Emperical Analysis of Nail Diseases through Using Hybrid Algorithms of LSTM and CNN-Reference-Cited by-同舟云学术

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Emperical Analysis of Nail Diseases through Using Hybrid Algorithms of LSTM and CNN

Published:2024-02-09 Issue: Volume: Page:
ISSN:
Container-title:2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)
language:
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Author:

Roy Pritha Singha¹,Kukreja Vinay¹,Nisha Chandran S²,Choudhary Ankur³

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

2. Graphic Era Hill University,School of Computing,Dehradun,Uttarakhand,India

3. Graphic Era Hill University,Computer Science and Engineering,Dehradun,Uttarakhand,Indias

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10486056/10486063/10486393.pdf?arnumber=10486393

Reference17 articles.

1. Privacy Preserving Early Disease Diagnosis in Human Nails Using Swarm Learning

2. Fungal Skin Disease Classification Using the Convolutional Neural Network

3. Classification of Defective Intensity Levels of Paint in Heritage Buildings using the CNN-SVM Technique

4. Nail Disease Prediction using a Deep Learning Integrated Framework

5. Ear Biometric: A Deep Learning Approach

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Insomnia Staging Through Facial Expression Analysis: A CNN-LSTM Hybrid Model;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

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