Zobrazeno 1 - 10
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pro vyhledávání: '"estimation method"'
Lithium-ion batteries (LIBs) are utilized as a major energy source in various fields because of their high energy density and long lifespan. During repeated charging and discharging, the degradation of LIBs, which reduces their maximum power output a
Externí odkaz:
http://arxiv.org/abs/2410.16749
Autor:
Haman III, George V., Rao, Anil V.
An adaptive mesh refinement and error estimation method for numerically solving optimal control problems is developed using Legendre-Gauss-Radau direct collocation. In regions of the solution where the desired accuracy tolerance has not been met, the
Externí odkaz:
http://arxiv.org/abs/2410.07488
Autor:
Wang, Yingjian, Hai, Yilun, Njoku, Buniechukwu, Kondepu, Koteswararao, Bassoli, Riccardo, Fitzek, Frank H. P.
Error estimation is an important step for error correction in quantum key distribution. Traditional error estimation methods require sacrificing a part of the sifted key, forcing a trade-off between the accuracy of error estimation and the size of th
Externí odkaz:
http://arxiv.org/abs/2411.07160
Contact estimation is a key ability for limbed robots, where making and breaking contacts has a direct impact on state estimation and balance control. Existing approaches typically rely on gate-cycle priors or designated contact sensors. We design a
Externí odkaz:
http://arxiv.org/abs/2410.12345
Soft manipulators are known for their superiority in coping with high-safety-demanding interaction tasks, e.g., robot-assisted surgeries, elderly caring, etc. Yet the challenges residing in real-time contact feedback have hindered further application
Externí odkaz:
http://arxiv.org/abs/2409.08033
We proposed a novel dense line spectrum super-resolution algorithm, the DMRA, that leverages dynamical multi-resolution of atoms technique to address the limitation of traditional compressed sensing methods when handling dense point-source signals. T
Externí odkaz:
http://arxiv.org/abs/2409.00799
Battery management is a critical component of ubiquitous battery-powered energy systems, in which battery state-of-charge (SOC) and state-of-health (SOH) estimations are of crucial importance. Conventional SOC and SOH estimation methods, especially m
Externí odkaz:
http://arxiv.org/abs/2408.01127
This paper introduces an innovative deep learning-based method for end-to-end target radial length estimation from HRRP (High Resolution Range Profile) sequences. Firstly, the HRRP sequences are normalized and transformed into GAF (Gram Angular Field
Externí odkaz:
http://arxiv.org/abs/2407.11620
During the acquisition of satellite images, there is generally a trade-off between spatial resolution and temporal resolution (acquisition frequency) due to the onboard sensors of satellite imaging systems. High-resolution satellite images are very i
Externí odkaz:
http://arxiv.org/abs/2406.10225
Autor:
Guo, Yunhui
Transferability estimation has emerged as an important problem in transfer learning. A transferability estimation method takes as inputs a set of pre-trained models and decides which pre-trained model can deliver the best transfer learning performanc
Externí odkaz:
http://arxiv.org/abs/2405.01603