Search Results - driven training-based optimization

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  1. Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes

    Published 2023
    “…Through the application of scientific knowledge and advanced computer-based methods in conjunction with physical models on a level unrealized in the past, technologies and methods are promoted, which can be used for planning and optimization of manufacturing systems and processes. …”
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  2. Sensor Systems for Gesture Recognition II

    Published 2023
    Subjects: “…training effect…”
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  3. Inteligencia artificial como impulsora de la transformación digital en el marketing de PYMES latinoamericanas (Avance investigativo) by Soto-Ortigoza, Maricarmen, Labrador-Ballesteros, Lisandro

    Published 2025
    “…The findings reflect a growing adoption of AI-based solutions, particularly in customer experience personalization, campaign automation, and budget optimization through predictive analytics. …”
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  4. Algorithms for PID Controller 2019

    Published 2026
    “…Alekseeva proposed a PD Steering Controller utilizing the predicted position on tracks for autonomous vehicles driven on slippery roads. A Neural PID controller for Unmanned Aerial Vehicles was presented by Avila et al., based on a Multilayer Perceptron trained with an Extended Kalman Filter. …”
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  5. Computer-Aided Manufacturing and Design

    Published 2021
    Subjects: “…simulation-based design optimization…”
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  6. Optimization of Exercise Countermeasures for Human Space Flight – Lessons from Terrestrial Physiology and Operational Implementation

    Published 2021
    “…Innovations in CM programs have been largely engineering-driven, with new hardware providing capability for new modes of exercise and a wider range of exercise protocols, which, in turn, has facilitated the transfer of traditional, but effective, terrestrial concepts based around high frequency resistance (multiple-set, multiple repetition) and mediumintensity continuous aerobic training. …”
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  7. Deep Learning-Based Machinery Fault Diagnostics

    Published 2022
    Subjects: “…belief rule base…”
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