Results 31 to 40 of about 10,507 (209)
Combination of YOLOv3 Algorithm and Blob Detection Technique in Calculating Nile Tilapia Seeds
Ilkom Jurnal Ilmiah, 2023 Baby Fish counting must be counted accurately so it will not cause any loss, especially for fish seeds or fingerlings that have a small size. Generally, people still use conventional counting methods that produce low accuracy values.
Diana Tri Susetianingtias +2 more
doaj +1 more source
Swin-YOLOv3 Improving YOLOv3 network for grain insects detection
, 2023 Abstract Aiming at the problems of low target detection rate and high false alarm rate originating from incomplete edge target, blurred target and overlapping target in grain insect image, one improved YOLOv3, reffered as Swin-YOLOv3, is presented.
Chunhua Zhu, Jiarui Liang, Fei Zhou
openaire +1 more source
A Comparison of Deep Learning Approach for Underwater Object Detection
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 In recent years, marine ecosystems and fisheries have become potential resources. Therefore, monitoring these objects will be essential to ensure their existence.
Nurcahyani Wulandari +2 more
doaj +1 more source
Italian National Conference on Sensors, 2023 A continuing trend in precision apiculture is to use computer vision methods to quantify characteristics of bee traffic in managed colonies at the hive’s entrance.
V. Kulyukin, Aleksey V. Kulyukin
semanticscholar +1 more source
Sensors, 2020 The detection of objects concealed under people’s clothing is a very challenging task, which has crucial applications for security. When testing the human body for metal contraband, the concealed targets are usually small in size and are required ...
Lei Pang +3 more
doaj +1 more source
Atmosphere, 2023 Tropical cyclone (TC) detection is essential to mitigate natural disasters, as TCs can cause significant damage to life, infrastructure and economy. In this study, we applied the deep learning object detection model YOLOv3 to detect TCs in the North ...
L. Lam +5 more
semanticscholar +1 more source
Intelligent Traffic Congestion Control System using Machine Learning and Wireless Network
UHD Journal of Science and Technology, 2020 Traffic congestion has become a big problem for most people because it increases noise, air pollution, and wasting time. Current normal traffic light system is not enough to manage the traffic problematic congestions because they operate on a fixed-time ...
Mohammed Abdulmaged Faraj +1 more
doaj +1 more source
Automatic Detection of Near-Surface Targets for Unmanned Aerial Vehicle (UAV) Magnetic Survey
Remote Sensing, 2020 Great progress has been made in the integration of Unmanned Aerial Vehicle (UAV) magnetic measurement systems, but the interpretation of UAV magnetic data is facing serious challenges.
Yaxin Mu +3 more
doaj +1 more source
Buildings, 2022 Automatic bridge surface defect detection is of wide concern; it can save human resources and improve work efficiency. The object detection algorithm, especially the You Only Look Once (YOLO) series of networks, has important potential in real-time ...
Shuai Teng, Zongchao Liu, Xiaoda Li
doaj +1 more source
UAV Chasing Based on YOLOv3 and Object Tracker for Counter UAV Systems
IEEE Access, 2023 In this paper, we propose a vision-based unmanned aerial vehicle (UAV) chasing system that can be embedded in a pursuer UAV (pUAV) to protect from attacks by an evader UAV (eUAV).
Kyubin Kim +5 more
semanticscholar +1 more source