3D-CNN Architecture to Improve the Classification Accuracy of the Real-Time Images from IOT Devices-Reference-Cited by-同舟云学术

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3D-CNN Architecture to Improve the Classification Accuracy of the Real-Time Images from IOT Devices

Published:2023-05-11 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Disruptive Technologies (ICDT)
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Author:

C Kiran Kumar¹,Devi B. Aruna²,Maguluri Lakshmana Phaneendra³,Singh Naruka Mahaveer⁴

Affiliation:

1. Codecraft Technologies,Data Science,Bangalore,Karnataka,India

2. Dr.NGP Institute of Technology,Department of Electronics and Communication Engineering,Coimbatore,Tamil Nadu,India

3. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Guntur,AP,India

4. GL Bajaj Institute of Technology and Management,Greater Noida,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10150433/10150449/10151182.pdf?arnumber=10151182

Reference14 articles.

1. A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards

2. Blockchain Security;yadav;Blockchain Security in Cloud Computing EAI/Springer Innovations in Communication and Computing,2022

3. A convolutional neural network with feature fusion for real-time hand posture recognition

4. Advance generalization technique through 3D CNN to overcome the false positives pedestrian in autonomous vehicles

5. Advanced lung cancer prediction based on blockchain material using extended CNN;srinivasulu;Applied Nanoscience,2021

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