Proper operations of transformer have several issues such as; preventing of unscheduled removal's, increasing of reliability and continues supply of consumer demand. This result would be ...

Ultrasound images suffer of multiplicative noise named speckle. Different de-speckling algorithms run either in spatial domain or in transformed domain. In this paper, an adaptive filter in spatial domain ...

Association rules are among important techniques in data mining which are used for extracting hidden patterns and knowledge in large volumes of data. Association rules help individuals and organizations take strategic ...

Human action recognition is an important problem in computer vision. One of the methods that are recently used is sparse coding. Conventional sparse coding algorithms learn dictionaries and codes in an unsupervised ...

The Capacitated Vehicle Routing Problem (CVRP) is a well-known combinatorial optimization problem that holds a central place in logistics management. The Vehicle Routing is an applied task in the industrial ...

Each license plate recognition system is composed of three main parts, namely, license plate detection, character segmentation and character recognition. In this paper, we focus on the improvement and innovation of the ...

Finding frequent patterns plays a key role in exploring association patterns, correlation, and many other interesting relationships that are applicable in TDB. Several association rule mining algorithms such as Apriori, ...