Analysing the Influence of Activation Functions in CNN models for Effective Malware Classification
- Title
- Analysing the Influence of Activation Functions in CNN models for Effective Malware Classification
- Description
- 2nd IEEE International Conference on Data Science and Network Security, ICDSNS 2024
- Creator
- Kasliwal S.; Vinay M.; Jayapriya J.; Deepa S.; Mahalakshmi J.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206574903&doi=10.1109%2fICDSNS62112.2024.10691109&partnerID=40&md5=0ceda2fbb8ecd648122c10a0bc505fa0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206574903&doi=10.1109%2fICDSNS62112.2024.10691109&partnerID=40&md5=0ceda2fbb8ecd648122c10a0bc505fa0</a>
- Date
- 2024-01-01
Collection
Citation
Kasliwal S.; Vinay M.; Jayapriya J.; Deepa S.; Mahalakshmi J., “Analysing the Influence of Activation Functions in CNN models for Effective Malware Classification,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/9459.