A Hybrid Model based on Convolutional Neural Networks and Long Short-term Memory for Rest Tremor Classification-Reference-Cited by-同舟云学术

A Hybrid Model based on Convolutional Neural Networks and Long Short-term Memory for Rest Tremor Classification

Published:2022 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th International Conference on Agents and Artificial Intelligence
language:
Short-container-title:

Author:

Fourati Jihen¹²,Othmani Mohamed³,Ltifi Hela¹⁴

Affiliation:

1. National Engineering School of Sfax, University of Sfax, BP 1173, Sfax, Tunisia, --- Select a Country ---

2. Research Lab: Technology, Energy, and Innovative Materials Lab, Faculty of Sciences of Gafsa, University of Gafsa, Tunisia, --- Select a Country ---

3. Faculty of Sciences of Gafsa, University of Gafsa, BP 2100,Gafsa, Tunisia, --- Select a Country ---

4. Research Groups in Intelligent Machines Lab ,BP 3038, Sfax, Tunisia, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. New Methodology for Attack Patterns Classification in Deep Brain Stimulation;Communications in Computer and Information Science;2024

2. An Improved Approach for Parkinson’s Disease Classification Based on Convolutional Neural Network;Advances in Computational Collective Intelligence;2023

3. An Improved Multi-image Steganography Model Based on Deep Convolutional Neural Networks;Intelligent Systems Design and Applications;2023

4. An Improved Model for Semantic Segmentation of Brain Lesions Using CNN 3D;Intelligent Systems Design and Applications;2023

5. Long Short-Term Memory Based Photoplethysmography Biometric Authentication;Advances in Computational Collective Intelligence;2022