Accurate capacity estimation is important to ensure the safe operation of battery. Current
data-driven capacity estimation methods mainly rely on large volume charging or …

Particulate materials, such as sandy soil, are everywhere in nature and form the basis for
many engineering applications. The aim of this research is to investigate the particle shape …

The accurate prediction of the remaining useful life (RUL) of Li-ion batteries holds significant
importance in the field of predictive maintenance, as it ensures the reliability and long-term …

Backfat thickness (BF) is closely related to the service life and reproductive performance of
sows. The dynamic monitoring of sows' BF is a critical part of the production process in large …

In recent years, the rapid evolution of transportation electrification has been propelled by the
widespread adoption of lithium-ion batteries (LIBs) as the primary energy storage solution …

Introduction Atmospheric temperature affects the growth and development of plants and has
an important impact on the sustainable development of forest ecological systems. Predicting …

Lithium batteries play a crucial role in powering modern technology due to their high energy
density, long life span, low self-discharge rate, making them indispensable for numerous …

The accurate estimation of the state of health (SOH) based on deep learning is a key factor
to ensure the reliability and safety of battery and plays an important role in the field of new …

Estimating global horizontal irradiance (GHI) with a high level of accuracy and precision is
very challenging due to the volatile climate parameters and location constraints. To …

G-Lattices—a novel family of periodic lattice structures introduced by Arash Armanfar and
Erkan Gunpinar—demonstrate diverse mechanical properties owing to their generatively …