Using Convolutional Neural Networks to Develop State-of-the-Art Flotation Froth Image Sensors
Using Convolutional Neural Networks to Develop State-of-the-Art Flotation Froth Image Sensors is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include image, convolutional neural network, deep learning, artificial intelligence, state, electrical impedance tomography, computer vision, artificial neural network, retraining, set, transfer of learning, pattern recognition, and computer science. This is demonstrated in a case study involving an image data set from an industrial platinum group metals plant.