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Recent Deep Learning Techniques, Challenges and Its Applications for Medical Healthcare System: A Review
Recent Deep Learning Techniques, Challenges and Its Applications for Medical Healthcare System: A Review
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Recent Deep Learning Techniques, Challenges and Its Applications for Medical Healthcare System: A Review

Pandey, Saroj Kumar ; Janghel, Rekh Ram

Neural processing letters, 2019-10, Vol.50 (2), p.1907-1935 [Periódico revisado por pares]

New York: Springer US

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GC-LSTM: graph convolution embedded LSTM for dynamic network link prediction
GC-LSTM: graph convolution embedded LSTM for dynamic network link prediction
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GC-LSTM: graph convolution embedded LSTM for dynamic network link prediction

Chen, Jinyin ; Wang, Xueke ; Xu, Xuanheng

Applied intelligence (Dordrecht, Netherlands), 2022-05, Vol.52 (7), p.7513-7528 [Periódico revisado por pares]

New York: Springer US

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3
Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces
Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces
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Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces

Cecotti, H ; Graser, A

IEEE transactions on pattern analysis and machine intelligence, 2011-03, Vol.33 (3), p.433-445 [Periódico revisado por pares]

Los Alamitos, CA: IEEE

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4
Global Mittag-Leffler stability and synchronization of memristor-based fractional-order neural networks
Global Mittag-Leffler stability and synchronization of memristor-based fractional-order neural networks
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Global Mittag-Leffler stability and synchronization of memristor-based fractional-order neural networks

Chen, Jiejie ; Zeng, Zhigang ; Jiang, Ping

Neural networks, 2014-03, Vol.51, p.1-8 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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5
Modulation Classification Based on Signal Constellation Diagrams and Deep Learning
Modulation Classification Based on Signal Constellation Diagrams and Deep Learning
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Modulation Classification Based on Signal Constellation Diagrams and Deep Learning

Peng, Shengliang ; Jiang, Hanyu ; Wang, Huaxia ; Alwageed, Hathal ; Zhou, Yu ; Sebdani, Marjan Mazrouei ; Yao, Yu-Dong

IEEE transaction on neural networks and learning systems, 2019-03, Vol.30 (3), p.718-727

United States: IEEE

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6
A Review of Deep Learning Algorithms and Their Applications in Healthcare
A Review of Deep Learning Algorithms and Their Applications in Healthcare
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A Review of Deep Learning Algorithms and Their Applications in Healthcare

Abdel-Jaber, Hussein ; Devassy, Disha ; Al Salam, Azhar ; Hidaytallah, Lamya ; EL-Amir, Malak

Algorithms, 2022-02, Vol.15 (2), p.71 [Periódico revisado por pares]

Basel: MDPI AG

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7
Deep Learning with Graph Convolutional Networks: An Overview and Latest Applications in Computational Intelligence
Deep Learning with Graph Convolutional Networks: An Overview and Latest Applications in Computational Intelligence
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Deep Learning with Graph Convolutional Networks: An Overview and Latest Applications in Computational Intelligence

Bhatti, Uzair Aslam ; Tang, Hao ; Wu, Guilu ; Marjan, Shah ; Hussain, Aamir Sarker, Subrata Kumar ; Subrata Kumar Sarker

International journal of intelligent systems, 2023-02, Vol.2023, p.1-28 [Periódico revisado por pares]

New York: Hindawi

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8
Identification and Prediction of Dynamic Systems Using an Interactively Recurrent Self-Evolving Fuzzy Neural Network
Identification and Prediction of Dynamic Systems Using an Interactively Recurrent Self-Evolving Fuzzy Neural Network
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Identification and Prediction of Dynamic Systems Using an Interactively Recurrent Self-Evolving Fuzzy Neural Network

LIN, Yang-Yin ; CHANG, Jyh-Yeong ; LIN, Chin-Teng

IEEE transaction on neural networks and learning systems, 2013-02, Vol.24 (2), p.310-321

New York, NY: IEEE

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9
Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence
Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence
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Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence

Hirose, A. ; Yoshida, S.

IEEE transaction on neural networks and learning systems, 2012-04, Vol.23 (4), p.541-551

New York, NY: IEEE

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10
A Survey of Stochastic Computing Neural Networks for Machine Learning Applications
A Survey of Stochastic Computing Neural Networks for Machine Learning Applications
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A Survey of Stochastic Computing Neural Networks for Machine Learning Applications

Liu, Yidong ; Liu, Siting ; Wang, Yanzhi ; Lombardi, Fabrizio ; Han, Jie

IEEE transaction on neural networks and learning systems, 2021-07, Vol.32 (7), p.2809-2824

United States: IEEE

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