Zobrazeno 1 - 10
of 1 143
pro vyhledávání: '"faster-RCNN"'
Autor:
Abdelaadim Khriss, Aissa Kerkour Elmiad, Mohammed Badaoui, Alae-Eddine Barkaoui, Yassine Zarhloule
Publikováno v:
Journal of Ecological Engineering, Vol 25, Iss 7, Pp 58-69 (2024)
In this paper, we present a comparative evaluation of state-of-the-art deep learning models for object detection in underwater environments, with a focus on marine debris detection. We investigate the performance of four prominent object detection mo
Externí odkaz:
https://doaj.org/article/3a791da2aea7410cb1a7641e948b1bf1
Autor:
Eden Tekle, Kokeb Dese, Selfu Girma, Wondimagegn Adissu, Janarthanan Krishnamoorthy, Timothy Kwa
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Leishmaniasis is a vector-born neglected parasitic disease belonging to the genus Leishmania. Out of the 30 Leishmania species, 21 species cause human infection that affect the skin and the internal organs. Around, 700,000 to 1,00
Externí odkaz:
https://doaj.org/article/b054d5d0d59943ffa957ed4ed1fed611
Autor:
Mengya Gao
Publikováno v:
IEEE Access, Vol 12, Pp 112896-112904 (2024)
This paper delves into the assessment of public engagement and the categorization of emotional states to gain deeper insights into individuals’ involvement in the revitalization of historical communities and their emotional experiences during this
Externí odkaz:
https://doaj.org/article/6957fa1d121640d8b319850698acb440
Publikováno v:
IEEE Access, Vol 12, Pp 110781-110797 (2024)
Machine learning and deep neural network developments have evolved image classification. This study offers a new neural network design with segmentation and localization, different crack types, categorization accuracy, and efficiency. In the proposed
Externí odkaz:
https://doaj.org/article/fdc84abc7a2e4c17b0c207d78b6794f2
Publikováno v:
IEEE Access, Vol 12, Pp 66442-66452 (2024)
Incomplete assembly could affect product quality and performance, and even cause inestimable losses. In the industrial environment, the lack of image datasets and the inability to obtain the physical assembly in advance is a challenge for machine vis
Externí odkaz:
https://doaj.org/article/73a8ace28ff147f8a1913fa0a8783c74
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 119-128 (2024)
The objective of this study was to develop an interpretable system that could detect specific lung features in neonates. A challenging aspect of this work was that normal lungs showed the same visual features (as that of Pneumothorax (PTX)). M-mode i
Externí odkaz:
https://doaj.org/article/f75faa5760294907b47462ead1996b5f
Publikováno v:
Symmetry, Vol 16, Iss 8, p 1027 (2024)
In recent years, computer vision technology has been extensively applied in the field of defect detection for transportation infrastructure, particularly in the detection of road surface cracks. Given the variations in performance and parameters acro
Externí odkaz:
https://doaj.org/article/10963a59029e4e85bdf04a2669ef30aa
Autor:
Xiaohu WANG
Publikováno v:
南方能源建设, Vol 10, Iss 4, Pp 131-137 (2023)
[Introduction] At present in China, the ships near offshore wind power platforms are mainly monitored by means of the ship AIS system and remote cameras. Such means lacking information technology often require a lot of manpower and material resources
Externí odkaz:
https://doaj.org/article/33e3057098994ab2866f2e3419d93c33
Publikováno v:
Sensors, Vol 24, Iss 7, p 2283 (2024)
Accurately and effectively detecting the growth position and contour size of apple fruits is crucial for achieving intelligent picking and yield predictions. Thus, an effective fruit edge detection algorithm is necessary. In this study, a fusion edge
Externí odkaz:
https://doaj.org/article/2db248cbd3ef4ec8882038776a58407d
Autor:
Kayal Lakshmanan, Matt Roach, Cinzia Giannetti, Shubham Bhoite, David George, Tim Mortensen, Manduhu Manduhu, Behzad Heravi, Sharadha Kariyawasam, Xianghua Xie
Publikováno v:
AI, Vol 4, Iss 2, Pp 461-481 (2023)
Vehicle detection in parking areas provides the spatial and temporal utilisation of parking spaces. Parking observations are typically performed manually, limiting the temporal resolution due to the high labour cost. This paper uses simulated data an
Externí odkaz:
https://doaj.org/article/a423f2aab17b489f8602ac121e509dc9