[HTML][HTML] Advancing Crayfish Disease Detection: A Comparative Study of Deep Learning and Canonical Machine Learning Techniques
This study evaluates the effectiveness of deep learning and canonical machine learning
models for detecting diseases in crayfish from an imbalanced dataset. In this study …
models for detecting diseases in crayfish from an imbalanced dataset. In this study …
Research on Dataset Generation and Monitoring of Generative AI for Drowning Warning System
B Bai, H Yue, L Chen, X Li - IEEE Access, 2024 - ieeexplore.ieee.org
In order to address the scarcity of images in real-world drowning datasets, this research
aims to create an intelligent system that can generate a large number of drowning datasets …
aims to create an intelligent system that can generate a large number of drowning datasets …
Enhancing object detection and classification using deep learning: A novel approach with annotated dataset and YOLO-C3GTR architecture
RM Usman, J Yan, S Mehmood… - … Research Journal Of …, 2024 - search.informit.org
In the rapidly evolving field of computer vision, the need for advancements in object
detection is paramount. For a variety of reasons, including security, maritime surveillance …
detection is paramount. For a variety of reasons, including security, maritime surveillance …