Violent activity detection through surveillance camera using deep learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
| Auteurs principaux: | Miah, Parvez, Haque, Abrar Ahbabul, Imran, Abdullah Al, Hassan, MD. Radip, Rahman, Rafiur |
|---|---|
| Autres auteurs: | Alam, Md. Golam Rabiul |
| Format: | Thèse |
| Langue: | English |
| Publié: |
Brac University
2023
|
| Sujets: | |
| Accès en ligne: | http://hdl.handle.net/10361/18331 |
Documents similaires
-
Citrus leaf disease detection by image processing
par: Chowdhury, Mahir Faisal, et autres
Publié: (2024) -
Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
par: Tasnim, Sadia, et autres
Publié: (2023) -
EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
par: Mim, Ankhi Akter, et autres
Publié: (2024) -
Deep learning-based waste classification system for efficient waste management
par: Nakib, Abdullah Al, et autres
Publié: (2022) -
Tomato leaf disease detection using Resnet-50 and MobileNet Architecture
par: Tahamid, Abu
Publié: (2021)