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  1. 501

    Radial Basis Neural Network Construction and Training for Telegraph-Code Structure Reception by D. A. Chistoprudov, V. A. Kozlov, M. R. Bibarsov, D. A. Potyagov, N. Ya. Karasik

    Published 2017-12-01
    “…It is shown that the procedure for the classifier developing, k \ including selection of information signs and their amount, as well as code distance, is not of general nature and is to be performed for each set of recognizable symbols. It is stated that to generalize the received alphanumeric blocks it is necessary to use the second decision contour where current information on the reception and information on the duration of the observed symbol is supplied, which is the subject of further research.…”
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  2. 502

    Revolutionizing Concrete Bridge Assessment: Implementing Nondestructive Scanning for Transformative Evaluation by Wael Zatar, Felipe Mota Ruiz, Hien Nghiem

    Published 2024-12-01
    “…Utilizing more than one longitudinal profile line was highly beneficial in accurately assessing prestressed concrete box beams. This research helps redefine bridge evaluation by precisely finding rebar spacing, concrete cover, and other internal characteristics. …”
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    Exploring interconnections among atoms, brain, society, and cosmos with network science and explainable machine learning by Daniele Caligiore, Daniele Caligiore, Anna Monreale, Anna Monreale, Giulio Rossetti, Angela Bongiorno, Giuseppe Fisicaro

    Published 2025-06-01
    “…For instance, if common aspects of criticality in neuroscience and cosmology are identified, an algorithm trained on brain data could be repurposed to detect critical states in cosmic systems, even with limited cosmic data. …”
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    Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning by Pablo Quijano Velasco, Kedar Hippalgaonkar, Balamurugan Ramalingam

    Published 2025-01-01
    “…Herein, we review the currently used state-of-the-art high-throughput automated chemical reaction platforms and machine learning algorithms that drive the optimization of chemical reactions, highlighting the limitations and future opportunities of this new field of research.…”
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  13. 513

    RRT-guided experience generation for reinforcement learning in autonomous lane keeping by Tamás Bécsi

    Published 2024-10-01
    “…This paper investigates the effectiveness of classic exploration strategies in RL algorithms, particularly focusing on their ability to cover the state space and provide a quality experience pool for learning agents. …”
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    An Experimental Test Bed for Developing High-Rate Structural Health Monitoring Methods by Bryan Joyce, Jacob Dodson, Simon Laflamme, Jonathan Hong

    Published 2018-01-01
    “…While high-rate SHM methods are an area of current research, there are no benchmark experiments for validating these algorithms. …”
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    Remaining Useful Life Estimation through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables by Sergio Cofre-Martel, Enrique Lopez Droguett, Mohammad Modarres

    Published 2021-01-01
    “…For the past decade, researchers have explored the application of deep learning (DL) regression algorithms to predict the system’s health state behavior based on sensor readings from the monitoring system. …”
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