Fire and disaster detection with multimodal quadcopter By machine learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
المؤلفون الرئيسيون: | Afrin, Anika, Rahman, Md Moshiour, Chowdhury, Ayash Hossain, Eshraq, Mirza, Ukasha, Mehvish Rahman |
---|---|
مؤلفون آخرون: | Rahman, Khalilur |
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
Brac University
2023
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://hdl.handle.net/10361/20208 |
مواد مشابهة
-
Advancing autonomous navigation: YOLO-based road obstacle detection and segmentation for Bangladeshi environments
بواسطة: Mahmud, Ishtiaque, وآخرون
منشور في: (2024) -
Real-time garments defects detection at the sewing phase to optimize waste cost using YOLOv7, YOLOv7x, YOLOv7-w6 and Pytorch
بواسطة: Uddin, Md. Minhaz, وآخرون
منشور في: (2023) -
An ambient assisted living system for Alzheimer’s patients
بواسطة: Abedin, Minhajul, وآخرون
منشور في: (2023) -
Introducing AI in garment fault detection using YOLOv5 to reduce bottleneck
بواسطة: Sanjana, Jasia, وآخرون
منشور في: (2024) -
Leveraging robust CNN architectures for real-time object recognition from conveyor belt
بواسطة: Moon, Nowrin Tasnim, وآخرون
منشور في: (2023)