Learning is the most central process in education where it's essential outcome being the assimilation of new skills, abilities, perspectives, attitudes, and knowledge. Learning is a life-long quest that is vital in today's ...

One can find the long standing problems with conceptııal modeling such as model transformation, reusability and agility in the classical information system development (ISD). New approaches may help in overcoming these ...

In this thesis, we work on rule induction algorithms, basically Ripper. These algorithms solve a K>2 class problem by transforming it into a sequence ok K-1 two class problems. As a heuristic, these algorithms learn classes ...

Enterprise companies require central, web based, performance proved robust applications. There are different types of frameworks and design patterns to fulfill this requirement. The author of this thesis and a team of ...

There are many algorithms and approaches in object detection world. Many of them are based on Viola Jones algorithm. According to our observations, the features which help to detect an object are very critical for the ...

In this thesis a framework for RDP applications for IPTV is described. The goal is to develop applications easily by using the framework. Microsoft IPTV Edition Content Development Kid is used as a simulator of Microsoft ...

While communicating with your partner, the ability to communicate in a secure way is a fundamental and important requirement for information security. Security of communication requires identification and verification of ...

In this thesis, we study the design and implementation issues in library management systems. Depending heavily on data, library management systems should have effective means to access and store data. We propose a novel ...

One of the major problems in high frequency applications is designing matching circuits. Real frequency design of broadband matching networks is a commonly preferred approach since experimental termination data is directly ...

Biclustering gene expression data is the problem of extracting submatrices of genes and conditions exhibiting significant correlation across both the rows and the columns of a data matrix of expression values. We provide ...