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group has implemented state-of-the-art deep learning for underwater communications; deep learning models underwater environment based on real data. Our preliminary study shows that state-of-the-art deep
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to frailty assessment could be beneficial. Manual measurements from CT scans, however, are labor-intensive and subject to observer variability. The advent of deep learning in medical imaging presents a
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well as children. To identify the specific mechanisms through which multisensory stimulation enhances motor learning, working memory, and auditory selective attention. To compare the effectiveness of different
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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stigma and do not reify differences. Failing to apply what we have learned from this approach risks us failing to achieve virtual elimination for all. Aims This research project aims to identify pathways
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. If left unacknowledged or untreated this can lead to stress, anxiety, depression, or post-traumatic stress disorder among healthcare workers. Clinical debriefing enhances team-based learning and effective
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skilled human operators must acquire and integrate information from multiple distributed sources (e.g., physical and informational environments) to coordinate cognitively (e.g., decision-making) and
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structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply
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also need to be comfortable with online video software, and to learn and deliver the 4Ds with close supervision, review its empirical foundations, and understand and apply its theoretical principles
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. The specific research areas we will explore are + Adaptive scientific deep learning methods for mathematical physics problems governed by partial differential equations (domain decomposition, adaptive quadrature