The growing interest in unmanned aerial vehicles (UAVs) from both the scientific and
industrial sectors has attracted a wave of new researchers and substantial investments in …

The digital landscape of the Internet of Energy (IoE) is on the brink of a revolutionary
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …

Automatic speech recognition (ASR) has recently become an important challenge when
using deep learning (DL). It requires large-scale training datasets and high computational …

The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of
deep learning (DL). However, the latter faces various issues, including the lack of data or …

Anomalous behavior identification is the process of detecting behavior that differs from its
normal. These incidents will vary from violence to war, road crashes to kidnap**, and so …

Automating the monitoring of industrial processes has the potential to enhance efficiency
and optimize quality by promptly detecting abnormal events and thus facilitating timely …

Abstract The use of Artificial Intelligence (AI) technologies in buildings can assist in reducing
energy consumption through enhanced control, automation, and reliability. This review aims …

In recent years, deep learning has been extensively applied to bearing fault diagnosis with
remarkable achievements. However, in real industrial scenarios, the primary challenge in …

Accurate parameter estimation of the equivalent circuit model (ECM) for Li-Ion batteries
(LiBs) allows for better behavior modeling and understanding. This is crucial for various …

Numerous studies have affirmed that artificial intelligence (AI) can effectively enable energy
savings in factories. However, there is currently a lack of explicit research that identifies the …