DEEP LEARNING BASED MULTIPLE OBJECT DETECTION AND DISTANCE MANAGEMENT FROM CUSTOM-BUILT DATASET WITH HETEROGENIOUS TRAFFIC /
Guardat en:
| Autor principal: | |
|---|---|
| Autor corporatiu: | |
| Altres autors: | , , |
| Format: | Llibre |
| Idioma: | anglès |
| Publicat: |
Dhaka :
CSE DEPT. MIST,
c2023.
|
| Matèries: | |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|
Ítems similars: DEEP LEARNING BASED MULTIPLE OBJECT DETECTION AND DISTANCE MANAGEMENT FROM CUSTOM-BUILT DATASET WITH HETEROGENIOUS TRAFFIC /
- DEVELOPMENT OF AN OBJECT ORIENTED WATER PHANTOM FOR IDENTIFICATION OR LOCALIZATION OF MULTIPLE VOLUMETRIC /
- A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER /
- LIVEBOX: A REAL-RIME SOCIAL DISTANCE SURVEILLANCE SYSTEM AIDED BY DEEP LEARNING /
- ANALYSIS OF MULTIPLICATION BASED ALGORITHMS /
- Customer service : skills and concepts for success /
- AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /