Zobrazeno 1 - 10
of 91
pro vyhledávání: '"RT-DETR"'
Publikováno v:
Journal of Applied Informatics and Computing, Vol 8, Iss 2, Pp 463-471 (2024)
The lack of specialized tools to check the condition of ornamental fish has hindered effective management. This research proposes a novel software architecture that uses the YOLOv9 model combined with RT-DETR to enable accurate and timely identificat
Externí odkaz:
https://doaj.org/article/d07585107b974a368e1d1069bd5285f1
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Accurate diagnosis of grape leaf diseases is critical in agricultural production, yet existing detection techniques face challenges in achieving model lightweighting while ensuring high accuracy. In this study, a real-time, end-to-end, lightweight gr
Externí odkaz:
https://doaj.org/article/b6a19f3d94dc49dbb2ee64c6c424fc08
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Existing seed germination detection technologies based on deep learning are typically optimized for hydroponic breeding environments, leading to a decrease in recognition accuracy in complex soil cultivation environments. On the other hand, tradition
Externí odkaz:
https://doaj.org/article/b6bb566646b34c748204374e6f700518
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Tomatoes, widely cherished for their high nutritional value, necessitate precise ripeness identification and selective harvesting of mature fruits to significantly enhance the efficiency and economic benefits of tomato harvesting management. Previous
Externí odkaz:
https://doaj.org/article/9bc2e7e59b7d4d7ab55a6c069cff22e3
Publikováno v:
IEEE Access, Vol 12, Pp 121723-121737 (2024)
The average daily traffic survey is essential for repairing and maintaining road sections. This method is generally conducted using a semi-manual approach that counts vehicles using CCTV. This approach is not effective or efficient because of the pot
Externí odkaz:
https://doaj.org/article/c3e37cac63d14a58a4d609225604dccd
Publikováno v:
IEEE Access, Vol 12, Pp 21621-21633 (2024)
This research presents a groundbreaking approach in aerial image analysis by integrating the Real-Time Detection and Recognition (RT-DETR-X) model with the Slicing Aided Hyper Inference (SAHI) methodology, utilizing the VisDrone-DET dataset. Aimed at
Externí odkaz:
https://doaj.org/article/1a589668284f4a1ba999872e2c3eb420
Publikováno v:
Sensors, Vol 24, Iss 22, p 7376 (2024)
For drone-based detection tasks, accurately identifying small-scale targets like people, bicycles, and pedestrians remains a key challenge. In this paper, we propose DV-DETR, an improved detection model based on the Real-Time Detection Transformer (R
Externí odkaz:
https://doaj.org/article/09cf52d87e404578a7d9cb44a447a412
Publikováno v:
Fire, Vol 7, Iss 11, p 387 (2024)
This study addresses the urgent need for an efficient and accurate smoke detection system to enhance safety measures in fire monitoring, industrial safety, and urban surveillance. Given the complexity of detecting smoke in diverse environments and un
Externí odkaz:
https://doaj.org/article/2ad9d8468f6c4cd3b88d599332896ba2
Autor:
Meiting Jin, Junxing Zhang
Publikováno v:
Sensors, Vol 24, Iss 21, p 6987 (2024)
Vehicle logo detection (VLD) is a critical component of intelligent transportation systems (ITS), particularly for vehicle identification and management in dynamic traffic environments. However, traditional object detection methods are often constrai
Externí odkaz:
https://doaj.org/article/a00ca44a870349428f9fb58e32f83056
Publikováno v:
Fishes, Vol 9, Iss 9, p 349 (2024)
The rapid depletion of fishery resources has led to the global implementation of Total Allowable Catch (TAC) systems. However, the current manual survey methods employed by land-based inspectors show limitations in accuracy and efficiency. This study
Externí odkaz:
https://doaj.org/article/65c976ab268b4b03bdb98e00f1ec2507