Estimation of lithium-ion battery discharge capacity by integrating optimized explainable-AI and stacked LSTM model
Accurate lithium-ion battery state of health evaluation is crucial for correctly operating and
managing battery-based energy storage systems. Experimental determination is problematic …
managing battery-based energy storage systems. Experimental determination is problematic …
Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life
Prognostics aims at determining whether a failure of an engineered system (eg, a nuclear
power plant) is impending and estimating the remaining useful life (RUL) before the failure …
power plant) is impending and estimating the remaining useful life (RUL) before the failure …
[图书][B] Intelligent systems for engineers and scientists: a practical guide to artificial intelligence
AA Hopgood - 2021 - taylorfrancis.com
The fourth edition of this bestselling textbook explains the principles of artificial intelligence
(AI) and its practical applications. Using clear and concise language, it provides a solid …
(AI) and its practical applications. Using clear and concise language, it provides a solid …
An ensemble learning-based prognostic approach with degradation-dependent weights for remaining useful life prediction
Remaining useful life (RUL) prediction is crucial for the implementation of predictive
maintenance strategies. While significant research has been conducted in model-based and …
maintenance strategies. While significant research has been conducted in model-based and …
Resilience-driven system design of complex engineered systems
Most engineered systems are designed with a passive and fixed design capacity and,
therefore, may become unreliable in the presence of adverse events. Currently, most …
therefore, may become unreliable in the presence of adverse events. Currently, most …
Degradation modeling and remaining useful life prediction of aircraft engines using ensemble learning
Degradation modeling and prediction of remaining useful life (RUL) are crucial to
prognostics and health management of aircraft engines. While model-based methods have …
prognostics and health management of aircraft engines. While model-based methods have …
Does phonological short-term memory causally determine vocabulary learning? Toward a computational resolution of the debate
P Gupta, J Tisdale - Journal of memory and language, 2009 - Elsevier
The relationship between nonword repetition ability and vocabulary size and vocabulary
learning has been a topic of intense research interest and investigation over the last two …
learning has been a topic of intense research interest and investigation over the last two …
[PDF][PDF] Recent advances in efficient learning of recurrent networks.
Recurrent neural networks (RNNs) carry the promise of implementing efficient and
biologically plausible signal processing. They both are optimally suited for a wide area of …
biologically plausible signal processing. They both are optimally suited for a wide area of …
A new machine-learning prediction model for slope deformation of an open-pit mine: an evaluation of field data
S Du, G Feng, J Wang, S Feng, R Malekian, Z Li - Energies, 2019 - mdpi.com
Effective monitoring of the slope deformation of an open-pit mine is essential for preventing
catastrophic collapses. It is a challenging task to accurately predict slope deformation. To …
catastrophic collapses. It is a challenging task to accurately predict slope deformation. To …
Ensemble of data-driven prognostic algorithms with weight optimization and k-fold cross validation
The traditional data-driven prognostic approach is to construct multiple candidate algorithms
using a training data set, evaluate their respective performance using a testing data set, and …
using a training data set, evaluate their respective performance using a testing data set, and …