Zobrazeno 1 - 10
of 2 847
pro vyhledávání: '"mask r-cnn"'
Publikováno v:
Artificial Intelligence in Agriculture, Vol 13, Iss , Pp 84-99 (2024)
Instance segmentation, an important image processing operation for automation in agriculture, is used to precisely delineate individual objects of interest within images, which provides foundational information for various automated or robotic tasks
Externí odkaz:
https://doaj.org/article/1e0b66591ee6466580a21294308076d1
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Identification of high consequence areas is an important task in pipeline integrity management. However, traditional identification methods are generally characterized by low efficiency, high cost and low accuracy. For this reason, this pape
Externí odkaz:
https://doaj.org/article/747a115e3f4540bfbdf95ec6a10226c4
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 7, Pp 2958-2973 (2024)
Abstract Intelligent sorting of coal and gangue is of great significance to the intelligent construction of coal mines as well as green development. In this study, we propose a coal and gangue segmentation method with an improved classical segmentati
Externí odkaz:
https://doaj.org/article/07362ba3f73b4c8193ec30e4bcc4581a
Autor:
Ning Jia, Chunjun Zheng
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100507- (2024)
We introduce a multimodal rapid identification and growth status discrimination method for morchella. Based on the unique biological characteristics and growth environmental requirements of morchella, the efficient and accurate identification of key
Externí odkaz:
https://doaj.org/article/0a941b76fead494fac04e4ac52d64001
An automatic and unsupervised image mask acquisition method based on generative adversarial networks
Publikováno v:
Systems Science & Control Engineering, Vol 12, Iss 1 (2024)
This paper proposes an unsupervised method for automatically labelling and obtaining image masks in defect detection. Since it is very labour intensive to acquire the image masks needed for deep learning (e.g. in semantic segmentation tasks) via manu
Externí odkaz:
https://doaj.org/article/7e1bd8aa12ce42a7bcd20353e3e0f822
Publikováno v:
Zanco Journal of Pure and Applied Sciences, Vol 35, Iss SpA (2024)
Building footprint extraction from UAV (Unmanned Aerial Vehicle) imagery data has been an active research topic in the photogrammetric and remote sensing communities in the past two decades. The traditional methods for building extraction from high-r
Externí odkaz:
https://doaj.org/article/4b7eca3dc32748a3a51ed60fdab97d8d
Publikováno v:
Measurement: Sensors, Vol 35, Iss , Pp 101295- (2024)
Early detection and classification of brain tumors are crucial for patient survival. This study proposes a comprehensive deep learning approach for early brain tumor classification using medical imaging data. A diverse dataset encompassing various tu
Externí odkaz:
https://doaj.org/article/ce9ec367cb984a768ac8fc0341660347
Autor:
А. D. Nikitina
Publikováno v:
Вопросы лесной науки, Vol 7, Iss 2, Pp 1-21 (2024)
The article presents the results of applying an improved method for automatic segmentation of RGB imagery obtained using consumer-grade UAVs, based on the Mask R-CNN neural network architecture. Blocks for the preparation and post-processing of raste
Externí odkaz:
https://doaj.org/article/12634ae9b3cb467e91b4289ecc0be066
Autor:
Tarik Citlak, Nelendran Pillay
Publikováno v:
Automation, Vol 5, Iss 3, Pp 213-229 (2024)
The rising demand to efficiently acquire live production data has added more significance to automated monitoring and reporting within the industrial manufacturing sector. Real-time parts screening requiring repetitive human intervention for data inp
Externí odkaz:
https://doaj.org/article/21f5589cac184b648d8a31d6887cff66
Publikováno v:
Artificial Intelligence in Agriculture, Vol 12, Iss , Pp 19-28 (2024)
Since determining the weight of pigs during large-scale breeding and production is challenging, using non-contact estimation methods is vital. This study proposed a novel pig weight prediction method based on a modified mask region-convolutional neur
Externí odkaz:
https://doaj.org/article/bd32836b15614078b8bfaf003bbd393c