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Energy demand prediction for generation management
We developed a deep reinforcement learning model to assist energy producers in scheduling maintenance and minimizing operating costs.
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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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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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