Implementing Long Short-Term Memory Network for Enhancing Hyper Spectral Time Series Modeling-Reference-Cited by-同舟云学术

Implementing Long Short-Term Memory Network for Enhancing Hyper Spectral Time Series Modeling

Published:2023-12-28 Issue: Volume:10 Page:262-268
ISSN:
Container-title:2023 IEEE International Conference on Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario (ICPSITIAGS)
language:
Short-container-title:

Author:

Eti Muktha¹,Shekhawat Jyoti²,Nagpal Manish³,R Srisainath⁴,Chavhan Pranali G.⁵,Yadav Rakesh Kumar⁶

Affiliation:

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

2. Vivekananda Global University,Department of Computer Science & Application,Jaipur,India

3. Centre of Interdisciplinary Research in Business and Technology, Chitkara University Institute of Engineering and technology, Chitkara University,Punjab,India

4. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Mechanical Engineering,Chennai-127

5. Vishwakarma Institute of Information Technology,Department of Computer Engineering,Pune,India

6. Maharishi School of Engineering and Technology, Maharishi University of Information Technology,Uttar Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10527408/10527413/10527521.pdf?arnumber=10527521

Reference15 articles.

1. TLIA: Time-series forecasting model using long short-term memory integrated with artificial neural networks for volatile energy markets

2. A survey of long short term memory and its associated models in sustainable wind energy predictive analytics

3. Analysis of adulterated milk based on a long short-term memory network

4. Proposing model for water quality analysis based on hyperspectral remote sensor data

5. EEGAlzheimer’sNet: Development of transformer-based attention long short term memory network for detecting Alzheimer disease using EEG signal