CNN‐based off‐angle iris segmentation and recognition by Ehsaneddin Jalilian, Mahmut Karakaya, Andreas Uhl

“…While deep learning techniques (i.e. segmentation‐based convolutional neural networks (CNNs)) are increasingly being used to address this problem, there is a significant lack of information about the mechanism of the related distortions affecting the performance of these networks and no comprehensive recognition framework is dedicated, in particular, to off‐angle iris recognition using such modules. …”
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Optimizing Large Railway Vision Models for Efficient In-Context Learning by Xuemei Zhan, Xubo Wu, Hua Ma

“…Consequently, LRVMs face challenges in achieving high throughput compared to state-of-the-art, task-specific railway models. To address this problem, we propose a novel framework with cross-block feature union (CBFU) designed to optimize the computation time and GPU memory allocations for LRVMs, in both the training and inference phases while preserving accuracy. …”
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ViTMa: A Novel Hybrid Vision Transformer and Mamba for Kinship Recognition in Indonesian Facial Micro-Expressions by Ike Fibriani, Eko Mulyanto Yuniarno, Ronny Mardiyanto, Mauridhi Hery Purnomo

“…The Siamese architecture processes two input images, extracts features fused with feature fusion, and passes them to a classification network. …”
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Synthesizing Explainability Across Multiple ML Models for Structured Data by Emir Veledar, Lili Zhou, Omar Veledar, Hannah Gardener, Carolina M. Gutierrez, Jose G. Romano, Tatjana Rundek

“…The framework is designed to be reproducible and generalizable, capable of taking important outputs from any set of machine-learning models and producing an aggregated ranking highlighting consistently important features. This approach acknowledges that any single model is a simplification of complex, multidimensional phenomena; using multiple diverse models, each optimized from a different perspective, WISFC systematically captures different facets of the problem space to create a more structured and comprehensive view. …”
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Efficient Encoding and Decoding of Voxelized Models for Machine Learning-Based Applications by Damjan Strnad, Stefan Kohek, Borut Zalik, Libor Vasa, Andrej Nerat

“…Storing, transmitting and consuming voxelized geometry, however, remains a challenging problem for machine learning pipelines running on devices with limited amount of on-chip memory with low access latency. …”
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SMS Scam Detection Application Based on Optical Character Recognition for Image Data Using Unsupervised and Deep Semi-Supervised Learning by Anjali Shinde, Essa Q. Shahra, Shadi Basurra, Faisal Saeed, Abdulrahman A. AlSewari, Waheb A. Jabbar

“…The growing problem of unsolicited text messages (smishing) and data irregularities necessitates stronger spam detection solutions. …”
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Effective Cultivated Land Extraction in Complex Terrain Using High-Resolution Imagery and Deep Learning Method by Zhenzhen Liu, Jianhua Guo, Chenghang Li, Lijun Wang, Dongkai Gao, Yali Bai, Fen Qin

“…We obtained optimal input data for the U-Net model by fusing spectral features and vegetation index features from remote sensing images. …”
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THE SCALES OF INFORMATION TECHNOLOGIES IMPLEMENTATION IN THE MODERN RUSSIAN ECONOMY by A. F. Vladimirova, I. B. Rodina

“…The features and problems of using information technologies in the national economy of the Russian Federation have been analysed. …”
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Research methodology for corporate disclosure of business social responsibility: conceptual approach by O. V. Efimova, O. V. Rozhnova

“…With this article, the authors open a series of publications that will comprehensively and systematically study the problems of accounting, analysis and assessment of the economic entities` social responsibility in a rapidly changing environment and emerging new challenges for society and business, including the development of a research methodology, assessment of the composition, completeness and quality of the information base, taking into account industry-specific features of the studied objects, and analytical methods and procedures.…”
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Features of structural and geometric remodeling of the heart and changes in heart diastolic filling in patients with chronic heart failure of ischemic genesis with reduced left ven... by V. A. Lysenko

“…Despite a substantial range of studies on the features of structural and geometric remodeling of the heart, changes in systolic and diastolic function of the ventricles in CHF patients, this issue still presents a challenge and needs to be improved. …”
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Optimized DINO model for accurate object detection of sesame seedlings and weeds by Yong Wang, ShunFa Xu, ZhenYuan Ye, KongHao Cheng

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Automatic extraction for the traffic of unknown network applications by Bian-qin WANG, Shun-zheng YU

“…The features of unknown network applications can be extracted using its traffic data. …”
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Hyperspectral Attention Network for Object Tracking by Shuangjiang Yu, Jianjun Ni, Shuai Fu, Tao Qu

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Normative framework for the protection against genetic discrimination in Serbia by Petrušić Nevena

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Application of biometric systems in face identification technologies by A. A. Kulikov

“…It is proposed that a biometric feature and a biometrics parameter mean a certain value that has a physical meaning that characterizes the subject itself. …”
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Local Diversity-Guided Weakly Supervised Fine-Grained Image Classification Method by Yuebo Meng, Xianglong Luo, Hua Zhan, Bo Wang, Shilong Su, Guanghui Liu

“…We also introduce a random selection strategy (RSS) that forces the network to learn more comprehensive and detailed information and more local features from the attention map by designing three feature extraction operations. …”
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Clinico-psycological characteristics of schizoaffective disorder remission in the context of pathopersonological transformations in the post-manifestation period (a clinical-etholo... by M. Ye. Khomitskyi

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Clostridioides difficile ribotypes 001 and 126 were predominant in Tehran healthcare settings from 2004 to 2018: a 14-year-long cross-sectional study by Masoumeh Azimirad, Marcela Krutova, Abbas Yadegar, Shabnam Shahrokh, Meysam Olfatifar, Hamid Asadzadeh Aghdaei, Warren N. Fawley, Mark H. Wilcox, Mohammad Reza Zali

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Fuzzy Reliability Optimization for 2-Hub Center Problem with Cluster-Based Policy and Application in Cross-Border Supply Chain Network Design Using TS Algorithm by Chenyi Yan, Xifu Wang, Kai Yang

“…This problem differs from the classical HLP in the sense that (i) the hub-and-spoke (H&S) network is grouped into two clusters in advance based on their cross-border geographic features, and (ii) a fuzzy reliability optimization approach based on the possibility measure is developed. …”
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Structural and functional changes in the heart and clinical features of heart failure with preserved left ventricular ejection fraction in patients after myocardial infarction, com... by V. D. Syvolap, Ya. V. Zemlyaniy

“…Given the important role of diastolic dysfunction in the formation of heart failure in postinfarction patients with concomitant arterial hypertension, the mechanisms of its impact on clinical features and structural-functional changes of the heart is an actual problem. …”
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