AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
Saved in:
| Hovedforfatter: | |
|---|---|
| Institution som forfatter: | |
| Format: | Bog |
| Sprog: | engelsk |
| Udgivet: |
Dhaka :
CSE DEPT. MIST,
c2023.
|
| Fag: | |
| Tags: |
Ingen Tags, Vær først til at tagge denne postø!
|
Lignende værker: AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
- IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
- MACHINE LEARNING APPROACHES FOR THE DETECTION OF LUNG CANCER USING MRI IMAGES /
- DETECTION OF BRAIN TUMORS FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
- DETECTING POSTPARTUM DEPRESSION AMONG BANGLADESHI WOMEN USING SCENARIO-BASED QUESTIONS AND DEEP LEARNING / /
- MULTI-CLASS BREAST CANCER DETECTION USING DEEP LEARNING AND QUANTUM ANNEALING-BASED HYPERPARAMETER OPTIMIZATION /
- DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /