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  1. 27521

    A spiking neural network model of model-free reinforcement learning with high-dimensional sensory input and perceptual ambiguity. by Takashi Nakano, Makoto Otsuka, Junichiro Yoshimoto, Kenji Doya

    Published 2015-01-01
    “…Spiking neural networks provide a theoretically grounded means to test computational hypotheses on neurally plausible algorithms of reinforcement learning through numerical simulation. …”
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  2. 27522

    Just a Single-Layer CNN for Stochastic Modeling: A Discriminator-Free Approach by Evangelos Rozos

    Published 2025-06-01
    “…The model is applied to a case study involving measured flow velocity time series and evaluated against traditional stochastic schemes designed for both Markovian and Hurst–Kolmogorov processes. Results show that the CNN-based approach not only offers computational simplicity but also outperforms conventional methods in preserving key statistical characteristics of the observed data.…”
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  3. 27523

    Note on the shape-preservation of a new class of Kantorovich-type operators via divided differences by Turhan Nezihe

    Published 2025-03-01
    “…Shape-preserving approximation is a significant approximation method that has many application areas, such as computer-based geometric design, image processing, geodesy, chemistry, and robotics. …”
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  4. 27524

    Gradient enriched linear-elastic crack tip stresses to estimate the static strength of cracked engineering ceramics by Harm Askes, Luca Susmel

    Published 2013-07-01
    “…Given both the geometry of the cracked component being assessed and the value of the material length scale, the magnitude of the corresponding gradient enriched linear-elastic crack tip stress is then finite and it can be calculated by taking full advantage of those computational methods specifically devised to numerically implement gradient elasticity. …”
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  5. 27525

    PAN2HGENE-tool for comparative analysis and identifying new gene products. by Mônica Silva de Oliveira, Jorianne Thyeska Castro Alves, Pablo Henrique Caracciolo Gomes de Sá, Adonney Allan de Oliveira Veras

    Published 2021-01-01
    “…However, to understand the evolutionary processes of these genes, comparative analysis, which is an important tool for annotation, is required. …”
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  6. 27526

    Assessment of the variability of unidirectional prepregs at multiple scales by Silvia Gomarasca, S. M. A. Hossein, Ran Tao, Benedikt Boos, Christoph Queck, Daniel Peeters, Bilim Atli-veltin, Martin Gurka, Clemens Dransfeld

    Published 2025-02-01
    “…  Understanding the microstructural variability in unidirectional composite prepreg tapes is relevant to investigating mechanisms of tape microstructure formation, their impact on its processability and the mechanical performance of the final composite part. …”
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  7. 27527

    A fair dividend approach for aggregating wearable sensor data to improve electronic health records. by Turki M Alanazi, Noha Alduaiji, Chahira Lhioui, Rim Hamdaoui, Somia Asklany, Monia Hamdi, Ali Elrashidi, Ghulam Abbas

    Published 2025-01-01
    “…The proposed approach outperforms baseline methods in access time, computational complexity, data utilization, processing time, aggregation ratio, and error rate by 10.18%, 5.19%, 10.57%, 8.48%, and 10.42%, respectively. …”
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  8. 27528

    Artificial intelligence in primary aldosteronism: current achievements and future challenges by Yisi Xu, Benjin Liu, Xuqi Huang, Xudong Guo, Ning Suo, Shaobo Jiang, Hanbo Wang

    Published 2025-08-01
    “…To translate technical advances into clinical practice, the field requires more reliable AI models with clear decision-making processes and rigorous multicenter validation studies. …”
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  9. 27529

    Digital technologies, sustainable lifestyle, and tourism: How digital nomads navigate global mobility? by Francisco Javier S. Lacárcel

    Published 2025-05-01
    “…The data were analyzed using Latent Dirichlet Allocation (LDA) topic modeling, combined with Computer-Aided Text Analysis (CATA), and Natural Language Processing (NLP) techniques. …”
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  10. 27530

    Classification of CT scan and X-ray dataset based on deep learning and particle swarm optimization. by Honghua Liu, Mingwei Zhao, Chang She, Han Peng, Mailan Liu, Bo Li

    Published 2025-01-01
    “…However, traditional image processing methods may lead to high false positive rates, which is unacceptable in disease monitoring and early warning. …”
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  11. 27531

    Semantic scope ambiguity in gapping and non-constituent coordination: a generative analysis by Eman Al Khalaf

    Published 2024-12-01
    “…This result has implications on how syntactic chunks are produced and processed in the human brain, which can in turn benefit fields, such as psycholinguistics, neurolinguistics, or even computational linguistics.…”
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  12. 27532
  13. 27533
  14. 27534
  15. 27535

    EEG-Based Micro-Expression Recognition: Flexible Brain Network Reconfiguration Supporting Micro-Expressions Under Positive Emotion by Chen J, Zhao X, Xiong Z, Liu G

    Published 2025-04-01
    “…Key hub regions supporting positive micro-expressions include the bilateral SFG (inhibitory control), left OFC and TP (emotion processing), and left Broca’s area (language processing).Keywords: macro-expressions, neutral expressions, electroencephalography, EEG, graph theory, functional connectivity…”
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  16. 27536

    Successful laparoscopic repair for reduction en masse of infantile inguinal hernia: a case report of this rare condition by Keisuke Yano, Koshiro Sugita, Koji Yamada, Mayu Matsui, Waka Yamada, Chihiro Kedoin, Masakazu Murakami, Toshio Harumatsu, Shun Onishi, Takafumi Kawano, Mitsuru Muto, Satoshi Ieiri

    Published 2022-09-01
    “…The hernia sac was not associated with the previously ligated processes vaginalis, which had been closed by a previous Potts’ procedure. …”
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  17. 27537

    Application of Governance in spatial scales by hassan kamran

    Published 2022-06-01
    “…Political geography focuses on the study of phenomena, processes and political currents, and emphasizes their geographic and spatial effects. …”
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  18. 27538

    Deep source separation of overlapping gravitational-wave signals and nonstationary noise artifacts by Niklas Houba

    Published 2025-08-01
    “…In this work, we present a deep learning-based framework for blind source separation in LISA data, employing an encoder-decoder architecture commonly used in digital audio processing to isolate individual signals within complex mixtures. …”
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  19. 27539
  20. 27540