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السجلات المعروضة 21 -- 30 من 776
Incorporating haptic and olfactory into surgical simulation
(
IEEE Computer Society
, 2013 , Conference Paper)
Recently, surgical simulation is a widely used method to train surgeons on specific surgeries due to the fact that it helps reducing surgical errors. Available surgical simulations lack realism since they only incorporate ...
Effects of full/partial haptic guidance on handwriting skills development
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
It has been shown in previous studies that haptic guidance improves the learning outcomes of handwriting motor skills. In this paper, we present a comparison between full guidance and partial guidance using a haptic learning ...
How to Bring a Graduate Program Closer to Employers? Needs?: A Case Study in Qatar University in the Field of IT
(
Springer Verlag
, 2018 , Conference Paper)
Since the mid of the 1990s, Qatar is engaged in an economic diversification strategy to move away from an economy strongly based on gas and oil. The national authorities consider that high-quality education, especially at ...
Towards energy efficient and quality of service aware cell zooming in 5G wireless networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
This paper presents an energy efficient and quality of service aware dynamic cell zooming algorithm for dense heterogeneous networks. The exponential growth of mobile data traffic would lead to dense deployment of small ...
Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring
(
IEEE
, 2013 , Conference Paper)
Brain is the most important part in the human body controlling muscles and nerves; Electroencephalogram (EEG) signals record brain electric activities. EEG signals capture important information pertinent to different ...
Network association with dynamic pricing over D2D-enabled heterogeneous networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
The growing trend of networks densification has motivated integrating the Device-to-Device (D2D) communication with the dense heterogeneous networks in order to face the intense demand of high data rates and enhance network ...
An automated approach to translate a biological process from ODEs into graphical hybrid functional Petri Nets
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference Paper)
The study of biological systems is growing rapidly, and can be considered as an intrinsic task in biological research, and a prerequisite for diagnosing diseases and drug development. The integration of biological studies ...
Deep learning and low rank dictionary model for mHealth data classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Conference Paper)
In the context of mobile Health (mHealth) applications, data are prone to several sources of contamination which would lead to false interpretation and misleading classification results. In this paper, a robust deep learning ...
Bayesian network based heuristic for energy aware EEG signal classification
(
SpringerLink
, 2013 , Conference Paper)
A major challenge in the current research of wireless electroencephalograph (EEG) sensor-based medical or Brain Computer Interface applications is how to classify EEG signals as accurately and energy efficient as possible. ...
Dynamic users assignment and bandwidth allocation for energy efficient hybrid powered communication systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
In this paper, we aim to encourage the use of renewable power in communication systems through hybrid powering. The problem consists of optimizing the resource allocation problem using the hybrid powering from renewable ...