Abstract In Machine Learning (ML), Feature Selection (FS) plays a crucial part in reducing
data's dimensionality and enhancing any proposed framework's performance. However, in …

Abstract 3D object recognition and pattern recognition are active and fast-growing research
areas in the field of computer vision. It is mandatory to define the pattern class, feature …

Multi-sensor data fusion technology plays an important role in real applications. Because of
the flexibility and effectiveness in modeling and processing the uncertain information …

Fingerprint plays a fundamental role in community security and criminal investigation, such
as forensic investigation, law enforcement, customs access and public security organs. This …

General purpose computation using Graphic Processing Units (GPUs) is a well‐established
research area focusing on high‐performance computing solutions for massively …

Abstract Different features of Magnetic Barkhausen Noise (MBN) represent distinctive
characteristics of material stress states, microstructures and domain wall (DW) behaviors …

The primary goal of pattern recognition is supervised or unsupervised classification. Among
the various frameworks in which pattern recognition has been traditionally formulated, the …

Deep Learning algorithms (DL) have been applied in different domains such as computer
vision, image detection, robotics and speech processing, in most cases, DL demonstrated …

Fingerprint classification is a stage of biometric identification systems that aims to group
fingerprints and reduce search times and computational complexity in the databases of …

The accurate ground-based cloud classification is a challenging task and still under
development. The most current methods are limited to only taking the cloud visual features …