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  1. Chapter Enhancing the Realism of Virtual Construction Safety Training: Integration of Real-Time Location Systems for Real-World Hazard Simulations Autor Speiser, Kilian, Hong, Kepeng, Teizer, Jochen

    Vydáno 2024
    “…However, further work is required to create more responsive learning environments where the equipment follows real trajectories but also responds intelligently to the trainees' actions. …”
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  2. Chapter The Value of Extended Reality Techniques to Improve Remote Collaborative Maintenance Operations: A User Study Autor Richard, Paul, Coupry, Corentin, Bigaud, David, Noblecourt, Sylvain, Baudry, David

    Vydáno 2024
    “…However, with the increased complexity and automation of the building, maintenance operations are likely to become more complex and may require expert intervention. …”
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  3. Algorithms for Biomedical Image Analysis and Processing

    Vydáno 2024
    “…The widespread use of biomedical images has increased our need for advanced image processing and analysis algorithms. As imaging technologies evolve, becoming more complex and producing larger volumes of data, the development of efficient, accurate, and reliable algorithms becomes essential. …”
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  4. Advances in Explainable Artificial Intelligence

    Vydáno 2024
    “…However, in many applications, it is crucial for stakeholders to grasp the reasoning behind the system's decisions to utilize them more effectively. This necessity has prompted extensive research efforts aimed at enhancing the transparency and interpretability of ML algorithms, forming the field of explainable Artificial Intelligence (XAI). …”
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  5. Machine Learning Technology in Biomedical Engineering

    Vydáno 2024
    “…By applying machine learning algorithms to large datasets of biomedical information, researchers and healthcare professionals can gain new insights into disease mechanisms, identify new biomarkers for disease, and develop more effective treatments. …”
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  6. Deep Learning and Transformers’ Methods Applied to Remotely Captured Data

    Vydáno 2024
    “…Most state-of-the-art techniques today are based on deep neural networks or the more recently proposed transformers. This progress has sparked innovations in technologies, algorithms, and approaches and led to results that were unachievable until recently. …”
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  7. Material Modeling in Multiphysics Simulation

    Vydáno 2024
    “…At present, a huge amount of commercial code and a huge number of new algorithms have been developed to perform multiphysics simulations; nevertheless, the availability of a suitable material model often presents a bottleneck in obtaining reliable results. …”
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  8. Advanced Structures, Fault Diagnosis and Tolerant Control of Permanent Magnet Synchronous Motors

    Vydáno 2024
    “…Furthermore, the integration of advanced diagnostic and control algorithms enables continuous monitoring and optimization of PMSM performance, facilitating the transition towards more intelligent and autonomous electromechanical systems.…”
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  9. Sensors Data Processing Using Machine Learning

    Vydáno 2024
    “…Together, we embark on a journey to unlock the potential of effective data processing that involves transforming data from a given format into a more usable and desirable form, rendering them more meaningful and informative. …”
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