User profiles for Yonggang Liu

Yonggang Liu

- Verified email at usf.edu - Cited by 5666

Yonggang Liu

- Verified email at cqu.edu.cn - Cited by 4365

Yonggang Liu

- Verified email at pku.edu.cn - Cited by 1011

[HTML][HTML] Rectification of the bias in the wavelet power spectrum

Y Liu, X San Liang… - Journal of Atmospheric and …, 2007 - journals.ametsoc.org
Yonggang Liu Yonggang Liu College of Marine Science, University of South Florida,
Saint Petersburg, Florida, and School of Oceanography, University of Washington, Seattle …

Research on a multi-objective hierarchical prediction energy management strategy for range extended fuel cell vehicles

Y Liu, J Li, Z Chen, D Qin, Y Zhang - Journal of Power Sources, 2019 - Elsevier
In this paper, a multi-objective hierarchical prediction energy management strategy is proposed
to achieve optimal fuel cell life economy and energy consumption economy for a range …

Performance evaluation of the self‐organizing map for feature extraction

Y Liu, RH Weisberg… - Journal of Geophysical …, 2006 - Wiley Online Library
Despite its wide applications as a tool for feature extraction, the Self‐Organizing Map (SOM)
remains a black box to most meteorologists and oceanographers. This paper evaluates the …

A review of self-organizing map applications in meteorology and oceanography

Y Liu, RH Weisberg - Self-organizing maps: applications and …, 2011 - books.google.com
Coupled ocean-atmosphere science steadily advances with increasing information obtained
from long-records of in situ observations, multiple-year archives of remotely sensed satellite …

State of health estimation for lithium-ion batteries based on temperature prediction and gated recurrent unit neural network

…, H Zhao, Y Zhang, S Shen, J Shen, Y Liu - Journal of Power Sources, 2022 - Elsevier
Accurate state of health estimation for lithium-ion batteries is crucial to ensure the safety and
reliability of electric vehicles. This study presents an accurate state of health estimation …

[PDF][PDF] State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives

X Shu, S Shen, J Shen, Y Zhang, G Li, Z Chen, Y Liu - Iscience, 2021 - cell.com
Accurate state of health (SOH) prediction is significant to guarantee operation safety and
avoid latent failures of lithium-ion batteries. With the development of communication and …

Patterns of ocean current variability on the West Florida Shelf using the self‐organizing map

Y Liu, RH Weisberg - Journal of Geophysical Research …, 2005 - Wiley Online Library
Patterns of ocean current variability are examined on the West Florida Shelf by a neural
network analysis based on the self‐organizing map (SOM), using time series of moored velocity …

Tracking the Deepwater Horizon oil spill: A modeling perspective

Y Liu, RH Weisberg, C Hu… - Eos, Transactions …, 2011 - Wiley Online Library
The Deepwater Horizon oil spill was caused by a drilling rig explosion on 20 April 2010 that
killed 11 people. It was the largest oil spill in US history and presented an unprecedented …

Evaluation of a coastal ocean circulation model for the Columbia River plume in summer 2004

Y Liu, P MacCready, BM Hickey… - Journal of …, 2009 - Wiley Online Library
Realistic hindcast of the Columbia River estuarine‐plume‐shelf circulation in summer 2004
using the Regional Ocean Modeling System nested within the Navy Coastal Ocean Model (…

[HTML][HTML] Two-stage aging trajectory prediction of LFP lithium-ion battery based on transfer learning with the cycle life prediction

Z Zhou, Y Liu, M You, R Xiong, X Zhou - Green Energy and Intelligent …, 2022 - Elsevier
With the wide application of the LFP lithium-ion batteries, more attention is paid to the battery
life and future aging behaviors as the safety and performance of the battery are guaranteed …