Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Ghost Module"'
Publikováno v:
Journal of Integrative Agriculture, Vol 23, Iss 10, Pp 3554-3575 (2024)
Banana is a significant crop, and three banana leaf diseases, including Sigatoka, Cordana and Pestalotiopsis, have the potential to have a serious impact on banana production. Existing studies are insufficient to provide a reliable method for accurat
Externí odkaz:
https://doaj.org/article/e9986e8747314bdcbf25d4f85bed0fb8
Publikováno v:
Journal of Natural Fibers, Vol 21, Iss 1 (2024)
The current advanced neural network models are expanding in size and complexity to achieve improved detection accuracy. This study designs a lightweight fabric defect detection algorithm based on YOLOv7-tiny, called YOLOv7-tiny-MGCK. Its objectives a
Externí odkaz:
https://doaj.org/article/a4cd021ce1274015bb3affcbe29ef138
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 6, Pp 2643-2660 (2024)
Abstract In carbonate reservoirs characterized by the fracture‐cavity system as storage spaces, the drilling process is highly prone to the loss of drilling fluid. This not only affects drilling efficiency but can also lead to severe accidents, suc
Externí odkaz:
https://doaj.org/article/266426615294402bbb69e397db3bc91a
Autor:
Chunling Yu
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-18 (2024)
Abstract The expansion of virtual and augmented reality, intelligent assistance technology, and other fields has led to an increased demand for human–computer interaction methods that are more natural and intuitive. Gesture recognition has become a
Externí odkaz:
https://doaj.org/article/7c0813b2bf294435a696c9632b3896b3
Autor:
Niraj Tamrakar, Sijan Karki, Myeong Yong Kang, Nibas Chandra Deb, Elanchezhian Arulmozhi, Dae Yeong Kang, Junghoo Kook, Hyeon Tae Kim
Publikováno v:
AgriEngineering, Vol 6, Iss 2, Pp 962-978 (2024)
A lightweight strawberry detection and localization algorithm plays a crucial role in enabling the harvesting robot to effectively harvest strawberries. The YOLO model has often been used in strawberry fruit detection for its high accuracy, speed, an
Externí odkaz:
https://doaj.org/article/be2f2bb7911d4d218aaa96dd9858d030
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e33447- (2024)
The identification of pepper leaf diseases is crucial for ensuring the safety and quality of pepper yield. However, existing methods heavily rely on manual diagnosis, resulting in inefficiencies and inaccuracies. In this study, we propose a lightweig
Externí odkaz:
https://doaj.org/article/1c888d84d39e41bc97615e88131fdb6b
Publikováno v:
IEEE Access, Vol 12, Pp 68453-68462 (2024)
Discrimination between tectonic and non-tectonic events is crucial to assess seismic hazards and manage associated risks. However, the discrimination process is challenging due to the imbalanced distribution of tectonic and non-tectonic events. In th
Externí odkaz:
https://doaj.org/article/e9e18155ef424330a8420e54ef164125
Publikováno v:
In Heliyon 30 June 2024 10(12)
Publikováno v:
智慧农业, Vol 5, Iss 2, Pp 45-55 (2023)
ObjectiveTo address the problems of low efficiency and high cost of traditional manual identification of pests and diseases, improve the automatic recognition of pests and diseases by introducing advanced technical means, and provide feasible technic
Externí odkaz:
https://doaj.org/article/0944d35fa4094709a919aec4298ea61b
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4161 (2024)
Compared to traditional industrial materials, composites have higher durability and compressive strength. However, some components may have flaws due to the manufacturing process. Traditional defect detection methods have low accuracy and cannot adap
Externí odkaz:
https://doaj.org/article/1af786bd865748aebe364bd9745e9302