A Novel Sine Cosine Optimization with Stacked Long Short-term Memory-enabled Stock Price Prediction

Title:A Novel Sine Cosine Optimization with Stacked Long Short-term Memory-enabled Stock Price Prediction

Volume: 16

Author(s): T. Swathi*, N. Kasiviswanath and A. Ananda Rao

Affiliation:

• Department of CSE, Jawaharlal Nehru Technological University, Anantapur (JNTUA), Ananthapuramu 515002, India

Abstract:

Since the authors are not responding to the editor’s requests to fulfil the editorial requirement, therefore, the article has been withdrawn from the journal Recent Advances in Computer Science and Communications.

Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused.

The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php

BENTHAM SCIENCE DISCLAIMER:

It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.

Cite this article as:

Swathi T.*, Kasiviswanath N. and Rao Ananda A., A Novel Sine Cosine Optimization with Stacked Long Short-term Memory-enabled Stock Price Prediction, Recent Advances in Computer Science and Communications 2023; 16 () : e091023221897 . https://dx.doi.org/10.2174/0126662558236061230922074642