This paper describes a geospatial information system (GIS) that can be used for several mission-critical activities, such as management of risky activities, and urban planning. The main novelty of this system, stands on the ability to analyze and present data inside a 3D media-rich geo-referenced environment. The 3D user interface suggested is based on the idea of interoperable processing units...

Tabu search is a "higher level" heuristic procedure for solving optimization problems, designed to guide other methods (or their component processes) to escape the trap of local optimality. Tabu search has obtained optimal and near optimal solutions to a wide variety of classical and practical problems in applications ranging from scheduling to telecommunications and from character recognition ...

The concept of active SSDs (solid state drives) has been introduced in order to cope with the demands required to process the ever-increasing volumes of data. In active SSDs, some of the data-processing tasks are offloaded to SSDs, freeing host system resources and improving overall performance of data analysis. In this paper, we propose a novel active SSD architecture focused on improving the ...

It is established good software engineering practice to ensure that programs use memory via abstract data structures such as stacks, queues and lists. These provide an interface between the program and memory, freeing the program of memory management details which are left to the data structures to implement. The main result presented herein is that GP can automatically generate stacks and queues.

The ability to transfer knowledge from one domain to another is an important aspect of learning. Knowledge transfer increases learning efficiency by freeing the learner from duplicating past efforts. In this paper, we demonstrate how reinforcement learning agents can use relational representations to transfer knowledge across related domains.

Digital forensic science is very much still in its infancy, but is becoming increasingly invaluable to investigators. A popular area for research is seeking a standard methodology to make the digital forensic process accurate, robust, and efficient. The first digital forensic process model proposed contains four steps: Acquisition, Identification, Evaluation and Admission. Since then, numerous ...

Brain tumour is an abnormal growth of brain cells within the brain. Detection of brain tumour is a challenging problem, due to complex structure of the brain. The automatic segmentation has great potential in clinical medicine by freeing physicians from the burden of manual labelling; whereas only a quantitative measurement allows to track and modelling precisely the disease. Magnetic resonance...

A case of Dupuytren's contracture is described, in which, both clinically and histologically, knuckle pad lesions involved the extensor tendons. Surgical excision of the Dupuytren's tissue from the dorsal aspect of the proximal interphalangeal joints, freeing of the lateral extensor slips and posterior capsulotomy resulted in marked functional improvement.

Game AI is the decision-making process of computer-controlled opponents in computer games. Adaptive game AI can improve the entertainment value of computer games. It allows computercontrolled opponents to automatically fix weaknesses in the game AI and respond to changes in human-player tactics. Dynamic scripting is a recently developed approach for adaptive game AI that learns which tactics (i...

We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smoothness varies with the inputs. The class includes a nonstationary version of the Matérn stationary covariance, in which the differentiability of the regression function is controlled by a parameter, freeing one from f...