Lithium–ion batteries play a crucial role in clean transportation systems including EVs,
aircraft, and electric micromobilities. The design of battery cells and their production process …

Forecasting inflation accurately in a data-rich environment is a challenging task and an
active research field which still contains various unanswered methodological questions. One …

The emergence of black-box, subsymbolic, and statistical AI systems has motivated a rapid
increase in the interest regarding explainable AI (XAI), which encompasses both inherently …

Epilepsy is a neurological disease with one of the highest rates of incidence worldwide.
Although EEG is a crucial tool for its diagnosis, the manual detection of epileptic seizures is …

The majority of energy sources being used today are traditional types. These sources are
limited in nature and quantity. Additionally, they are continuously diminishing as global …

Strict adherence to data integrity and quality standards is crucial for the pharmaceutical
industry to minimize undesired effects and ensure that medicines are of the required quality …

Explainable artificial intelligence (XAI) methods aim to explain to the user on what basis the
model makes decisions. Unfortunately, general-purpose approaches that are independent …

In this study, principal component analysis and k-means clustering (PCAKM) methods for
synthetic aperture radar (SAR) data are analyzed to reduce the sensitivity caused by …

Featured Application The outcomes of this work can be applied to understand better when
and why global time series forecasting models issue incorrect predictions and iteratively …

Deep learning has brought significant advancements in the field of artificial intelligence,
particularly in robotics, imaging, sound processing, etc. However, a common major …