Prediction of Sufficient Accuracy for Human Activity Recognition using Novel Long Short Term Memory in Compared with Decision Tree-Reference-Cited by-同舟云学术

Prediction of Sufficient Accuracy for Human Activity Recognition using Novel Long Short Term Memory in Compared with Decision Tree

Published:2023-03-23 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)
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Author:

Charan Sai¹,Saravanan. M.S¹,Surendran. R¹

Affiliation:

1. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10104520/10104522/10104587.pdf?arnumber=10104587

Reference19 articles.

1. Big Data in Organizations and the Role of Human Resource Management

2. Raghav Bali, and Tamoghna Ghosh;sarkar;Hands-On Transfer Learning With Python Implement Advanced Deep Learning and Neural Network Models Using TensorFlow and Keras,2018

3. Physical Activity and Mental Health

4. Quantum Behaved Particle Swarm Optimization-Based Deep Transfer Learning Model for Sugarcane Leaf Disease Detection and Classification

5. Deep Learning for Human Activity Recognition: Second International Workshop;li;DL-HAR 2020 Held in Conjunction with IJCAI-PRICAI 2020,2021

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