Inventive deep convolutional neural network classifier for emotion identification in accordance with EEG signals-Reference-Cited by-同舟云学术

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Inventive deep convolutional neural network classifier for emotion identification in accordance with EEG signals

Published:2023-02-17 Issue:1 Volume:13 Page:
ISSN:1869-5469
Container-title:Social Network Analysis and Mining
language:en
Short-container-title:Soc. Netw. Anal. Min.

Author:

Khubani Jitendra,Kulkarni Shirish

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s13278-023-01035-6.pdf

Reference24 articles.

1. Alhalaseh R, Alasasfeh S (2020) Machine-learning-based emotion recognition system using EEG signals. Computers 9(4):95

2. Bal U (2012) Dual tree complex wavelet transform based denoising of optical microscopy images. Biomed Opt Express 3(12):3231–3239

3. Binu D, Kariyappa BS (2020) Rider-deep-LSTM network for hybrid distance score-based fault prediction in analog circuits. IEEE Trans Ind Electron 68(10):10097–10106

4. Chao H, Dong L (2020) Emotion recognition using three-dimensional feature and convolutional neural network from multichannel EEG signals. IEEE Sens J 21(2):2024–2034

5. Chou JS, Nguyen NM (2020) FBI inspired meta-optimization. Appl Soft Comput 93:106339

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic Recognition of Multiple Emotional Classes from EEG Signals through the Use of Graph Theory and Convolutional Neural Networks;Sensors;2024-09-10

2. Emotion recognition in EEG signals using deep learning methods: A review;Computers in Biology and Medicine;2023-10

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