Integration of Feature and Decision Fusion With Deep Learning Architectures for Video Classification-Reference-Cited by-同舟云学术

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Integration of Feature and Decision Fusion With Deep Learning Architectures for Video Classification

Published:2024 Issue: Volume:12 Page:19432-19446
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kiziltepe Rukiye Savran¹^ORCID,Gan John Q.²^ORCID,Escobar Juan José³^ORCID

Affiliation:

1. Department of Software Engineering, Karadeniz Technical University, Trabzon, Turkey

2. School of Computer Science and Electronic Engineering, University of Essex, Colchester, U.K.

3. Department of Software Engineering, CITIC, University of Granada, Granada, Spain

Funder

Ministry of National Education, Turkey

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10418588.pdf?arnumber=10418588

Reference75 articles.

1. Detecting and Identifying Sign Languages through Visual Features

2. Comparative study of image fusion techniques based on spatial and transform domain;Shah;Int. J. Innov. Res. Sci., Eng. Technol.,2014

3. Deep learning for pixel-level image fusion: Recent advances and future prospects

4. IFCNN: A general image fusion framework based on convolutional neural network

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1. Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy;Lecture Notes in Computer Science;2024

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