Analyzing Nickel Stock Price Prediction: A Comparative Study of Long Short-Term Memory and Convolutional Neural Network Models-Reference-Cited by-同舟云学术

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Analyzing Nickel Stock Price Prediction: A Comparative Study of Long Short-Term Memory and Convolutional Neural Network Models

Published:2024-07-04 Issue: Volume:109 Page:229-234
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Container-title:2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)
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Author:

Irwanto Ferry¹,Hafizh Sasongko Muhammad Farrell¹,Febrian Stevanus¹,Santoso Gunawan Alexander Agung²,Setiawan Karli Eka²

Affiliation:

1. School of Computer Science, Bina Nusantara University,Data Science Program Computer Science Department,Jakarta,Indonesia,11480

2. School of Computer Science, Bina Nusantara University,Computer Science Department,Jakarta,Indonesia,11480

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616252/10617449/10617506.pdf?arnumber=10617506

Reference29 articles.

1. Advances and Prospects of Surface Modification on Nickel‐Rich Materials for Lithium‐Ion Batteries †

2. Implicit Interpretation of Indonesian Export Bans on LME Nickel Prices: Evidence from the Announcement Effect

3. Building a Competitive Advantage for Indonesia in the Development of the Regional EV Battery Chain

4. The Emerging Electric Vehicle and Battery Industry in Indonesia: Actions around the Nickel Ore Export Ban and a SWOT Analysis

5. Stock Valuation and Financial Performance of Nickel Mining Company in Indonesia (Case Study: PT Vale Indonesia Tbk)

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