Complex-valued neural networks (CVNNs) have shown their excellent efficiency compared
to their real counter-parts in speech enhancement, image and signal processing …

Artificial neural networks (ANNs) based machine learning models and especially deep
learning models have been widely applied in computer vision, signal processing, wireless …

Industrial process data is complex time series data including trend and periodicity. However,
the existing soft sensor models only focus on the time series context. Therefore, a novel …

Artificial neural networks (ANNs), particularly those employing deep learning models, have
found widespread application in fields such as computer vision, signal processing, and …

The face is one of the most reliable and easy-to-acquire biometric features, widely used for
the recognition of individuals. In controlled environments facial recognition systems are …

Nowadays research has explored to extracting auxiliary information from various biometrie
techniques such as fingerprints, face, iris, palm, voice etc. This information contains some …

From the past few years, much exertion has been carried out for age assessment &
recognition of gender through face images. The images of Human's faces uncover different …

Accelerated MR imaging refers to diagnostic-quality image reconstruction using
undersampled MR sensor data (k-space). This involves acquiring fewer samples than …

Due to various factors that cause visual alterations in the collected facial images, gender
classification based on image processing continues to be a performance challenge for …

Complex-Valued Neural Networks (CVNN) have shown to be a promising type of Artificial
Neural Networks (ANN) when compared to its real-valued counter-parts. However, it has …