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, and labor shortages. Currently, most animal monitoring and inspections are performed visually by humans, which is time-consuming and error-prone. Computer vision, leveraging recent advances in deep
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impacts on animal performance. Early detection of these diseases remains a challenge, as it still relies heavily on human observation, which is time-consuming and prone to error. Technologies such as
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look into systems in the small and how we can prepare them to withstand and operate safely and securely through accidental faults and targeted cyberattacks and how large scale constellations can achieve
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stacking error and removes the options for easy disassembly for repair, replace or recycle. In this project modification of the cell end cap design is to be investigated through FE analysis, prototype build
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, introduces human error, and creates line-of-sight occlusions, disrupting surgical workflow. This interdisciplinary project aims to overcome these challenges by developing a vision-based marker-less navigation
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challenges in energy, mobility, and sustainability. Traditional trial-and-error methods in materials design are often too slow, costly, and inefficient to cope with the increasing complexity of performance and
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outages and degradations become more severe. Technical failures, unplanned excessive load, design and implementation flaws in components, human error, and malicious intent all have the potential
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look into systems in the small and how we can prepare them to withstand and operate safely and securely through accidental faults and targeted cyberattacks and how large scale constellations can achieve
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communication Compression of quantum data under unreliable entanglement assistance Joint compression and error correction for robust communication in the quantum-classical internet Quantum embeddings for machine
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challenges in energy, mobility, and sustainability. Traditional trial-and-error methods in materials design are often too slow, costly, and inefficient to cope with the increasing complexity of performance and