Due to the excellent energy-saving and environmental protection features, electric vehicles
(EVs) are gaining significant market penetration, especially in densely populated urban …

Real-world networks are usually sparse and high-dimensional representations that occupy
considerable storage space and increase the computational complexity when performing …

Nowadays, video surveillance systems are commonly found in most public and private
spaces. These systems typically consist of a network of cameras that feed into a central …

Study explores the potential of a deep learning-based approach for predicting the current
efficiency of aluminium sacrificial anodes in marine environments. The model takes into …

Fierce marketing competition and varied customer requirements on products make a lot of
companies transfer to the customisation strategy. However, customers may be overwhelmed …

Rapid and accurate fault diagnosis of smart meters can greatly improve the operational and
maintenance ability of power systems. Focusing on the historical fault data information of …

In order to effectively utilize the large amount of high-dimensionality historical data
generated by energy meters during operation, this paper proposes a DBN-MLP fusion …

Focusing on the “human–sport-clothing” system, this paper analyzed the influence of
combinations of different tights and sport states on human body parts and overall body …

Machine learning is a subset of artificial intelligence in which a machine has an ability to
learn and employ complex algorithms to impersonate human behavior. Development of a …