Zobrazeno 1 - 10
of 335
pro vyhledávání: '"Zhang Zezhong"'
Publikováno v:
Guan'gai paishui xuebao, Vol 42, Iss 8, Pp 80-89 (2023)
【Objective】 Drought is the most important abiotic stress affecting crop production in North China. Understanding its characteristics is essential to agricultural management. This paper is to investigate the spatiotemporal variation in drought fro
Externí odkaz:
https://doaj.org/article/0e336bff8c574284961ddcfc08ea8e4f
Autor:
De Backer Annick, Zhang Zezhong, Sánchez-Iglesias Ana, Liz-Marzán Luis M., Nellist Peter D., Bals Sara, Şentürk Duygu G., Hao Yansong, Findlay Scott, Van Aert Sandra
Publikováno v:
BIO Web of Conferences, Vol 129, p 06024 (2024)
Externí odkaz:
https://doaj.org/article/edda007d8a2140908f2dd62f784f792e
Autor:
Nakashima Philip, Shao Yu-Tsun, Zhang Zezhong, Smith Andrew, Liu Tianyu, Medhekar Nikhil, Etheridge Joanne, Bourgeois Laure, Zuo Jian-Min
Publikováno v:
BIO Web of Conferences, Vol 129, p 07008 (2024)
Externí odkaz:
https://doaj.org/article/c09d99860bc74e879f8f1ee7d56993dd
Publikováno v:
Guan'gai paishui xuebao, Vol 41, Iss 8, Pp 122-129 (2022)
【Objective】 Drought is an abiotic stress affecting agricultural production in almost every country across the world. Understanding its spatiotemporal variation is essential to improving water management under climate change. The purpose of this p
Externí odkaz:
https://doaj.org/article/153ce5697ef6465aa8361e34dee09cef
We propose nonuniform data-driven parameter distributions for neural network initialization based on derivative data of the function to be approximated. These parameter distributions are developed in the context of non-parametric regression models ba
Externí odkaz:
http://arxiv.org/abs/2410.02132
By working out the Bethe sum rule, a boundary condition that takes the form of a linear equality is derived for the fine structure observed in ionization edges present in electron energy-loss spectra. This condition is subsequently used as a constrai
Externí odkaz:
http://arxiv.org/abs/2408.11870
Autor:
Zhang, Zezhong, Lobato, Ivan, Brown, Hamish, Lamoen, Dirk, Jannis, Daen, Verbeeck, Johan, Van Aert, Sandra, Nellist, Peter D.
The rich information of electron energy-loss spectroscopy (EELS) comes from the complex inelastic scattering process whereby fast electrons transfer energy and momentum to atoms, exciting bound electrons from their ground states to higher unoccupied
Externí odkaz:
http://arxiv.org/abs/2405.10151
In the 6G era, real-time radio resource monitoring and management are urged to support diverse wireless-empowered applications. This calls for fast and accurate estimation on the distribution of the radio resources, which is usually represented by th
Externí odkaz:
http://arxiv.org/abs/2402.02729
The impressive expressive power of deep neural networks (DNNs) underlies their widespread applicability. However, while the theoretical capacity of deep architectures is high, the practical expressive power achieved through successful training often
Externí odkaz:
http://arxiv.org/abs/2312.12578
This paper tackles the intricate task of jointly estimating state and parameters in data assimilation for stochastic dynamical systems that are affected by noise and observed only partially. While the concept of ``optimal filtering'' serves as the cu
Externí odkaz:
http://arxiv.org/abs/2312.10503