Turing's theory of pattern formation has been used to describe the self-organized periodic patterns in many biological, chemical, and physical systems. However, use such models is hindered by our inability predict, general, which obtained from a given set model parameters. While much known near onset spatial instability, mechanisms underlying selection dynamics away are less understood. Here, w...

Among various practical measures used for restriction of the ground surface settlement in such tunnels driven in soft ground, selection of an appropriate excavation method plays a significant role. In this paper, employing suggested diagram by Yu & Chern, corresponding values of Niayesh tunnel has been inserted into the diagram. Later, two excavation methods namely: central diaphragm and side d...

Spend your few moment to read a book even only few pages. Reading book is not obligation and force for everybody. When you don't want to read, you can get punishment from the publisher. Read a book becomes a choice of your different characteristics. Many people with reading habit will always be enjoyable to read, or on the contrary. For some reasons, this feature selection for data and pattern ...

Feature selection is a pre-processing step, used to improve the mining performance by reducing data dimensionality. Even though there exists a number of feature selection algorithms, still it is an active research area in data mining, machine learning and pattern recognition communities. Many feature selection algorithms confront severe challenges in terms of effectiveness and efficiency, becau...

Feature selection is an important area in the machine learning, specifically in pattern recognition. However, it has not received so many focuses in Writer Identification domain. Therefore, this paper is meant for exploring the usage of feature selection in this domain. Various filter and wrapper feature selection methods are selected and their performances are analyzed using image dataset from...