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Streaming support for data intensive cloud-based sequence analysis

Cloud computing provides a promising solution to the genomics data deluge problem resulting from the advent of next-generation sequencing (NGS) technology. Based on the concepts of "resources-on-demand" and "pay-as-you-go", scientists with no or limited infrastructure can have access to scalable and cost-effective computational resources. However, the large size of NGS data causes a significant
Software and Communications
Innovation, Entrepreneurship and Competitiveness

An approach for extracting and disambiguating arabic persons' names using clustered dictionaries and scored patterns

Building a system to extract Arabic named entities is a complex task due to the ambiguity and structure of Arabic text. Previous approaches that have tackled the problem of Arabic named entity recognition relied heavily on Arabic parsers and taggers combined with a huge set of gazetteers and sometimes large training sets to solve the ambiguity problem. But while these approaches are applicable to

Artificial Intelligence
Circuit Theory and Applications

Towards scalable and cost-aware bioinformatics workflow execution in the cloud - Recent advances to the tavaxy workflow system

Cloud-based scientific workflow systems can play an important role in the development of cost effective bioinformatics analysis applications. So far, most efforts for supporting cloud computing in such workflow systems have focused on simply porting them to the cloud environment. The next due steps are to optimize these systems to exploit the advantages of the cloud computing model, basically in

Artificial Intelligence
Healthcare
Software and Communications

Segmentation of choroidal neovascularization in fundus fluorescein angiograms

Choroidal neovascularization (CNV) is a common manifestation of age-related macular degeneration (AMD). It is characterized by the growth of abnormal blood vessels in the choroidal layer causing blurring and deterioration of the vision. In late stages, these abnormal vessels can rupture the retinal layers causing complete loss of vision at the affected regions. Determining the CNV size and type in

Artificial Intelligence
Healthcare

Estimation of the myocardium rotation from standard cine Magnetic Resonance Imaging sequences

Myocardium rotation and torsion are important indicators of the cardiac function. Currently, tagged Magnetic Resonance Imaging (tMRI) sequences are analyzed to estimate these parameters. Unfortunately, tMRI is not widely used in clinical practice because it prolongs the scanning time and requires sophisticated analysis software. In this work, we present a method for estimating the myocardium

Healthcare

Enhanced target tracking in UAV imagery with P-N learning and structural constraints

This paper presents improved automatic moving target detection and tracking framework that is suitable for UAV imagery. The framework is comprised of motion compensation phase to detect moving targets from a moving camera, target state estimation with Kalman filter, and overlap-rate-based data association. Finally, P-N learning is used to maintain target appearance by utilizing novel structural

Artificial Intelligence

ITS navigation and live timetables for the blind based on RFID robotic localization algorithms and ZigBee broadcasting

This paper tries to alleviate some challenges facing blind and visually impaired people in public transportation systems by providing them with in-station navigation information and real-time schedule information. Novel system architecture for the Intelligent Transportation Systems (ITS) navigation for blind and visually impaired people based on recent Radio Frequency Identification (RFID)

Software and Communications
Mechanical Design

News auto-tagging using Wikipedia

This paper presents an efficient method for automatically annotating Arabic news stories with tags using Wikipedia. The idea of the system is to use Wikipedia article names, properties, and re-directs to build a pool of meaningful tags. Sophisticated and efficient matching methods are then used to detect text fragments in input news stories that correspond to entries in the constructed tag pool

Software and Communications

A system for assessing the quality of Web pages

The World Wide Web has brought about an unprecedented explosion in the amount of information available on-line, largely in the form of Web pages. The fact that anyone can publish anything has ultimately led to pages with varying degrees of quality. This paper aims at investigating means for assessing the quality of a random web page and provides a quantitative approach for selecting high quality

Software and Communications

2DHOOF-2DPCA contour based optical flow algorithm for human activity recognition

A novel algorithm for human activity recognition is presented in this paper. This approach is based on a new 2D representation for the Histogram of Oriented Optical Flow (2DHOOF) describing the motion of the actor's contour, where one multi-layer 2D-histogram per video is constructed. Each histogram layer consists of 2D bins (layers) that represent different range of angles. Applying our 2DHOOF

Artificial Intelligence