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  1. 301

    Postresuscitation Changes in the Brain at the Level of Neuronal Populations: Patterns and Mechanisms by M. Sh. Avrushchenko, V. V. Moroz, I. V. Ostrova

    Published 2012-08-01
    “…Key words: postresuscitation period; neuronal populations; general patterns of neuronal morphological changes; individual, typological, and sex features.…”
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    Article
  2. 302

    An explainable EEG epilepsy detection model using friend pattern by Turker Tuncer, Sengul Dogan

    Published 2025-05-01
    “…To present this XFE model, a feature extraction function, termed friend pattern (FriendPat), has been introduced. …”
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    Article
  3. 303

    Automatic diagnosis of lower back pain using gait patterns by Chandrasen Pandey, Neeraj Baghel, Malay Kishore-Dutta, Carlos M. Travieso González

    Published 2022-11-01
    “…The features alone resulted in higher leave-one-out classification accuracy (LOOCV) 92%. …”
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  4. 304

    Prevailing patterns of the sound speed distributions in the environment of the Southern Baltic by G. GRELOWSKA

    Published 2000-01-01
    “…The paper contains the results of experimental and theoretical research aimed at elaborating characteristic features of the acoustic conditions in the Southern Baltic. …”
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  5. 305

    Vision Transformer and Brain Connectivity Patterns for Estimating Cognitive States by Debashis Das Chakladar

    Published 2025-01-01
    “…This work combines binarization of EEG connectivity features, cognitive state classification using the vision transformer (ViT), and identifying graphical connectivity patterns for each cognitive state of the mental arithmetic task. …”
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    Mining behavior pattern of mobile malware with convolutional neural network by Xin ZHANG, Weizhong QIANG, Yueming WU, Deqing ZOU, Hai JIN

    Published 2020-12-01
    “…The features extracted by existing malicious Android application detection methods are redundant and too abstract to reflect the behavior patterns of malicious applications in high-level semantics.In order to solve this problem,an interpretable detection method was proposed.Suspicious system call combinations clustering by social network analysis was converted to a single channel image.Convolution neural network was applied to classify Android application.The model trained was used to find the most suspicious system call combinations by convolution layer gradient weight classification activation mapping algorithm,thus mining and understanding malicious application behavior.The experimental results show that the method can correctly discover the behavior patterns of malicious applications on the basis of efficient detection.…”
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    Manufacture of consumable patterns using additive sheet lamination technology by N. K. Tolochko, P. V. Avramenko, V. B. Kravtsov, A. M. Khartanovich, D. I. Kopchik

    Published 2025-01-01
    “…The advantages and disadvantages of different types of additive technologies used for direct and indirect manufacturing of investment patterns are considered. The features of producing wax and paraffin investment patterns using steel molds manufactured using the additive technology of sheet lamination are experimentally studied. …”
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    Energy storages on the ferroelectric microstructures with transformation and nano vortex pattern by Han Zheng, Dongxu Pan, Zhengfa Li

    Published 2025-03-01
    “…The diagrammatic sketches of transformation into nanodomain and vortex pattern are designed, and their respective formulas of total capacitances and energy densities are derived with crucial structural features. …”
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    Article
  16. 316

    Benefits of Using Design Patterns on Microcontrollers in Implemented IoT Applications by Marek Babiuch, Petr Foltynek

    Published 2024-12-01
    “…It emphasizes a modular and clean design that increases development efficiency and enables easy deployment of new features or integration of new technologies, such as new types of sensors, upgraded development boards, or improved development tools and frameworks. …”
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    Article
  17. 317

    Clustering-Based Pattern Abnormality Detection in Distributed Sensor Networks by Seok-Woo Jang, Gye-Young Kim, Siwoo Byun

    Published 2014-04-01
    “…The method then analyzes the visualized images and extracts linear and/or high brightness patterns, which represent traffic attacks. Subsequently, it groups the ports using an improved clustering algorithm, allowing an artificial neural network to learn the extracted features and to automatically detect and classify normal traffic data, DDoS attacks, DoS attacks, or Internet Worms. …”
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    Article
  18. 318

    Pattern Design of Ethnic Clothing Based on Stretchable Nanofiber Fabrics by Xueqing Lu, Jing Wen, Xiaohua Shao

    Published 2022-01-01
    “…Through the influence of image rotation, scale change, noise interference, and other factors, a method for extracting features of ethnic clothing patterns based on image rotation, scale change, and noise interference is proposed. …”
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  19. 319

    Effects of the COVID-19 pandemic: new patterns of consumer behavior by E. Karpunina, N. Gubernatorova, T. Sobolevskaya

    Published 2022-04-01
    “…The scientific novelty consists in the study of the peculiarities of consumer behavior of Russians, in assessing its changes under the influence of the effects of the pandemic, as well as in justifying measures to reduce the time of adaptation of producers to new behavioral patterns. The article analyzes the structure of household consumption in Russia in the period 2014–2019, and systematizes the features of consumer behavior of the Russian population in the pre-coronavirus period. …”
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