Empirical Analysis of Deep Learning for Big Data and Its Applications using CNN-Reference-Cited by-同舟云学术

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Empirical Analysis of Deep Learning for Big Data and Its Applications using CNN

Published:2022-04-28 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Arya Rakesh¹,Khanduja Manisha²,Rani P.Shobha³,Pundhir Prachi⁴,Tiwari Mohit⁵,Shelke Chetan Jagannath⁶

Affiliation:

1. CS&IT, Himgiri Zee University,Dehradun,Uttarakhand,India

2. Uttaranchal University,Department of Computer Application,Dehradun,Uttarakhand,India

3. R.M.D.Engineering College, Anna University,Department of CSE

4. Computer Science and Engineering Ajay Kumar Garg Engineering College,Ghaziabad,U.P.,India

5. Bharati Vidyapeeth's College of Engineering,Department of Computer Science and Engineering,Delhi

6. Alliance University,Department of Information Technology,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823381/9823413/09823927.pdf?arnumber=9823927

Reference25 articles.

1. Deep Learning in Natural Language Processing

2. Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction

3. Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy

4. Conceptual design of hybrid PCSK9 lead inhibitors against coronary artery disease

5. Estimation of Knee Joint Forces in Sport Movements Using Wearable Sensors and Machine Learning

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1. Signal Quality Assessment for Speech Recognition using Deep Convolutional Neural Networks;2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon);2022-10-16

2. Design of IoT network using Deep learning model for Anomaly Detection;2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon);2022-10-16

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