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  1. 1221
  2. 1222

    New food risks in the contemporary globalizing society by E. A. Buzykina

    Published 2025-04-01
    “…Global food shortages, hunger and food security have become key issues on the global agenda. In 2019, the World Economic Forum (WEF) presented the Global Risks Report based on a survey of almost a thousand experts on the perception of global risks. …”
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    Article
  3. 1223

    Scientometric analysis of the development of domestic dissertation research containing the category of «continuous education» in their titles by P. P. Pivnenko, T. N. Poddubnaya, N. P. Vitenko

    Published 2025-03-01
    “…The research methodology is based on the use of a set of methods of scientific knowledge: analysis, classification, systematization, comparison, generalization. …”
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    Article
  4. 1224

    Fall Feature Simulation and Wi-Fi Sensing Dataset Construction Based on Time-domain Digital Coding Metasurface by Shaonan CHEN, Jiaming GU, Chao XU, Yimiao SUN, Siran WANG, Zhanye CHEN, Shuo LIU, Huidong LI, Junyan DAI, Yuan HE, Qiang CHENG

    Published 2025-08-01
    “…Particularly in monitoring abnormal behaviors, such as falls, traditional methods rely on repeated human experiments, which not only poses safety risks but also raises ethical concerns. To address these issues, this paper proposes a time-domain digital coding metasurface-assisted data acquisition method. …”
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  5. 1225
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    Current Subjects in Russian Historical Research: Reflection in the LBC by D. O. Rusin

    Published 2024-01-01
    “…The first issue of the modernized Medium Tables of the Library Bibliographic Classification (LBC) – the national classification system of the Russian Federation – was published in 2001. …”
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  7. 1227

    Multivariate analysis of Côte d’Ivoire consumer price index: linear, regularized and generalized regression approaches by Aubin Yao N’Dri, Auguste Konan Kouakou, Amadou Kamagaté, Ouagnina Hili

    Published 2025-07-01
    “…This paper seeks to explain this issue using Principal Component Analysis (PCA), Hierarchical Ascending Classification (HAC), as well as linear, regularized (Lasso, Ridge, Elastic Net), and generalized regression. …”
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  8. 1228
  9. 1229

    AVIATION SECURITY AS AN OBJECT OF MATHEMATICAL MODELING by L. N. Elisov, N. I. Ovchenkov

    Published 2017-06-01
    “…The formalization task is determined by the modern issue of providing aviation security. Aviationsecurity in modern systems is based upon organizational standard of security control. …”
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  10. 1230
  11. 1231

    Enhanced Android Malware Detect Models Based on Explainable Generative Adversarial Networks by Shamma Alshebli, Hyeran Mun, Deepak Puthal, Mohamed Jamal Zemerly, Luigi Martino, Ernesto Damiani, Chan Yeob Yeun

    Published 2025-01-01
    “…Recent studies have leveraged artificial intelligence (AI) techniques for malware detection and classification. However, applying such approaches, particularly deep learning (DL) techniques, to mobile malware detection poses significant challenges. …”
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    Article
  12. 1232

    Aspect-Based Sentiment Analysis Through Graph Convolutional Networks and Joint Task Learning by Hongyu Han, Shengjie Wang, Baojun Qiao, Lanxue Dang, Xiaomei Zou, Hui Xue, Yingqi Wang

    Published 2025-03-01
    “…In order to resolve these issues, this research suggests a unified framework model through joint task learning, named MTL-GCN, to simultaneously perform aspect term extraction and sentiment polarity classification. …”
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    Article
  13. 1233

    Simplified white shark with centroid DBN for urban waste management in smart cities by Abhijeet R. Raipurkar, Manoj B. Chandak, Sunita G. Rawat

    Published 2024-12-01
    “…Sanitation is becoming more crucial as urban populations rise, making waste management a crucial issue in smart cities. Accurate waste material identification and classification are necessary because the waste items vary as they deteriorate. …”
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  14. 1234

    Semi-Supervised Machine Learning for Fault Detection and Diagnosis of a Rooftop Unit by Mohammed G. Albayati, Jalal Faraj, Amy Thompson, Prathamesh Patil, Ravi Gorthala, Sanguthevar Rajasekaran

    Published 2023-06-01
    “…This paper compares three different approaches for fault classification for a real-time operating RTU using semi-supervised learning, achieving accuracies as high as 95.7% using few-shot learning.…”
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  15. 1235
  16. 1236

    MMS-EF: A Multi-Scale Modular Extraction Framework for Enhancing Deep Learning Models in Remote Sensing by Hang Yu, Weidong Song, Bing Zhang, Hongbo Zhu, Jiguang Dai, Jichao Zhang

    Published 2024-11-01
    “…However, due to the complexity of remote sensing images, deep learning models face practical challenges in the preprocessing stage, such as incomplete extraction of large-scale geographic features, loss of fine details, and misalignment issues in image stitching. To address these issues, this paper introduces the Multi-Scale Modular Extraction Framework (MMS-EF) specifically designed to enhance deep learning models in remote sensing applications. …”
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  17. 1237

    Unobtrusive Sleep Posture Detection Using a Smart Bed Mattress with Optimally Distributed Triaxial Accelerometer Array and Parallel Convolutional Spatiotemporal Network by Zhuofu Liu, Gaohan Li, Chuanyi Wang, Vincenzo Cascioli, Peter W. McCarthy

    Published 2025-06-01
    “…For example, improper sleep postures may lead to musculoskeletal issues, respiratory disturbances, and even worsen conditions like sleep apnea. …”
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  18. 1238

    Offensive Language Detection in Turkish Language by Using NLP by Rüştü Murat Demirer, Bekir Furkan Kesgin

    Published 2025-02-01
    “…In this thesis, our goal is to develop methods for automatic detection of offensive language in social media. Multiple classification algorithms, including Multinomial Naive Bayes, Gaussian Naive Bayes, SVM, Logistic Regression, and LSTM, are implemented and evaluated. …”
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  19. 1239

    Passos para implantação de sistemas de previsão de demanda: técnicas e estudo de caso by Fernando R. Pellegrini, Flávio S. Fogliatto

    Published 2001-06-01
    “…Our procedure is implemented in six main steps, covering issues such as product classification and the analysis of some software available to proceed with the model calculation. …”
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