Search Results for author: Cheol-Ho Hong

Found 3 papers, 1 papers with code

VFP: Converting Tabular Data for IIoT into Images Considering Correlations of Attributes for Convolutional Neural Networks

no code implementations16 Mar 2023 Jong-Ik Park, Cheol-Ho Hong

Features are positioned in the vortex shape from the center of an image, and the number of attributes determines the image size.

ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer

1 code implementation5 May 2021 Hyunho Ahn, Munkyu Lee, Cheol-Ho Hong, Blesson Varghese

For example, applications underpinned by deep neural networks (DNN) models can be sliced and distributed across the IIoT device and the edge of the network for improving the overall performance of inference and for enhancing privacy of the input data, such as industrial product images.

Edge-computing

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