Employing Deep Learning Algorithms for Real-Time Analysis and Prediction of Financial Markets and Investment Strategies-Reference-Cited by-同舟云学术

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Employing Deep Learning Algorithms for Real-Time Analysis and Prediction of Financial Markets and Investment Strategies

Published:2024-04-06 Issue: Volume: Page:648-654
ISSN:
Container-title:2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT)
language:
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Author:

Rajendran Naveen Kumar¹,Kumari Sweta²,Pandey Vijay Kumar³

Affiliation:

1. JAIN (Deemed-to-be University),Faculty of Engineering and Technology,Department of Aerospace Engineering,Bangalore,Karnataka,India

2. ATLAS SkillTech University,Department of ISME,Mumbai,Maharashtra,India

3. Vivekananda Global University,Department of Mechanical Engineering,Jaipur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10545643/10545610/10545703.pdf?arnumber=10545703

Reference11 articles.

1. CSAN: A neural network benchmark model for crime forecasting in spatio-temporal scale

2. Hybrid Deep learning based Semi-supervised Model for Medical Imaging

3. Stochastic Dilated Residual Ghost Model for Breast Cancer Detection

4. A study of deep learning approach for the classification of electroencephalogram (EEG) brain signals

5. Electroencephalogram-based deep learning framework for the proposed solution of e-learning challenges and limitations

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