[1] |
Nie F,Wang H,Song Q,et al.Image identification for two-phase flow patterns based on CNN algorithms[J].International Journal of Multiphase Flow,2022,152:104067.
|
[2] |
Umam C,Krismawan A D,Ali R R.CNN for image identification of hiragana based on pattern recognition using CNN[J].Journal of Applied Intelligent System,2021,6(2):62-71.
|
[3] |
Ganguly S,Bhowal P,Oliva D,et al.BLeafNet:A Bonferroni mean operator based fusion of CNN models for plant identification using leaf image classification[J].Ecological Informatics,2022,69:101585.
|
[4] |
Shakil M H,Alam M G R.Hate speech classification implementing NLP and CNN with machine learning algorithm through interpretable explainable AI[C]∥Proc of 2022 IEEE Region 10 Symposium,2022:1-6.
|
[5] |
Han Z,Liu L,Liu Y,et al.Diagnose lung cancer and human-machine interaction based on CNN and NLP[C]∥Proc of 2021 2nd International Seminar on Artificial Intelligence,Networking and Information Technology,2021:175-179.
|
[6] |
Kirisci M,Cagcag Yolcu O.A new CNN-based model for financial time series:TAIEX and FTSE stocks forecasting[J].Neural Processing Letters,2022,54(4):3357-3374.
|
[7] |
Mehtab S,Sen J.Analysis and forecasting of financial time series using CNN and LSTM-based deep learning models[M]∥Advances in Distributed Computing and Machine Learning.Singapore:Springer,2022:405-423.
|
[8] |
Bhuvaneshwari P,Rao A N,Robinson Y H.Top-N recommendation system using explicit feedback and outer product based residual CNN[J].Wireless Personal Communications,2023,128(2):967-983.
|
[9] |
Vedavathi N,Anil Kumar K M.PLRec:An efficient approach towards E-learning recommendation using LSTM-CNN technique[C]∥Proc of the International Conference on Cognitive and Intelligent Computing,2023:541-556.
|
[10] |
Oh S,Choi J,Kim J.A tutorial on quantum convolutional neural networks (QCNN)[C]∥Proc of 2020 International Conference on Information and Communication Technology Convergence,2020:236-239.
|
[11] |
Sakos C.Development and evaluation with AI tools & devices:Google edge TPU for general-purpose computing[D].Athens:National Technical University of Athens,2022.
|
[12] |
何曦, 李良福, 王娇颖, 等. 基于NPU的实时深度学习跟踪算法实现[J]. 应用光学, 2022, 43(4):682-692.
|
|
He Xi, Li Liang-fu, Wang Jiao-ying,et al. Implementation of real-time deep learning tracking algorithm based on NPU[J]. Journal of Applied Optics, 2022, 43(4): 682-692.
|
[13] |
Mayannavar S,Wali U.Hardware implementation of an activation function for neural network processor[M]∥Emerging Research in Computing,Information,Communication and Applications.Singapore:Springer,2022:597-608.
|
[14] |
Krizhevsky A.One weird trick for parallelizing convolutional neural networks[J].arXiv:1404.5997,2014.
|
[15] |
Zhu S, Li S,Liu W.iMAD:An in-memory accelerator for AdderNet with efficient 8-bit addition and subtraction ope- rations[C]∥Proc of the Great Lakes Symposium on VLSI,2022:65-70.
|
[16] |
Jiang J,Huang D,Du J,et al.Optimizing small channel 3D convolution on GPU with tensor core[J].Parallel Computing,2022,113:102954.
|
[17] |
Wu R,Zhang F,Guan J,et al.Drew:Efficient winograd CNN inference with deep reuse[C]∥Proc of the ACM Web Conference,2022:1807-1816.
|
[18] |
Alam S A,Anderson A,Barabasz B,et al.Winograd convolution for deep neural networks:Efficient point selection[J].ACM Transactions on Embedded Computing Systems,2022,21(6):1-28.
|
[19] |
Habib G,Qureshi S.Optimization and acceleration of convolutional neural networks:A survey[J].Journal of King Saud University-Computer and Information Sciences,2022,34(7):4244-4268.
|
[20] |
Ding C,Wang Z,Ding Q,et al.Convolutional neural network based on fast Fourier transform and gramian angle field for fault identification of HVDC transmission line[J].Sustainable Energy,Grids and Networks,2022,32:100888.
|
[21] |
Liu S, Deng W. Very deep convolutional neural network based image classification using small training sample size[C]∥Proc of 2015 3rd IAPR Asian Conference on Pattern Recognition,2015:730-734.
|