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搜索结果: 1-15 共查到Optimal相关记录1148条 . 查询时间(0.486 秒)
Detailed knowledge about tree species composition is of great importance for?forest?management. The two identical European Space Agency (ESA) Sentinel-2 (S2) satellites provide data with unprecedented...
2023年10月7日,Nature plants在线发表了南京农业大学李姗教授团队题为“Improving rice nitrogen-use efficiency by modulating a novel monouniquitination machinery for optimal root plasticity response to nitrogen”的研究论文。该团队在水稻中鉴定到一...
我国中低温地热直接利用世界第1,包括温泉洗浴、空间供暖等;高温地热资源储量虽然丰富,但其发电仅排世界第18,利用率不高。裂隙岩溶型地热资源作为主要高温地热资源类型,我国隐伏碳酸盐岩面积达250万平方公里以上,初步估算0-3km深度区间的热能量相当于5000-50000亿吨标煤,雄安是典型地区;同时,我国油气伴生缝洞型地热资源丰富,具有埋藏深、温度高的特点。对此,基于离散缝洞网络模型,形成了考虑渗流...
We propose a general framework of mass transport between vector-valued measures, which will be called simultaneous mass transport. The new framework is motivated by the need to transport resources of ...
In this talk, we consider the large time behavior of the weak solution to the free boundary problem for one-dimensional isentropic compressible Navier-Stokes equations with degenerate viscosity and va...
The optimal planning of condition-based maintenance strategy based on the degradation process is of great concerned in the past few years. A lifetime delayed degradation process with heterogenous degr...
In big data era, subsampling or sub-data selection techniques are often adopted to extract a fraction of informative individuals from the massive data. Existing subsampling algorithms focus mainly on ...
In this talk we discuss inverse optimal control for the case where only the output measurements are available. By considering the inverse problem as an identification problem, the focus of the talk is...
In this talk we discuss inverse optimal control for the case where only the output measurements are available. By considering the inverse problem as an identification problem, the focus of the talk is...
Optimal control, reinforcement learning and other optimization-based methods have been widelyapplied to control synthesis for real systems in physics, biology and robotics. However, in many complicate...
The human brain uses more energy than any other organ in the body, requiring as much as 20% of the body’s total energy. While this may sound like a lot, the amount of energy would be even higher if th...
近日,中国地质大学机电学院葛明峰教授团队在智能电网领域顶级期刊《IEEE Transactions on Smart Grid》(IF=8.96)上刊发研究成果—Distributed CPS-based Secondary Control of Microgrids with Optimal Power Allocation and Limited Communication。该文针对受限的通信...
强大学习(Reinforcement Learning, RL),又称再励学习、评价学习或增强学习,是机器学习的范式和方法论之一,用于描述和解决智能体(agent)在与环境的交互过程中通过学习策略以达成回报最大化或实现特定目标的问题。在过去的几十年中,强化学习在许多领域中取得了巨大的成功,尤其是由谷歌(Google)旗下DeepMind公司戴密斯·哈萨比斯领衔的团队开发的AlphaGo,它是第一个...
We present preprocessing-MPC schemes of arithmetic functions with optimal round complexity, function-independent correlated randomness, and communication and space complexities that grow linearly with...
Polymorphism detection in woody plant species is important in phylogenetics and an essential stage in plant breeding programs. Genotyping has benefitted from the development of next-generation sequenc...

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