wenyu Wang, Jie Ding, Xin Shu, Wenwen Xu, Yunzhi Wu

“…The AGM module effectively suppresses background noise interference by reconstructing features and accurately capturing spatial and channel relationships, while the FESM module enhances the model’s responsiveness to disease features at different scales through channel aggregation and feature supplementation mechanisms. …”
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A multi-scale small object detection algorithm SMA-YOLO for UAV remote sensing images by Shilong Zhou, Haijin Zhou, Lei Qian

“…Finally, we incorporate a Channel-Space Feature Fusion Adaptive Head (CSFA-Head), which fully handles multi-scale features and adaptively handles consistency problems of different scales, further improving the robustness of the model in complex scenarios. …”
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SBNNR: Small-Size Bat-Optimized KNN Regression by Rasool Seyghaly, Jordi Garcia, Xavi Masip-Bruin, Jovana Kuljanin

“…For feature selection, instance selection, and hyperparameter tuning, we use the bat optimization algorithm (BA). …”
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On Robustness of the Explanatory Power of Machine Learning Models: Insights From a New Explainable AI Approach Using Sensitivity Analysis by Banamali Panigrahi, Saman Razavi, Lorne E. Doig, Blanchard Cordell, Hoshin V. Gupta, Karsten Liber

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Cross-Temporal Knowledge Injection With Color Distribution Normalization for Remote Sensing Change Detection by Wenqi Zheng, Junze Yang, Jianing Chen, Jinlong He, Pengfei Li, Daobo Sun, Chuhao Chen, Xiangxu Meng

“…Subsequently, after refining the granularity of multiscale features extracted from the backbone using learnable weights with varying preferences. …”
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Infrared Small Target Detection Algorithm Based on Improved Dense Nested U-Net Network by Xinyue Du, Ke Cheng, Jin Zhang, Yuanyu Wang, Fan Yang, Wei Zhou, Yu Lin

“…A dense nested interaction module (DNIM) is designed as a feature extraction module to achieve level-by-level feature fusion and retain small targets’ features and detailed positioning information. …”
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Advancing Engineering Solutions with Protozoa-Based Differential Evolution: A Hybrid Optimization Approach by Hussam N. Fakhouri, Faten Hamad, Abdelraouf Ishtaiwi, Amjad Hudaib, Niveen Halalsheh, Sandi N. Fakhouri

“…The HPDE algorithm is designed to balance exploration and exploitation features, utilizing innovative features such as autotrophic and heterotrophic foraging behaviors, dormancy, and reproduction processes alongside the DE strategy. …”
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A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures by Shi Zheng, Lifen Lin, Wufeng Mao, Yanhong Wang, Jinsong Liu, Yili Yuan

“…Three objective functions—integral-type (<i>F</i>₁), feature-driven (<i>F</i>₂), and hybrid (<i>F</i>₃)—were systematically compared using experimental data from a C40 concrete specimen under controlled curing. …”
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Development and performance evaluation of a Bengali-adapted mHealth app for early detection of impaired visual acuity by Monzurul Haque, Marzia Zaman, Ashraful Islam, Farhana Sarker, Nahid Ferdausi, Khondaker A. Mamun

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COMPETENCE-BASED APPROACH WHILE TEACHING FUNDAMENTAL SCIENCE SUBJECTS AT MEDICAL UNIVERSITY by V. Y. Gelman, N. M. Khmelnitskaya

“…The aim of the study is to analyze the features of the competence approach application in the theoretical and natural science subjects’ teaching in medical school.Methods. …”
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Review of the monograph «Bugai N.F. Problems of the national policy of the Russian Federation: the state of study, the experience of regulating ethnic processes (1990s – 2015). – M... by Svetlana I. Akkieva, Alexey Кh. Abazov

“…Bugai. It examines the problems of the national policy of the Russian Federation in the period from the 1990s to the early 2020s. …”
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Classification of Structural and Functional Development Stage of Cardiomyocytes Using Machine Learning Techniques by V. R. Bondarev, K. O. Ivanko, N. G. Ivanushkina

“… The study is dedicated to the problem of classification of structural and functional development stage of cardiomyocytes derived from the induced pluripotent stem cells with application of the digital image processing methods and machine learning algorithms, in particular, neural networks. …”
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Classification of fixed assets for accounting purposes in the public sphere by T. L. Leukhina

“…The points of view of scientists on the problem of accounting (budgetary) accounting of fixed assets are considered, their work is analyzed in terms of the completeness of disclosure of types of long-term assets. …”
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About the Medieval Bulgar-Tatar Architectural Tradition (in the case of Golden Horde Mausoleums) by Valeeva-Suleimanova G.F.

“…Comparative analogies of the architecture of buildings make it possible to outline the problem of the origin of the Chishma mausoleums and draw a conclusion about the common style and traditions of Bulgarian Golden Horde architecture over the vast territory of the Volga-Ural region.…”
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2-([1,2,4]triazolo[1,5-c]quinazoline-2-yl-)alkyl-(alkaryl-,aryl-)-amines and their derivatives. Message 2. The synthesis of (3Н-quinazoline-4-ylidene)hydrazides N-protected aminoac... by Yu. V. Martynenko, M. S. Kazunin, I. S. Nosulenko, G. G. Berest, S. І. Kоvalenko, O. M. Kamyshnyi, N. M. Polishchuk

“…The introduction of N-protected aminoacids moieties into 4-hydrazinoquinazoline molecule is an important aspect, which solves this problem and extends the limits of hydrazides usage. …”
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