Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hanyang Zhu"'
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Approximately 85% of histological subtypes of thyroid cancer are papillary thyroid cancer (PTC), and the morbidity and mortality of PTC patients rapidly increased due to lymph node metastases or distant metastasis. Therefore, it needs to distill an e
Externí odkaz:
https://doaj.org/article/21a19c99a4c44ee4a5a9f7cbf9cb5d1d
Publikováno v:
Aging and disease. 14:229
Publikováno v:
Aging & Disease; Feb2023, Vol. 14 Issue 1, p229-244, 16p
Publikováno v:
Frontiers in oncology. 12
Approximately 85% of histological subtypes of thyroid cancer are papillary thyroid cancer (PTC), and the morbidity and mortality of PTC patients rapidly increased due to lymph node metastases or distant metastasis. Therefore, it needs to distill an e
Publikováno v:
Sustainability
Volume 13
Issue 14
Sustainability, Vol 13, Iss 7799, p 7799 (2021)
Volume 13
Issue 14
Sustainability, Vol 13, Iss 7799, p 7799 (2021)
During tea cultivation, diverse agroforestry is an important and established intercropping measure, with most studies concentrating on ecological service provision and economic returns. However, the response of soil nutrients and microbial community
Publikováno v:
Sensors, Vol 24, Iss 19, p 6258 (2024)
The paper presents a vision-based obstacle avoidance strategy for lightweight self-driving cars that can be run on a CPU-only device using a single RGB-D camera. The method consists of two steps: visual perception and path planning. The visual percep
Externí odkaz:
https://doaj.org/article/f0a134cd7de448cb890e424b793166e0
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 4, Pp 989-999 (2023)
Self-driving General N-trailers (GNT) vehicles are one of the future solutions to build intelligent factory due to its flexibility and large load. Maneuvering of GNT vehicle to its destination requires accurate and robust motion planning. But the nar
Externí odkaz:
https://doaj.org/article/da0159cf9edf4f8e86be207b53a2dc28
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 4, Pp 471-480 (2023)
In recent years, vehicle detection in intelligent transportation systems using 3D LIDAR point clouds based on deep neural networks has made substantial progress. However, when the point clouds are very sparse, the detection model cannot generate prop
Externí odkaz:
https://doaj.org/article/a6321c36193e48aead6dfca606825565