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Minimizing radiation exposure in construction projects
We developed a custom LSTM neural network to predict radiation exposure of construction workers in sensitive sites, improving shift scheduling and safety compliance.
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Identifying Potential Security Access Violations
We developed a semi-supervised neural network to identify anomalous security access card swipes in a large corporation with numerous facilities throughout the world, previously hidden secure access violations.
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Optimizing product placements in print flyers to maximize revenue
We combined a convolutional neural network with a custom region proposal network that provides key insights on how to maximize revenue with flyer layout, with a double-digit return expected within the first two years.
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