Genetic Algorithm Optimized BiLSTM Networks Model for Human Activity Recognition using Timeseries Sensor Data-Reference-Cited by-同舟云学术

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Genetic Algorithm Optimized BiLSTM Networks Model for Human Activity Recognition using Timeseries Sensor Data

Published:2023-12-11 Issue: Volume: Page:1482-1488
ISSN:
Container-title:2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS)
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Author:

Selvabharathi S.¹,Dhanalakshmi K.S²,Prabhu P.³

Affiliation:

1. Alagappa Govt Polytechnic College,Karaikudi,Tamilnadu,India

2. Kalasalingam Academy of Research and Education,Department of ECE,Tamilnadu,India

3. Alagappa University,Information Technology, Centre for Distance and Online Education,Karaikudi,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10404046/10404076/10405333.pdf?arnumber=10405333

Reference17 articles.

1. Genetic Algorithm for Building Optimization

2. Efficient Hyperparameter Optimization in Deep Learning using a Variable Length Genetic Algorithm;Xiao;arXiv preprint arXiv:2006.12703,2020

3. A Novel Deep Multifeature Extraction Framework Based on Attention Mechanism Using Wearable Sensor Data for Human Activity Recognition

4. A Novel Smartphone-Based Human Activity Recognition Using Deep Learning in Health care

5. Human Activity Recognition via Hybrid Deep Learning Based Model

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