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State-of-health estimation for lithium-ion battery via an evolutionary Stacking ensemble learning paradigm of random vector functional link and active-state-tracking long–short-term memory neural network

Research article (Applied Energy, 2023) · cited 48× · AI/ML
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State-of-health estimation for lithium-ion battery via an evolutionary Stacking ensemble learning paradigm of random vector functional link and active-state-tracking long–short-term memory neural network

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State-of-health estimation for lithium-ion battery via an evolutionary Stacking ensemble learning paradigm of random vector functional link and active-state-tracking long–short-term memory neural network is a scholarly article[1].

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  • State-of-health estimation for lithium-ion battery via an evolutionary Stacking ensemble learning paradigm of random vector functional link and active-state-tracking long–short-term memory neural network's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). State-of-health estimation for lithium-ion battery via an evolutionary Stacking ensemble learning paradigm of random vector functional link and active-state-tracking long–short-term memory neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/state-of-health-estimation-for-lithium-ion-battery-via-an-evolutionary-stacking-ensemble-learning-paradigm-of-random-vec
MLA “State-of-health estimation for lithium-ion battery via an evolutionary Stacking ensemble learning paradigm of random vector functional link and active-state-tracking long–short-term memory neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/state-of-health-estimation-for-lithium-ion-battery-via-an-evolutionary-stacking-ensemble-learning-paradigm-of-random-vec.
BibTeX @misc{4ortxyz_state-of-health-estimation-for-lithium-ion-battery-via-an-evolutionary-stacking-ensemble-learning-paradigm-of-random-vec_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{State-of-health estimation for lithium-ion battery via an evolutionary Stacking ensemble learning paradigm of random vector functional link and active-state-tracking long–short-term memory neural network}}, year = {2026}, url = {https://4ort.xyz/entity/state-of-health-estimation-for-lithium-ion-battery-via-an-evolutionary-stacking-ensemble-learning-paradigm-of-random-vec}, note = {Accessed: 2026-05-24}}
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