with respect to population growth and agricultural development in ardabil plain, vulnerability assessment of the plain aquifer is necessary for management of groundwater resources and the prevention of groundwater contamination. in this study, vulnerability of ardabil plain aquifer to pollution was evaluated by drastic method. drastic model was prepared by seven effective parameters on vulnerab...

in this paper we have proposed an approach for emotion detection in implicit texts. we have introduced a combinational system based on three subsystems. each one analyzes input data from a different aspect and produces an emotion label as output. the first subsystem is a machine learning method. the second one is a statistical approach based on vector space model (vsm) and the last one is a key...

The contribution presents an application of a movement-related EEG temporal development classification which improves the classification score of voluntary movements controlled by closely localized regions of the brain. A dynamic Hidden Markov Model-based (HMM) classifier specifically designed to capture EEG temporal behavior was used. Surprisingly, HMM classifiers are rarely used for BCI desig...

Background: Today, with the advancement of technology in various fields, the importance of recording data in the field of health is increasing so much that for many diseases around the world, including kidney disease, registration systems have been set up. This is happening in our country and in the future, the number of these systems will increase. The medical data set contains valuable inform...

Handwriting character recognition is one of the most common research topics. Many approaches have applied to English characters and achieve high accuracy. However, the complexities in the language of each country are not same. Vietnamese handwriting character recognition is facing many problems, most of them come from the accent. This paper focuses on accent recognition, especially when there i...

Generative probability models such as hidden ~larkov models provide a principled way of treating missing information and dealing with variable length sequences. On the other hand , discriminative methods such as support vector machines enable us to construct flexible decision boundaries and often result in classification performance superior to that of the model based approaches. An ideal class...

based on the problems caused by today conventional vehicles, much attention has been put on the fuel cell vehicles researches. however, using a fuel cell system is not adequate alone in transportation applications, because the load power profile includes transient that is not compatible with the fuel cell dynamic. to resolve this problem, hybridization of the fuel cell and energy storage device...

Generative probability models such as hidden Markov models provide a principled way of treating missing information and dealing with variable length sequences. On the other hand, discriminative methods such as support vector machines enable us to construct exible decision boundaries and often result in classiication performance superior to that of the model based approaches. An ideal classiier ...

One of the most important internet challenges in coming years will be the introduction of intelligent services and a more personalized environment for user. In this paper web page prediction is presented. We use several classification techniques, namely, Support Vector Machines (SVM), Association Rule mining (ARM), and Markov model in WWW prediction. We proposed a hybrid model by combining two ...