Deep Learning based Drowsiness Detection and Monitoring using Behavioural Approach-Reference-Cited by-同舟云学术

Deep Learning based Drowsiness Detection and Monitoring using Behavioural Approach

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)
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Author:

William P.¹,Shamim Mohd²,Yeruva Ajay Reddy³,Gangodkar Durgaprasad⁴,Vashisht Swati⁵,Choudhury Amarendranath⁶

Affiliation:

1. Sanjivani College of Engineering, SPPU,Department of IT,Pune

2. Halim Muslim PG College,Department of English,Kanpur,UP,India

3. Independent Researcher,Pleasanton,CA,USA

4. Graphic Era Deemed to be University, Graphic Era Hill University,Department of CSE,Dehradun,Uttarakhand,India

5. Amity University,Greater Noida,Uttar Pradesh,India

6. Patharkandi College,Department of Zoology,Assam,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9987725/9987727/09987728.pdf?arnumber=9987728

Reference53 articles.

1. Assessment of Hybrid Cryptographic Algorithm for Secure Sharing of Textual and Pictorial Content

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3. Challenges for Hate Speech Recognition System: Approach based on Solution

4. Implementation of 5G Network Architecture with Interoperability in Heterogeneous Wireless Environment using Radio Spectrum

5. Methods to Detect an Event using Artificial Intelligence and Machine Learning

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