Results 11 to 20 of about 79,319 (254)

The Role of Faster R-CNN Algorithm in the Internet of Things to Detect Mask Wearing: The Endemic Preparations [PDF]

open access: yesInternational Journal of Electronics and Telecommunications, 2023
Faster R-CNN is an algorithm development that continuously starts from CNN then R-CNN and Faster R-CNN. The development of the algorithm is needed to test whether the heuristic algorithm has optimal provisions.
Marah Doly Nasution   +4 more
doaj   +1 more source

Automatic recognition and detection of building targets in urban remote sensing images using an improved regional convolutional neural network algorithm

open access: yesCognitive Computation and Systems, 2023
The accuracy of regional convolutional neural network (R‐CNN) algorithms on image recognition detection remains to be improved. The authors optimised the Mask R‐CNN algorithm and tested it through experiments on the automatic recognition of building ...
Sida Lin
doaj   +1 more source

Pavement Surface Defect Detection Using Mask Region-Based Convolutional Neural Networks and Transfer Learning

open access: yesApplied Sciences, 2022
Pavement defect detection is critical for pavement maintenance and management. Meanwhile, the accurate and timely detection of pavement defects in complex backgrounds is a huge challenge for maintenance work.
Yang He   +6 more
doaj   +1 more source

Boundary-Preserving Mask R-CNN [PDF]

open access: yes, 2020
17 pages, 8 figures.
Cheng, Tianheng   +3 more
openaire   +2 more sources

Enhanced Rotated Mask R-CNN for Chromosome Segmentation [PDF]

open access: yes2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
Karyotyping is an important process for finding chromosome abnormalities that could cause genetic disorders. This process first requires cytogeneticists to arrange each chromosome from the metaphase image to generate the karyogram. In this process, chromosome segmentation plays an important role and it is directly related to whether the karyotyping can
Penglei, Wang   +5 more
openaire   +2 more sources

Mask R-CNN based automated identification and extraction of oil well sites

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2022
Fine-scale land disturbances due to mining development modify the land surface cover and have cumulative detrimental impacts on the environment. Understanding the distribution of fine-scale land disturbances related to mining activities, such as oil well
Hongjie He   +6 more
doaj   +1 more source

Automated Detection of Greenhouse Structures Using Cascade Mask R-CNN

open access: yesApplied Sciences, 2022
Automated detection of the content of images remains a challenging problem in artificial intelligence. Hence, continuous manual monitoring of restricted development zones is critical to maintaining territorial integrity and national security.
Haeng Yeol Oh   +3 more
doaj   +1 more source

Image Enhanced Mask R-CNN: A Deep Learning Pipeline with New Evaluation Measures for Wind Turbine Blade Defect Detection and Classification

open access: yesJournal of Imaging, 2021
Demand for wind power has grown, and this has increased wind turbine blade (WTB) inspections and defect repairs. This paper empirically investigates the performance of state-of-the-art deep learning algorithms, namely, YOLOv3, YOLOv4, and Mask R-CNN for ...
Jiajun Zhang   +2 more
doaj   +1 more source

Research on Insect Pest Identification in Rice Canopy Based on GA-Mask R-CNN

open access: yesAgronomy, 2023
Aiming at difficult image acquisition and low recognition accuracy of two rice canopy pests, rice stem borer and rice leaf roller, we constructed a GA-Mask R-CNN (Generative Adversarial Based Mask Region Convolutional Neural Network) intelligent ...
Sitao Liu   +7 more
doaj   +1 more source

Open Pose Mask R-CNN Network for Individual Cattle Recognition

open access: yesIEEE Access, 2023
Cattle’s individual identification plays a crucial role in effectively managing large farms. To enhance agricultural efficiency, promote the digital transformation of animal husbandry, and improve animal welfare, it is essential to employ advanced
Jianping Wang   +7 more
doaj   +1 more source

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