A YOLO-Based Approach for Aedes Aegypti Larvae Classification and Detection

Author:

Hubalde Angelo M.,Padilla Dionis A.,Santos Denzel Antoinette C.

Publisher

IEEE

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Detection of Shell Waste on Sea Sand Using YOLOv5 Model;2024 7th International Conference on Information and Computer Technologies (ICICT);2024-03-15

2. Performance Analysis of EfficientNet for Rice Grain Quality Control-An Evaluation against YOLOv7 and YOLOv8;2024 7th International Conference on Information and Computer Technologies (ICICT);2024-03-15

3. RT-CLAD: Artificial Intelligence-Based Real-Time Chironomid Larva Detection in Drinking Water Treatment Plants;Sensors;2023-12-28

4. Comparison and Analysis of YOLOv5 and YOLOv4-Tiny in Fruit Sample Detection;2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2023-11-19

5. Shell Texture-based Identification of Damaged Tamarindus Indica Using YOLOv5;2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE);2023-10-27

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