Zobrazeno 1 - 10
of 2 815
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:
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
Autor:
Shufan Zhang, Yue Wu, Michael Skaro, Jia-Hwei Cheong, Amanda Bouffier-Landrum, Isaac Torrres, Yinping Guo, Lauren Stupp, Brooke Lincoln, Anna Prestel, Camryn Felt, Sedona Spann, Abhyuday Mandal, Nancy Johnson, Jonathan Arnold
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract The presence of Arbuscular Mycorrhizal Fungi (AMF) in vascular land plant roots is one of the most ancient of symbioses supporting nitrogen and phosphorus exchange for photosynthetically derived carbon. Here we provide a multi-scale modeling
Externí odkaz:
https://doaj.org/article/9423b18c9e034f03906d5494fcae7410
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
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37167- (2024)
With the advancement of technology in recent years, the application of artificial intelligence in real life has become more extensive. Graphic recognition is a hot spot in the current research of related technologies. It involves machines extracting
Externí odkaz:
https://doaj.org/article/d4b455e488124e5eb02f7fa5bc36a650
Publikováno v:
Smart Agricultural Technology, Vol 8, Iss , Pp 100448- (2024)
Deep learning (DL) based instance segmentation has attracted a growing research interest in the scientific community to tackle precision agriculture problems over the past few years. However, accurate crop detection and localization in complex enviro
Externí odkaz:
https://doaj.org/article/ee33bbb45b0f47f9888a5c5fa92373e9