More then 300 students write their theses each year at the department. In order to support self‐driven student work and reduce the burden on supervisors for basic feedback, a system called SciPro has been developed. Important consideration in developing this system has been to take actions to reduce plagiarism. This is accomplished in several ways. Both prevention and detection has been utilise...

There is an Iurgent need for automatic systems for quality control of flat steel products to meet the ever increasing demand from customers, and for process control to prevent damage to production. To achieve these goals, those inspection systems should detect and recognize defects using image processing and pattern recognition methods. Such complex systems are difficult to compare and the spec...

Nowadays, face is a crucial field for many pattern recognition researchers. It is considered as a good way for biometric authentication in many surveillance systems. The most important issue in face recognition is the features extraction from the face's images of the person's images or videos. In this paper, a proposed method has been introduced to identify person images, which are ca...

Identifying structural patterns in conceptual models serves a variety of purposes ranging from model comparison to model integration and exploration. Although there are a multitude of different approaches for particular modelling languages and application scenarios, the modelling community lacks an integrated approach suitable for conceptual models of arbitrary languages and domains. Therefore,...

Feature extraction is important in pattern recognition. Wavelet packet has been recently used in choosing the best bases for feature extraction in classiication, combining the feature extraction and feature selection processes into one. This paper proposed a new criterion for best bases selection for classiication. In contrast with the previous work in this area, the new criterion is more robus...

Crime forecasting is notoriously difficult. A crime incident is a multi-dimensional complex phenomenon that is closely associated with temporal, spatial, societal, and ecological factors. In an attempt to utilize all these factors in crime pattern formulation, we propose a new feature construction and feature selection framework for crime forecasting. A new concept of multi-dimensional feature ...

Annotation: Pattern recognition problem is briefly characterized as a process of machine learning. Its main stages (dimensionality reduction and classifier design) are stated. Statistical approach is given priority here. Two approaches to dimensionality reduction, namely feature selection (FS) and feature extraction (FE) are specified. Though FS is a special case of FE, they are very different ...

The rise of social media has led to an explosion in the number of possible sites users can join. However, this same profusion of social media sites has made it nearly impossible for users to actively engage in all of them simultaneously. Accordingly, users must make choices about which sites to use or to neglect. In this paper, we study users that have joined multiple sites. We study how indivi...