Quality Enhancement for Uninvited Content of Social Media Using Support Vector Machine and Alexnet-Reference-Cited by-同舟云学术

Quality Enhancement for Uninvited Content of Social Media Using Support Vector Machine and Alexnet

Published:2023-12-21 Issue: Volume: Page:1-5
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Container-title:2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)
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Author:

Saravanan M.S¹,Suresh Devanolla²,Sudha I.¹,Nandhini T J³,Sivashankar S⁴,Kalyani K.⁵

Affiliation:

1. Saveetha University,Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Computer Science and Engineering,Chennai,Tamilnadu,India

2. Madanapalle Institute of Technology & Science,Department of Computer Science & Technology,Madanapalle

3. Institute of CSE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Science-SIMATS,Chennai,Tamilnadu,India

4. Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College,Department of Computer Science Engineering,Chennai,Tamilnadu,India

5. Affiliated to Bharathidasan University, Tiruchirapalli,Bon Secours College for Women,Deptment of Computer Science,Thanjavur,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10452407/10452427/10452586.pdf?arnumber=10452586

Reference17 articles.

1. Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text

2. An intrusion detection framework for supporting SLA assessment in Cloud Computing

3. A Deep Learning Framework for Intrusion Detection and Multimodal Biometric Image Authentication

4. A framework for intrusion detection systems by social network analysis methods in ad hoc networks

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