A Survey: Classifying and Predicting Features Based on Facial Analysis-Reference-Cited by-同舟云学术

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A Survey: Classifying and Predicting Features Based on Facial Analysis

Published:2023 Issue: Volume: Page:297-307
ISSN:2190-3018
Container-title:Evolution in Computational Intelligence
language:
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Author:

Tejaashwini Goud J.,Bhaskar Nuthanakanti,Kumar Voruganti Naresh,Mubeen Suraya,Narasimharao Jonnadula,Unnisa Raheem

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-6702-5_25

Reference53 articles.

1. Abirami, B., Subashini, T.S., Mahavaishnavi, V.: Gender and age prediction from real time facial images using CNN. Mater. Today Proc. 33, 4708–4712 (2020)

2. Agbo-Ajala, O., Viriri, S.: Deeply learned classifiers for age and gender predictions of unfiltered faces. Sci. World J. 2020 (2020)

3. Al Mashagba, E.F.: Real-time gender classification by face. Int. J. Adv. Comput. Sci. Appl. 7(3) (2016)

4. Ali, H., et al.: Facial emotion recognition using empirical mode decomposition. Expert Syst. Appl. 42(3), 1261–1277 (2015)

5. Alreshidi, A., Ullah, M.: Facial emotion recognition using hybrid features. In: Informatics, vol. 7. no. 1. Multidisciplinary Digital Publishing Institute (2020)

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1. Emotion Recognition Through Speech;Lecture Notes in Networks and Systems;2024

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