Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Xiangyu Ning"'
Autor:
Jian Lu, Hongkun Fu, Xuhui Tang, Zhao Liu, Jujian Huang, Wenlong Zou, Hui Chen, Yue Sun, Xiangyu Ning, Jian Li
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Accurately estimating large-area crop yields, especially for soybeans, is essential for addressing global food security challenges. This study introduces a deep learning framework that focuses on precise county-level soybean yield estimation
Externí odkaz:
https://doaj.org/article/b553cc3485c24f2a9f801d3181e13ba6
Publikováno v:
Agriculture, Vol 14, Iss 6, p 794 (2024)
The accurate prediction of crop yields is crucial for enhancing agricultural efficiency and ensuring food security. This study assesses the performance of the CNN-LSTM-Attention model in predicting the yields of maize, rice, and soybeans in Northeast
Externí odkaz:
https://doaj.org/article/4fbed6f2579c48188b4cd808605b2c17
Publikováno v:
Frontiers in Neurorobotics, Vol 13 (2019)
Externí odkaz:
https://doaj.org/article/ad8614d855764ba4ade1e7513cfa78cb
Safe navigation is one of the steps necessary for achieving autonomous control of robots. Among different algorithms that focus on robot navigation, Reinforcement Learning (and more specifically Deep Reinforcement Learning) has shown impressive resul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d97d879be35a34b6d4fc052f123c8dd
Publikováno v:
IROS
Learning by imitation is a powerful way that can reduce the complexly in searching space. It could help the mobile robot to acquire new skills from interaction with a human-being in natural way. In this paper, the dynamic movement primitives (DMPs) i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::264999f11318b4657444098053cdcf39
https://doi.org/10.1109/iros40897.2019.8968277
https://doi.org/10.1109/iros40897.2019.8968277