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An efficient fat suppression technique for stimulated-echo based CMR

[No abstract available]

Healthcare

Detection of cardiac function abnormality from MRI images using normalized wall thickness temporal patterns

Purpose. To develop a method for identifying abnormal myocardial function based on studying the normalized wall motion pattern during the cardiac cycle. Methods. The temporal pattern of the normalized myocardial wall thickness is used as a feature vector to assess the cardiac wall motion abnormality. Principal component analysis is used to reduce the feature dimensionality and the maximum

Healthcare

MDAC: A new reputation system for misbehavior detection and control in ad hoc networks

Reputation systems are an emerging area of research in ad-hoc networks. They have been introduced as a security solution for nodes' misbehaving problem. A reputation system should cope with any kind of misbehavior. It enables honest nodes to make fair decisions about their neighbors. This may encourage nodes to behave well and cooperate in order to avoid being penalized or isolated. In this paper

Software and Communications

Remote Diagnosis, Maintenance and Prognosis for Advanced Driver Assistance Systems Using Machine Learning Algorithms

New challenges and complexities are continuously increasing in advanced driver assistance systems (ADAS) development (e.g. active safety, driver assistant and autonomous vehicle systems). Therefore, the health management of ADAS’ components needs special improvements. Since software contribution in ADAS’ development is increasing significantly, remote diagnosis and maintenance for ADAS become more

Artificial Intelligence
Software and Communications

On Board Evaluation System for Advanced Driver Assistance Systems

The evaluation of Advanced Driver Assistance Systems (ADAS including driver assistance and active safety) has increasing interest from authorities, industry and academia. AsPeCSS active safety project concludes that good results in a laboratory test for active safety system design does not necessarily equate to an effective system in real traffic conditions. Moreover, many ADAS assessment projects

Artificial Intelligence

Efficient right ventricular shape modeling using a dual active shape model

[No abstract available]

Utilization of appropriate technologies for a real "competitive Egypt"

Egypt has experienced a remarkable deterioration with respect to competitiveness since the Arab Spring in 2011. According to World Economic Forum's (WEF) report, Egypt's Global Competitiveness Index (GCI) was 81 out of 139 in 2011. The Country's GCI dropped to 116 out of 140 in 2015. This was mainly due to the political and economic instability that Egypt has come across over the past four years

Universities' third mission activities: Case study from Egypt

Universities are essential constituents in the socio-economic development, as proposed by the Triple Helix Model presented by Loet Leydesdorff and Henry Etzkowitz in the 1990s. Innovation is an important element related to the socio-economic development. On the other hand, a university can foster innovation by being the main source of knowledge and technological advancements. In the late 20th

NileULex: A phrase and word level sentiment lexicon for Egyptian and modern standard Arabic

This paper presents NileULex, which is an Arabic sentiment lexicon containing close to six thousands Arabic words and compound phrases. Forty five percent of the terms and expressions in the lexicon are Egyptian or colloquial while fifty five percent are Modern Standard Arabic. The development of the presented lexicon has taken place over the past two years. While the collection of many of the

Artificial Intelligence

Unsupervised data driven taxonomy learning

The ability to effectively organize textual information is a big challenge in intelligent text processing. With the increase in the amount of textual data being generated, this task is becoming more and more essential. In this paper we present an unsupervised computer-aided tool for automatically building classification schemes and taxonomies for enhancing the process of automated text