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Remaining useful life prediction for lithium-ion batteries using particle filter and artificial neural network

PaperCitations, authors & open-access status

Remaining useful life prediction for lithium-ion batteries using particle filter and artificial neural network is a paper indexed in ScholarIQ from OpenAlex.

How many citations does Remaining useful life prediction for lithium-ion batteries using particle filter and artificial neural network have?

ScholarIQcitation count

Remaining useful life prediction for lithium-ion batteries using particle filter and artificial neural network has 65 citations in the OpenAlex counts ScholarIQ stores.

When was Remaining useful life prediction for lithium-ion batteries using particle filter and artificial neural network published?

ScholarIQyear

Remaining useful life prediction for lithium-ion batteries using particle filter and artificial neural network has 2019 year in the ScholarIQ index.

What is the open-access status of Remaining useful life prediction for lithium-ion batteries using particle filter and artificial neural network?

ScholarIQoa status

Remaining useful life prediction for lithium-ion batteries using particle filter and artificial neural network has closed oa status in the ScholarIQ index.

What is the DOI of Remaining useful life prediction for lithium-ion batteries using particle filter and artificial neural network?

ScholarIQdoi

The DOI for Remaining useful life prediction for lithium-ion batteries using particle filter and artificial neural network is on the source record.

What is the OpenAlex record for Remaining useful life prediction for lithium-ion batteries using particle filter and artificial neural network?

ScholarIQopenalex

The OpenAlex for Remaining useful life prediction for lithium-ion batteries using particle filter and artificial neural network is on the source record.

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