Non-intrusive load monitoring (NILM) is a key cost-effective technology for monitoring power
consumption and contributing to several challenges encountered when transiting to an …

The present study is developed a new approach using a computer diagnostic method to
diagnosing diabetic diseases with the use of fluorescein images. In doing so, this study …

Images are often represented as vectors with high dimensions when involved in
classification. As a result, dimensionality reduction methods have to be developed to avoid …

Many content-based image retrieval (CBIR) methods are being developed to store more and
more information about images in shorter feature vectors and to improve image retrieval …

This paper presents new modeling of local binary patterns for texture representation.
Referred to as local binary gradient contours (LBGC), the proposed models are expected to …

Face recognition is still a very demanding area of research. This problem becomes more
challenging in unconstrained environment and in the presence of several variations like …

Pattern recognition and computer vision fields experienced the proposal of several
architectures and approaches to deal with the demands of real world applications including …

Identifying domestic appliances in the smart grid leads to a better power usage management
and further helps in detecting appliance-level abnormalities. An efficient identification can be …

Abstract The traditional Local Binary Pattern (LBP) employs a 3x3 pixel window and
examines the intensity differences between the center pixel and nearby neighbourhood …

In recent years, the automatic identification of electrical devices through their power
consumption signals finds a variety of applications in smart home monitoring and non …