|
|
|
|
|
Xiaojun Zhu, Mingjian Qiu, Pengfei Zhang, Errui Ni, Jianxin Zhang, Li?ao Quan, Hui Liu and Xiaoyu Yang
|
|
|
|
|
|
|
|
|
|
|
Min Hao, Quan Sun, Chuanzhong Xuan, Xiwen Zhang, Minghui Zhao and Shuo Song
To achieve automated farming management, including the recording, tracking, and statistics of sheep, we harness deep learning technology for sheep face recognition research, and the further development of lightweight sheep face recognition models. Deep l...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chenxi Zhang, Zhongfa Zhou, Changli Zhu, Quan Chen, Qing Feng, Meng Zhu, Fang Tang, Xiaopiao Wu, Yan Zou, Fuxianmei Zhang, Jiajia Zheng and Ting Yu
Exploring the evolution of livelihood patterns of farm households relocated for poverty alleviation in three prefectures of Guizhou Province, China, can provide a theoretical basis and practical value for achieving sustainable livelihoods of relocated fa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhi Quan, Hailong Zhang, Jiyu Luo and Haijun Sun
Signal modulation recognition is often reliant on clustering algorithms. The fuzzy c-means (FCM) algorithm, which is commonly used for such tasks, often converges to local optima. This presents a challenge, particularly in low-signal-to-noise-ratio (SNR)...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pietro Betti, Oscar Adriani, Matias Antonelli, Yonglin Bai, Xiaohong Bai, Tianwei Bao, Eugenio Berti, Lorenzo Bonechi, Massimo Bongi, Valter Bonvicini, Sergio Bottai, Weiwei Cao, Jorge Casaus, Zhen Chen, Xingzhu Cui, Raffaello D?Alessandro, Sebastiano Detti, Carlos Diaz, Yongwei Dong, Noemi Finetti, Valerio Formato, Miguel Angel Velasco Frutos, Jiarui Gao, Francesca Giovacchini, Xiaozhen Liang, Ran Li, Xin Liu, Linwei Lyu, Gustavo Martinez, Nicola Mori, Jesus Marin Munoz, Lorenzo Pacini, Paolo Papini, Cecilia Pizzolotto, Zheng Quan, Junjun Qin, Dalian Shi, Oleksandr Starodubtsev, Zhicheng Tang, Alessio Tiberio, Valerio Vagelli, Elena Vannuccini, Bo Wang, Junjing Wang, Le Wang, Ruijie Wang, Gianluigi Zampa, Nicola Zampa, Zhigang Wang, Ming Xu, Li Zhang and Jinkun ZhengaddShow full author listremoveHide full author list
The HERD experiment is a future experiment for the direct detection of high-energy cosmic rays and is to be installed on the Chinese space station in 2027. The main objectives of HERD are the first direct measurement of the knee of the cosmic ray spectru...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kehan Zhang, Na Zhang, Fengmei Quan, Yuan Li and Shaosen Wang
Architectural heritage in historic districts, as a complex type of heritage, encompasses both the uniqueness of the building itself and also shows cultural and regional characteristics as a group, especially for the heritage site that contains multi-cult...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guohong Shen, Shenyi Zhang, Xianguo Zhang, Huanxin Zhang, Bin Yuan, Donghui Hou, Chunqin Wang, Zida Quan, Zhe Yang and Yueqiang Sun
To conduct real-time monitoring of the particle radiation environment in the orbit of the Tiangong space station, the installation of an energy particle detector operating on the outside of Wentian laboratory cabin module is proposed. Monitoring the ener...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhiqian Zhang, Lei Liu, Lin Quan, Guohong Shen, Rui Zhang, Yuqi Jiang, Yuxiong Xue and Xianghua Zeng
Accurately predicting proton flux in the space radiation environment is crucial for satellite in-orbit management and space science research. This paper proposes a proton flux prediction method based on a hybrid neural network. This method is a predictiv...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hui Zhang, Jing Li and Tianshu Quan
Rapid population aging has serious implications for socio-economic development and poses considerable challenges to food security and agricultural economic resilience, issues that are not well understood to date. Against the background of the aging agric...
ver más
|
|
|
|
|
|
|
|
|
|
|
Huilan Shi, Mengping Liu, Shihai Zhu, Zhonghua Duan, Rongrong Wu, Xiaolong Quan, Mengci Chen, Jiexue Zhang and Youming Qiao
To maintain alpine grassland in a healthy and sustainable state, a sound warning system was developed to diagnose its potential degradation risk. Data related to grassland quality (six indicators), habitat (six indicators), and eco-carrying capacity (thr...
ver más
|
|
|
|
|
|
|