Computational visual perception, also known as computer vision, is a field of artificial
intelligence that enables computers to process digital images and videos in a similar way as …

Convolutional neural networks (CNNs) are deep neural networks that can be trained on
large databases and show outstanding performance on object classification, segmentation …

Deep learning has become an area of interest to the researchers in the past few years.
Convolutional Neural Network (CNN) is a deep learning approach that is widely used for …

Essential decision-making tasks such as power management in future vehicles will benefit
from the development of artificial intelligence technology for safe and energy-efficient …

Electric vehicles, including plug-in hybrids, are important for achieving net-zero emission
and will dominate road transportation in the future. Energy management, which optimizes …

Machine learning methods are widely used for rolling bearing fault diagnosis. Most of them
are based on a basic assumption that training and testing data are adequate and follow the …

Abstract Multispectral LiDAR (Light Detection And Ranging) is characterized of the
completeness and consistency of its spectrum and spatial geometric data, which provides a …

Objective To evaluate the diagnostic accuracy of keratoconus using deep learning of the
colour-coded maps measured with the swept-source anterior segment optical coherence …

In recent years, air pollution has become a factor that cannot be ignored, affecting human
lives and health. The distribution of high-density populations and high-intensity development …

Multivariate time series analysis in climate and environmental research always requires to
process huge amount of data. Inspired by human nervous system, the artificial neural …