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Radial Basis Neural Network Construction and Training for Telegraph-Code Structure Reception
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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Revolutionizing Concrete Bridge Assessment: Implementing Nondestructive Scanning for Transformative Evaluation
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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503
Decision Support System for Diagnosing Underwater Electrical Cables
Published 2024-11-01Get full text
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Exploring interconnections among atoms, brain, society, and cosmos with network science and explainable machine learning
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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506
Development of Engineering Models of Nanosatellites for Student Training
Published 2022-10-01Get full text
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Collocations with the Nomination ‘‘Russia’’ in the Corpus of Finno-Ugric Internet Travelogues
Published 2025-03-01Get full text
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The Use of LiDAR Terrain Data in Characterizing Surface Roughness and Microtopography
Published 2013-01-01Get full text
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511
Automated Wavelength Alignment in a 4 × 4 Silicon Thermo-Optic Switch Based on Dual-Ring Resonators
Published 2018-01-01Get full text
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512
Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning
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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513
RRT-guided experience generation for reinforcement learning in autonomous lane keeping
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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Analysis of the Interaction of Robots as Part of a Robotic System for Biomaterial Aliquotation
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An Experimental Test Bed for Developing High-Rate Structural Health Monitoring Methods
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
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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