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.
Autori principali: | Miah, Parvez, Haque, Abrar Ahbabul, Imran, Abdullah Al, Hassan, MD. Radip, Rahman, Rafiur |
---|---|
Altri autori: | Alam, Md. Golam Rabiul |
Natura: | Tesi |
Lingua: | English |
Pubblicazione: |
Brac University
2023
|
Soggetti: | |
Accesso online: | http://hdl.handle.net/10361/18331 |
Documenti analoghi
-
Citrus leaf disease detection by image processing
di: Chowdhury, Mahir Faisal, et al.
Pubblicazione: (2024) -
Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
di: Tasnim, Sadia, et al.
Pubblicazione: (2023) -
EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
di: Mim, Ankhi Akter, et al.
Pubblicazione: (2024) -
Deep learning-based waste classification system for efficient waste management
di: Nakib, Abdullah Al, et al.
Pubblicazione: (2022) -
Tomato leaf disease detection using Resnet-50 and MobileNet Architecture
di: Tahamid, Abu
Pubblicazione: (2021)