Zobrazeno 1 - 10
of 777
pro vyhledávání: '"Adaptive fusion"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 9, Pp 2487-2500 (2024)
To suppress the effects such as occlusions and posture variations on facial expression recognition in natural scenes, expression recognition network fusing global enhancement and local attention features (GE-LA) is proposed. Firstly, to acquire the e
Externí odkaz:
https://doaj.org/article/80ec8acc7fab4ef5aa6fd49e2ad5b128
Autor:
MA Aiqiang, YAO Wanqiang
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 5, Pp 107-117 (2024)
Mobile robots based on simultaneous localization and mapping (SLAM) technology can quickly, accurately, and automatically collect spatial data for spatial intelligent perception and environmental map construction. It is the key to achieving intellige
Externí odkaz:
https://doaj.org/article/220a320f8c634b6da5693b99c21583bb
Publikováno v:
In Automation in Construction February 2025 170
Publikováno v:
Sensors, Vol 24, Iss 23, p 7425 (2024)
The underwater imaging process is often hindered by high noise levels, blurring, and color distortion due to light scattering, absorption, and suspended particles in the water. To address the challenges of image enhancement in complex underwater envi
Externí odkaz:
https://doaj.org/article/e9e1d419b8194befa524a78178991885
Publikováno v:
Sensors, Vol 24, Iss 21, p 7076 (2024)
Cracks represent one of the most common types of damage in building structures and it is crucial to detect cracks in a timely manner to maintain the safety of the buildings. In general, tiny cracks require focusing on local detail information while c
Externí odkaz:
https://doaj.org/article/ba60e2543d294f3bba51bfe04c461c5f
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103934- (2024)
Fusion of point cloud from different platforms is crucial for enhancing spatial information completeness in large-scale scenes, particularly in urban 3D modeling. To address redundancy, noise, and accuracy degradation in direct registration of point
Externí odkaz:
https://doaj.org/article/532376bd09a34716a4b25f34e1370166
Publikováno v:
IEEE Access, Vol 12, Pp 187255-187264 (2024)
Event extraction is a highly significant information extraction task in natural language processing. Most existing work focuses on flat event extraction, which often fails to effectively address overlapping and nested event extraction, In particular,
Externí odkaz:
https://doaj.org/article/5ff9b03ca669429bb95cc842c63cab3b
Publikováno v:
IEEE Access, Vol 12, Pp 128602-128617 (2024)
Aiming at the problems of dermatoscopic images such as hair occlusion, boundary-blurring, and high color variability, this paper proposes the fusion of Transformers and multi-scale perception modules skin lesion segmentation algorithm, which is refer
Externí odkaz:
https://doaj.org/article/b433a359a4a94d8d87a5ab2e0a0c21dd
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15971-15988 (2024)
Multimodal remote sensing data can portray land-cover characteristics more comprehensively. Deep learning has powerful feature extraction capability. Therefore, deep learning-based methods have been widely used for collaborative classification of hyp
Externí odkaz:
https://doaj.org/article/5bd83829d0284c1cb713ad18a819e91f
Publikováno v:
IEEE Access, Vol 12, Pp 121846-121863 (2024)
Investors’ trading behavior is influenced by a multimode of information sources such as technical analysis, news dissemination, and sentiment, which results in the non-stationary behavior of financial time series. With advancements in deep learning
Externí odkaz:
https://doaj.org/article/909e54fe72f746599363cd0772256dd8