Methodologies of compressing a stable performance convolutional neural networks in image classification
Deep learning has made a real revolution in the embedded computing environment.
Convolutional neural network (CNN) revealed itself as a reliable fit to many emerging …
Convolutional neural network (CNN) revealed itself as a reliable fit to many emerging …
Tourism demonstration system for large-scale museums based on 3D virtual simulation technology
Y Hu, W Sun, X Liu, Q Gan, J Shi - The Electronic Library, 2020 - emerald.com
Purpose The purpose of this study is to enhance audience experience in museum by using
three-dimensional (3D) virtual simulation technology. Design/methodology/approach In this …
three-dimensional (3D) virtual simulation technology. Design/methodology/approach In this …
Towards a Direct Mental Based Decision Making: Electroencephalography (EEG) Case Study
Y Hasan, S El-Salhi - 2020 11th International Conference on …, 2020 - ieeexplore.ieee.org
Nowadays, there are several ways to interact with computers, applications, or even games.
These ways vary between using a direct input via typical input mediums, automatic smart …
These ways vary between using a direct input via typical input mediums, automatic smart …
A New Model for Predicting Node Type Based on Deep Learning
B Gong, D Ergu, K Liu, Y Cai - … , ICDS 2019, Ningbo, China, May 15–20 …, 2020 - Springer
With the development of the Internet, a large number of data sets are generated, which
contain valuable resources. Meanwhile, there are various graphical representations in real …
contain valuable resources. Meanwhile, there are various graphical representations in real …