Human-machine interaction has become one of the most active research areas, and influenced several new paradigms of computing such as Social computing,Mobile computing, and Pervasive/Ubiquitous computing, which are typically concerned with the study of human user’s behavior to facilitate behavioral modeling and prediction. Human behavioral data are usually high-dimensional time series, which ne...

Innovations are inherently connected to knowledge transfers. The need of face-to-face contacts to transfer tacit knowledge is commonly argued to cause a regional dimension of innovative activities. The paper presents an alternative explanation based on a model of boundedly rational actors who search for knowledge. It is shown that a regional dimension exists in these processes that results from...

Data warehousing or decision support applications need to aggregate data across many dimensions looking for unusual useful patterns. Most of current database languages, such as SQL, only allow users to retrieve the data in zero-dimensional, one-dimensional, or two-dimension aggregates. Applications need the N-dimensional generalization of these operators. Unfortunately current solutions need to...

The empirical studies addressing learners’ engagement to teachers’ corrective feedback on their writing tasks in the Saudi EFL context as well its impact students’ improvement of skill are still a few. Therefore, proposed research project aims empirically address responses written tasks. Addressing is key issue improving skills. As result, attempts measure with from multi-dimension perspective;...

Advances in networking technology have revitalized agent technology for engineering complex distributed software systems. Nowadays, the agent technology has been applied in a wide range of application domains, including ecommerce, human computer interfaces, telecommunications and concurrent programming. A lot of research has been done on design and development of Multi-agent systems (MAS) but q...

Vision is a sense that humans and most animals rely the most onto. Although this sense seems pretty trivial, the visual stimulus is composed of many different dimensions which makes it very complex to decompose, analyze and understand. Scientists state that roughly half of our brain is used for vision processing, it is therefore a very interesting and intriguing area for researchers as it can p...

Background: Two main issues that challenge model building are number of Events Per Variable and multicollinearity among exploratory variables. Our aim is to review statistical methods that tackle these issues with emphasize on penalized Lasso regression model.  The present study aimed to explain problems of traditional regressions due to small sample size and m...

Shape is one of the most important visual attributes used to characterize objects, playing a important role in pattern recognition. There are various approaches to extract relevant information of a shape. An approach widely used in shape analysis is the complexity, and Fractal Dimension and Multi-Scale Fractal Dimension are both well-known methodologies to estimate it. This papers presents a co...