Abstract Due to the increasing number of new malware appearing daily, it is impossible to manually inspect each sample. By applying data mining techniques to analyze the program code, we can help manual pro- cessing. In this paper we propose a method to extract signatures from the executable binary of a malware, in order…
Complex Networks theory represents a powerful tool to model real-world systems as graphs with non-trivial topological features. Static by their definition, complex networks are limited to be the reflection or the snapshot of the dynamical systems they encode in a given moment. Frankly, studies show that the network preserves the characteristics of the dynamic…
Mobile projects often exhibit architectural issues. In this paper, we survey three different types of persons (instructors, students, and developers) to find out how often do those who write code struggle with architectural issues and how are those issues impacting their work. Our focus was on mobile projects, but to have a comprehensive overview,…
Mobile applications have become one of the most important means of interacting with businesses, getting information, or accessing entertainment and news for the vast majority of the people, especially for the young generations. How those applications are being built, heavily influences their lifecycle, costs, and product roadmap, that is why software architecture plays a…
Mobile applications are one of the most common software projects written nowadays. The software architectures used for building those type of products heavily impacts their lifecycle as the architectural issues affect the internal quality of a software system hindering its maintainability and extensibility. We are presenting a novel approach, Clustering ARchitecture Layers (CARL), for…
The mobile market grows larger year by year and at the core of those devices, we have the mobile applications that push the technological advancement forward continuously. Due to the increased hardware performance and the popularity of those devices as well as advancements in their operating systems, mobile applications have grown to be complex…
We aimed to assess the reliability of an automatic solution for whole-heart segmentation of MRI images of patients with atrial fibrillation (AF). We propose a semi-interactive image segmentation algorithm based on region growing, GrowCut1, using novel neighborhood structures based on Cellular Automata. We complemented the algorithm with a global view of the signal using…
We aimed to assess the reliability of teaching Artificial Intelligencefor Software Engineering master students. We propose a semi-interactive course where the students have to develop applications for solving real world problems by using various intelligent tools. We try to integrate these two disciplines, since both deal with modeling of the real case studies, sharing…
Cellular automata have been widely used for solving the edge detection problem. This paper proposes an algorithm which optimizes cellular automata rules using Particle Swarm Optimization based on an existing method in the literature. Moreover, the method is extended from grayscale to RGB images by performing the optimization on each colour channel individually. A…
In this paper, we introduce Competitive Unsupervised GrowCut, a cellular automata-based, unsupervised and autonomous algorithm that combines the label merging component of Unsupervised GrowCut with the soft label propagation mechanism of GrowCut. We evaluated our algorithm on two benchmark image segmentation datasets, along with two related methods proposed in the literature. We also provide…