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of diverse, deformable textiles at cycle times below one second, while hyperspectral, NIR, Raman, and RGB sensors feed an edge-compute AI pipeline for real-time decision making that routes each item
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. This project will explore recent advancements in implicit neural representations, which have demonstrated effective neural network activations for computer vision. Our goal is to design new PINN architectures
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interoperability across complex assets and systems. The research will explore how common data architectures can be used to enhance semantic understanding and enable better decision-making across system-of-systems
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Statistics Economics Management Science & Engineering Mathematics (more...) Physics Computer Science and Electrical
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build the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems
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design, synthesize, and characterize hydrogel-ceramic nanocomposites and architectured metamaterials for bone replacement. During the course of the project, you will work in a multidisciplinary team
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collaboratively on a multidisciplinary team. • Synthesize and manufacture unique design architectures comprised of coatings and bulk materials using a variety of manufacturing methods. Materials synthesis may
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build the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems
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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
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changing environment will affect the stability of quick clays, and the probability of triggering catastrophic failures. We offer access to unique experimental facilities and computational tools developed by