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Understanding Quality of Experience (QoE) in various multimedia contents is still challenging. In this paper, we investigate the way QoE affects brain oscillations captured by electroencephalography (EEG). In particular, sixteen subjects watched 2D and 3D ...
Visual tracking has become a very important component in computer vision, but achieving a robust, reliable and real time tracking remains a real challenge.In order to improve the actual state-of-the-art, we choose to study and improve one of the most perfo ...
This paper looks at the challenges that the Kamusi Project faces for acquiring open lexical data for less-resourced languages (LRLs), of a range, depth, and quality that can be useful within Human Language Technology (HLT). These challenges include accessi ...
User perceptions of service quality are essential to promote public transport ridership and trigger positive externalities. Therefore, research efforts need to analyze service quality from the point of view of users. This article builds on the stream of wo ...
This paper presents a scheduling model for a class of interactive services in which requests are time bounded and lower result quality can be traded for shorter execution time. These applications include web search engines, finance servers, and other inter ...
Congestion is a major problem in large, urbanized areas. Intelligent transport solutions aim to reduce this problem. In general, traffic is monitored with the use of sensors, the resulting data are processed, a traffic state is estimated, and a control mea ...
This thesis investigates the feasibility of porting Node.js, a JavaScript web application framework and server, to IX, a dataplane operating system specifically developed to meet the needs of high performance microsecond-computing type of applications in a ...
The overarching ambition of kinetic metabolic modeling is to capture the dynamic behavior of metabolism to such an extent that systems and synthetic biology strategies can reliably be tested in silico. The lack of kinetic data hampers the development of ki ...
Existing and future media ecosystems need to cope with the ever-increasing heterogeneity of networks, devices, and user characteristics collectively referred to as (usage) context. The key to address this problem is media adaptation to various and dynamica ...
Gradient-echo echo-planar imaging (GE EPI) is the most commonly used approach to assess localized blood oxygen level dependent (BOLD) signal changes in real-time. Alternatively, real-time spin-echo single-voxel spectroscopy (SE SVS) has recently been intro ...
