With the recent advancements in radar systems, radar sensors offer a promising and
effective perception of the surrounding. This includes target detection, classification and …

Target localization and classification from radar point clouds is a challenging task due to the
inherently sparse nature of the data with highly non-uniform target distribution. This work …

The inherent smaller radar cross sections of vulnerable road users resulting in smaller
signal-to-noise-ratios make an accurate detection of them somewhat challenging. Mutual …

When deep learning is applied to intelligent textile defect detection, the insufficient training
data may result in low accuracy and poor adaptability of varying defect types of the trained …

Generative Adversarial Networks (GANs) play a crucial role in the dynamic fields of artificial
intelligence and computer vision, notably impacting image-to-image translation. This study …

Predicting today's utilization of energy will determine how powerful it is in the future.
Generators can change their output by foreseeing the demand for electricity. As a result …

In recent years, connected vehicles have paved the way for safer and more automated
transportation systems. These vehicles rely heavily on Advanced Driving Assistance …

Both pedestrians and cyclists as vulnerable road users (VRUs) always exhibit agile and
complex behaviors whose safety protection has attracted the highest priority concerns in the …

This study provides a comprehensive comparison of the different algorithms implemented on
a reservoir system, and the results are statistically analyzed from the results of other …