Novel Method for Detection of Stress in Employees using Hybrid Deep learning Models

Author:

R Sugumar1,Sharma Saumya2,Kiran P B Narendra3,Gupta Sumit Kumar4,Sindhu V5,Srinivas Romala Vijaya6

Affiliation:

1. Sri Indu College of Engineering and Technology,Department of Computer Science and Engineering (DS),Hyderabad,Telangana,India

2. The North Cap University,Gurugram,Haryana,India

3. Lovely Professional University,Mittal School of Business,Phagwara,Punjab,India

4. St. Wilfred's PG College,Department of Physics,Jaipur,Rajasthan,India

5. Lovely Professional University,School of Computer Applications,Punjab,India

6. KL University,BBA Department,Vaddeswaram,Andhra Pradesh,India

Publisher

IEEE

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. State-of-the-Art of Prediction of Stress Levels in the Workplace Based on MLP-CNN Technique;2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC);2024-05-02

2. Stress Management Through Workplace Associations with Productivity and Mood: The Impact of Learning Experience Based on Hybrid RF-GA-DNN Approach;2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC);2024-05-02

3. Towards Mental stress Detection in University Students Based on RBF and Extreme Learning Based Approach;2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC);2024-05-02

4. Impact of social media on the evolution of English semantics through linguistic analysis;Forum for Linguistic Studies;2024-03-20

5. Camera-based physiological measurement: Recent advances and future prospects;Neurocomputing;2024-03

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