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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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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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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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