Zobrazeno 1 - 10
of 833
pro vyhledávání: '"Residual structure"'
Autor:
Wang, Junjiang a, Cheng, Xiaogang b, Guo, Miao c, Yang, Bin c, ⁎, Lyu, Zhihan d, Wang, Faming e
Publikováno v:
In Energy & Buildings 1 February 2025 328
Publikováno v:
Remote Sensing, Vol 16, Iss 23, p 4504 (2024)
The semantic segmentation of laser point clouds is critical for many applications of aerial point clouds. However, most of the existing deep learning networks do not make full use of point cloud data information. PointNet++ was chosen as the baseline
Externí odkaz:
https://doaj.org/article/1868c88111c44787842649fd8562d86f
Publikováno v:
IEEE Access, Vol 12, Pp 183444-183450 (2024)
River water body identification plays an important role in flood monitoring, urban planning, Thus, it attracts more interests of studying and investigating, especially based on remote sensing technology, The traditional NDWI (Normalized Difference Wa
Externí odkaz:
https://doaj.org/article/7f8668698acf4704b05afbe1a061d630
Autor:
Hanmi Zhou, Jiageng Chen, Xiaoli Niu, Zhiguang Dai, Long Qin, Linshuang Ma, Jichen Li, Yumin Su, Qi Wu
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Rapid and accurate identification and timely protection of crop disease is of great importance for ensuring crop yields. Aiming at the problems of large model parameters of existing crop disease recognition methods and low recognition accuracy in the
Externí odkaz:
https://doaj.org/article/5094d604df3247f89b2e727c9ff6da06
Publikováno v:
Electronic Research Archive, Vol 31, Iss 8, Pp 4362-4377 (2023)
The road network system is the core foundation of a city. Extracting road information from remote sensing images has become an important research direction in the current traffic information industry. The efficient residual factorized convolutional n
Externí odkaz:
https://doaj.org/article/44a0e3a67a944321a2171e085b636d9f
Publikováno v:
Agronomy, Vol 14, Iss 7, p 1587 (2024)
The accurate identification of corn leaf diseases is crucial for preventing disease spread and improving corn yield. Plant leaf images are often affected by factors such as complex backgrounds, climate, light, and sample data imbalance. To address th
Externí odkaz:
https://doaj.org/article/c83f7880ec2b4302a103d932b55fc793
Publikováno v:
Sensors, Vol 24, Iss 13, p 4132 (2024)
In the context of Industry 4.0, bearings, as critical components of machinery, play a vital role in ensuring operational reliability. The detection of their health status is thus of paramount importance. Existing predictive models often focus on poin
Externí odkaz:
https://doaj.org/article/41216fdc8f504f70a61644426760de7c
Publikováno v:
Mathematics, Vol 12, Iss 10, p 1464 (2024)
Tomographic Synthetic Aperture Radar (TomoSAR) building object height inversion is a sparse reconstruction problem that utilizes the data obtained from several spacecraft passes to invert the scatterer position in the height direction. In practical a
Externí odkaz:
https://doaj.org/article/ccb3144cd26a4c0796bc0473d93eb64f
Autor:
Leiyi Gao, Jiao Li, Ruixin Zhang, Hailu Hanna Bekele, Junzhu Wang, Yining Cheng, Hongxia Deng
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
Computer-aided diagnosis has emerged as a rapidly evolving field, garnering increased attention in recent years. At the forefront of this field is the segmentation of lesions in medical images, which is a critical preliminary stage in subsequent trea
Externí odkaz:
https://doaj.org/article/0bd9f22df8504793aab65a306a1cf900
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 6, Pp 10954-10976 (2023)
For the problems of blurred edges, uneven background distribution, and many noise interferences in medical image segmentation, we proposed a medical image segmentation algorithm based on deep neural network technology, which adopts a similar U-Net ba
Externí odkaz:
https://doaj.org/article/5279f20c4ff540f98fe6577e2322d0c5