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Journal of Flow Visualization and Image Processing • Vol 30 • No 3
CONVOLUTIONAL NEURAL NETWORKS FOR PROBLEMS IN TRANSPORT PHENOMENA: A THEORETICAL MINIMUM
November 2022 • Arjun Bhasin, Aashutosh Mistry
Convolutional neural network (CNN), a deep learning algorithm, has gained popularity in technological applications that rely on interpreting images (typically, an image is a 2D field of pixels). Transport phenomena is the science of studying different fields representing mass, momentum, or heat transfer. Some of the common fields are species concentration, fluid velocity, pressure, and temperature. Each of these fields can be expressed as an image(s). Consequently, CNNs can be leveraged to solve specific scientifi…
Convolutional Neural Network
Computer Science
Artificial Intelligence
Pixel
Deep Learning
Algorithm
Mathematics
Physics
Social Psychology
Programming Language