Helping Hearing-Impaired in Emergency Situations: A Deep Learning-Based Approach-Reference-Cited by-同舟云学术

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Helping Hearing-Impaired in Emergency Situations: A Deep Learning-Based Approach

Published:2022 Issue: Volume:10 Page:8502-8517
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Areeb Qazi Mohammad^ORCID,Maryam ,Nadeem Mohammad^ORCID,Alroobaea Roobaea^ORCID,Anwer Faisal^ORCID

Funder

Taif University Researchers Supporting Project, Taif University, Taif, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09681062.pdf?arnumber=9681062

Reference76 articles.

1. IEEE Access Special Section Editorial: Deep Learning for Computer-Aided Medical Diagnosis

2. Machine learning for medical diagnosis: history, state of the art and perspective

3. Convolutional neural networks in medical image understanding: a survey

4. Hand Gesture Recognition in Video Sequences Using Deep Convolutional and Recurrent Neural Networks

5. Action snippets: How many frames does human action recognition require?

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