The excessive use of power semiconductor devices in a grid utility increases the malfunction
of the control system, produces power quality disturbances (PQDs) and reduces the …

In this paper, an improved principal component analysis (IPCA) is presented for face feature
representation. IPCA is mainly designed to extract the useful information from original face …

In the context of global efforts to mitigate climate change by pursuing sustainable energy
sources, wind energy has emerged as a critical contributor. However, the wind energy …

Some challenges of developing face recognition system is to train examples of different
poses, illuminations, contrast and background conditions. Even though if the system works …

Nowadays research has been developed by many security facilities such as fingerprint,
palm biometric and different biometrics. This information contains about comparisons of face …

Strip steel wrinkling is one of the common problems in strip steel production line. The
wrinkling phenomenon has a serious impact on the quality of the products, resulting in …

Sparse representation based on classification and collaborative representation based
classification with regularized least square has been successfully used in face recognition …

Recent research proves that face recognition systems can achieve high‐quality results even
in non‐ideal environments. Edge detection techniques and feature extraction methods are …

Face recognition is the core application in the biometrie technology area. It is widely used in
the advanced application of robotics and computer vision. Raising commercial of face …

Biometric authentication is a process that validates the user's identity by measuring his
intrinsic characteristics. This process is used to cater for the security-related issues. There …