(IJACSA) International Journal of Advanced Computer Science and Applications,
Vol. 11, No. 7, 2020
[29]
Samudrala, S. (2019). Machine Intelligence: Demystifying Machine
Learning, Neural Networks and Deep Learning. Chennai, India: Notion
Press.
[30]
Sharma, A., & Chaudhary, D. R. (2013). Character recognition using
neural network. International journal of engineering Trends and
Technology (IJETT), 4(4), 662-667.
[31]
Shi, W., Caballero, J., Huszar, F., Totz, J., Aitken, A. P., Bishop, R., …
Wang, Z. (2016). Real-Time Single Image and Video Super-Resolution
Using an Efficient Sub-Pixel Convolutional Neural Network. 2016 IEEE
Conference on Computer Vision and Pattern Recognition (CVPR), 1874-
1883. doi:10.1109/cvpr.2016.207
[32]
Shin, H., Roth, H. R., Gao, M., Lu, L., Xu, Z., Nogues, I., … Summers,
R. M. (2016). Deep Convolutional Neural Networks for Computer-Aided
Detection: CNN Architectures, Dataset Characteristics and Transfer
Learning. IEEE Transactions on Medical Imaging, 35(5), 1285-1298.
doi:10.1109/tmi.2016.2528162
[33]
Sudholt, S., & Fink, G. A. (2016). PHOCNet: A deep convolutional
neural network for word spotting in handwritten documents. In 2016 15th
International Conference on Frontiers in Handwriting Recognition
(ICFHR) (pp. 277-282). IEEE.
[34]
Suryani, D., Doetsch, P., & Ney, H. (2016, October). On the benefits of
convolutional neural network combinations in offline handwriting
recognition. In 2016 15th International Conference on Frontiers in
Handwriting Recognition (ICFHR) (pp. 193-198). IEEE.
[35]
Wilkinson, T., & Brun, A. (2016). Semantic and verbatim word spotting
using deep neural networks. In 2016 15th International Conference on
Frontiers in Handwriting Recognition (ICFHR) (pp. 307-312). IEEE.
[36]
Williams, A. (2017). Convolutional Neural Networks in Python:
Introduction to Convolutional Neural Networks. Scotts Valley, CA:
Createspace Independent Publishing Platform.
[37]
Wu, C., Fan, W., He, Y., Sun, J., & Naoi, S. (2014). Handwritten
character recognition by alternately trained relaxation convolutional
neural network. In 2014 14th International Conference on Frontiers in
Handwriting Recognition (pp. 291-296). IEEE.
[38]
Wu, Y. C., Yin, F., & Liu, C. L. (2017). Improving handwritten Chinese
text recognition using neural network language models and convolutional
neural network shape models. Pattern Recognition, 65, 251-264.
[39]
Xu, Y. (2010). Examining the Effects of Digital Feedback on Student
Engagement and Achievement. Journal of Educational Computing
Research, 43(3), 275-291. doi:10.2190/ec.43.3.a.
[40]
Zhou, H., Chen, J., Dong, G., & Wang, R. (2016). Detection and
diagnosis of bearing faults using shift-invariant dictionary learning and
hidden Markov model. Mechanical systems and signal processing, 72, 65-
79.
146 |
P a g e
www.ijacsa.thesai.org
View publication stats
View publication stats
Do'stlaringiz bilan baham: |