Evaluating Feature Selection Techniques with Deep Learning Approach in Cancer Diagnosis-Reference-Cited by-同舟云学术

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Evaluating Feature Selection Techniques with Deep Learning Approach in Cancer Diagnosis

Published:2024-05-09 Issue: Volume:12 Page:930-935
ISSN:
Container-title:2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE)
language:
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Author:

Saraswat Nirmal¹,Kumar Prashant²,Joshi Jyoti³,Masson Palak⁴,Verma Akhilesh Kumar⁵,Garg Navin⁶

Affiliation:

1. GL Bajaj Institute of Technology and Management,Department of MCA,Greater Noida,UP,India

2. Salt Lake Telephone Exchange Block-DE Lalkhuthi,Department of IT Project Circle BSNL,Kolkata,West Bengal,India

3. Graphic Era Hill University,Computer Science & Engineering,Dehradun,Uttarakhand,India

4. Raj Kumar Goel Institute of Technology,Computer Science & Engineering,Ghaziabad,UP,India

5. Mount Litera Zee School,Department of Science & Technology,Greater Noida,UP,India

6. Graphic Era Deemed to be University,Computer Science & Engineering,Dehradun,Uttarakhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592860/10592845/10593025.pdf?arnumber=10593025

Reference17 articles.

1. Deep learning techniques for biometric security: A systematic review of presentation attack detection systems

2. Deep learning model to detect deceptive generative adversarial network generated images using multimedia forensic

3. Advanced Fraud Detection in Blockchain Transactions: An Ensemble Learning and Explainable AI Approach

4. CAMU-Net: Copy-move forgery detection utilizing coordinate attention and multi-scale feature fusion-based up-sampling

5. Speech Recognition using Machine Learning

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