Showing 1,601 - 1,620 results of 11,103 for search 'features problems', query time: 0.12s Refine Results
  1. 1601

    Unveiling key pathomic features for automated diagnosis and Gleason grade estimation in prostate cancer by Valentina Brancato, Mario Verdicchio, Carlo Cavaliere, Francesco Isgrò, Marco Salvatore, Marco Aiello

    Published 2025-07-01
    “…Focusing on the problem of prostate cancer (PCa) diagnosis and grading, this study aims to detect which are the most discriminant features for distinguishing malignant from non-malignant tissue and Gleason patterns, leaving the evaluation of models’ classification performances as a secondary goal. …”
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  2. 1602

    Modern features of acute bronchitis therapy. The effect and advantages of the dispersible form of antibacterial drugs by D. S. Sukhanov, V. S. Maryushkina, D. Y. Azovtsev

    Published 2022-03-01
    “…Indications for the appointment of macrolides, features and advantages of the clinical use of azithromycin, as well as its non-antibacterial properties are considered. …”
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  3. 1603

    A Novel TLS-Based Fingerprinting Approach That Combines Feature Expansion and Similarity Mapping by Amanda Thomson, Leandros Maglaras, Naghmeh Moradpoor

    Published 2025-03-01
    “…Influence was taken from the chemistry domain, where the problem of high-dimensional similarity in chemical fingerprints is often encountered. …”
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  4. 1604

    A novel feature extractor based on constrained cross network for detecting sleep state by Chenlei Tian, Fei Song

    Published 2025-07-01
    “…This study explores an improved feature extractor based on the Constrained Cross Network to enhance the accuracy of the sleep-wake binary classification problem. …”
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  5. 1605

    MTFSR: Multitemporal and Spatial Feature Reconstruction Denoising Network for Remote Sensing Change Detection by YeKai Cui, Peng Duan, Jinjiang Li

    Published 2025-01-01
    “…Meanwhile, a spatial attention mechanism and discrete cosine transform (DCT) are incorporated to further improve the spatial expression and frequency domain perception of the features. Then, multiscale filtering is applied to accurately align the frequency and spatial domains, effectively solving the spatiotemporal feature inconsistency problem. …”
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  6. 1606

    EXPERIMENTAL STUDY OF IMMUNOMODULATORY FEATURES OF CEREBROSPINAL FLUID IN CASE OF BACTERIAL PURULENT MENINGITIS IN CHILDREN by L. A. Alekseeva, N. V. Skripchenko, G. F. Zheleznikova, N. E. Monakhova, A. A. Zhirkov, T. V. Bessonova

    Published 2017-12-01
    “…Pediatric Research and Clinical Center of Infectious Diseases under the Federal Medical Biological Agency, Saint Petersburg, Russia Investigation of the role of cerebrospinal fluid components in the processes of patho- and sanogenesis of central nervous system diseases is a fundamental problem of medicine and biology. The work aim was to study immunomodulatory features of cerebrospinal fluid in case of bacterial purulent meningitis (BPM) in children by an in vitro experiment.There were studied immunomodulatory features of high-molecular and low-molecular fractions of cerebrospinal fluid of 33 children with bacterial purulent meningitis of different etiology and 12 children without meningitis by phytohemagglutinin (PHA)-stimulated reaction of leukocyte blast transformation. …”
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  7. 1607
  8. 1608

    Psycholinguistic Features of Students’ Acquisition of Visual-Semantic Image of a Hieroglyph in Studying Japanese by Любов Долинська, Юлія Наумова, Наталія Шевченко

    Published 2020-04-01
    “…Results of theoretical explorations on the psychological features of the problem of a personality’s acquisition of foreign languages, particularly, hieroglyphic, have been presented. …”
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  9. 1609

    Cross-Level Adaptive Feature Aggregation Network for Arbitrary-Oriented SAR Ship Detection by Lu Qian, Junyi Hu, Haohao Ren, Jie Lin, Xu Luo, Lin Zou, Yun Zhou

    Published 2025-05-01
    “…Considering the multi-scale nature of ship objects, we then resort to the idea of self-attention to develop a cross-level adaptive feature aggregation (CLAFA) mechanism, which can not only alleviate the semantic gap between cross-level features but also improve the feature representation capabilities of multi-scale ships. …”
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  10. 1610

    Technological Features of Manufacturing of the Golden Horde Non-Glazed Ceramics from Bagaevka Settlement by Igor V. Volkov, Leonard F. Nedashkovsky

    Published 2024-10-01
    “…These are smaller vessels (mainly jars) with similar features of pottery paste. The pottery of this group is more often covered with red-brown engobe, as well as reliably local Ukek sphere-cone vessels. …”
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  11. 1611

    Dual-environment feature fusion-based method for estimating building-scale population distributions by Guangyu Liu, Rui Li, Jing Xia, Zhaohui Liu, Jing Cai, Huayi Wu, Mingjun Peng

    Published 2024-11-01
    “…However, the discontinuity and strong spatial heterogeneity of research units at the building scale make it challenging to fuse multi-source geographic data, which causes significant errors in population estimation. To address this problem, this study proposes a method for population estimation at the building scale based on Dual-Environment Feature Fusion (DEFF). …”
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  12. 1612
  13. 1613

    Features of postconcussion symptoms recovery after traumatic brain injury among military personnel by A. V. Shvets, A. Yu. Kikh, I. A. Lukianchuk

    Published 2019-10-01
    “…Traumatic brain injuries due to hostilities inEastern Ukrainein 2017 accounted for 30.8% of all mechanical combat damage and injuries and are an important problem because of postconcussion syndrome manifestation in the long-term period. …”
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  14. 1614

    Analysis of informativeness of features of classification of dangerous weather events based on radar observation results by O. V. Vasiliev, E. S. Boyarenko, A. N. Savelyev, N. V. Gorbachev

    Published 2024-07-01
    “…Thus, the expansion of the feature space due to atmospheric turbulence is justified in the problem under consideration. …”
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  15. 1615

    A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results by Bendiaf Messaoud, Khelifi Hakima, Mohdeb Djamila, Belazzoug Mouhoub, Saifi Abdelhamid

    Published 2025-03-01
    “…As a multiclass classification problem with three classes, each match can have three possible outcomes. …”
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  16. 1616
  17. 1617

    Gradient Boosting Feature Selection for Integrated Fault Diagnosis in Series-Compensated Transmission Lines by Rab Nawaz, Abdul Wadood, Khawaja Khalid Mehmood, Syed Basit Ali Bukhari, Hani Albalawi, Aadel Mohammed Alatwi, Muhammad Sajid

    Published 2025-01-01
    “…By optimizing each phase of data processing from feature extraction to model learning, the proposed system effectively addresses fault detection, classification, and localization as a multi-classification problem. …”
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  18. 1618

    THE FEATURES OF THE FACE SKIN CONSTRUCTION THAT INFLUENCE ON THE FORMATION OF CICATRICAL TISSUES DURING SUGICAL INTERVENTIONS by K.P. Lokes, D.S. Avetikov, S.O. Stavitsky, O.O. Rozkolupa, N.S. Lutsenko

    Published 2019-12-01
    “… Formation of pathological scars of maxillofacial localization after surgery is a significant and widespread problem of modern surgical stomatology and maxillofacial surgery. …”
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  19. 1619

    The features of the human mesenteric lymph node histogenesis in the first half of the prenatal period of ontogenesis by M. I. Dub, , E. G. Alieva

    Published 2013-08-01
    “…The purpose: To study the features of human mesenteric lymph node development in the first half of the prenatal period of ontogeny. …”
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  20. 1620

    Morphological features of changes in peripheral olfactory structures in SARS-COV-2 coronavirus infection by I. S. Shponka, V. I. Popovych, О. М. Usova, O. O. Bondarenko, Yu. V. Haman, H. Z. Shchuruk

    Published 2021-12-01
    “…Coronavirus infection caused by the SARS-CoV-2 virus is an extremely important and urgent problem of modern medicine. It spreads quickly, has a high probability of a severe course and a large number of critical complications in patients from the risk group. …”
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