This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …

Lithium-ion batteries are the most widely used energy storage devices, for which the
accurate prediction of the remaining useful life (RUL) is crucial to their reliable operation and …

The success of portfolio construction depends primarily on the future performance of stock
markets. Recent developments in machine learning have brought significant opportunities to …

Battery ensures power solutions for many necessary portable devices such as electric
vehicles, mobiles, and laptops. Owing to the rapid growth of Li-ion battery users, unwanted …

Significant progress has been made in transportation electrification in recent years. As the
main energy storage device, lithium-ion batteries are one of the key components that need …

Predictive maintenance of lithium-ion batteries has been one of the popular research
subjects in recent years. Lithium-ion batteries can be used as the energy supply for …

Early prediction of battery remaining useful life (RUL) is critical to ensure a steady energy
supply and the effective usage of energy. To reduce the amount of degradation data …

According to the United States environmental protection agency (EPA), every burned gallon
of gasoline generates 8.87 Kg of CO2. The pollution created by vehicles' fuel consumption …

Lithium-ion batteries play an important role in our daily lives. The prediction of the remaining
service life of lithium-ion batteries has become an important issue. This article reviews the …

Bearings are a core component of rotating machinery, and directly affect its reliability and
operational efficiency. Effective evaluation of a bearing's operational state is key to ensuring …