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Outputs (106)

The dynamics of H2/air autoignition around the 3rd explosion limit (2015)
Presentation / Conference Contribution
Tingas, S., Turanyi, T., & Goussis, D. (2015, March). The dynamics of H2/air autoignition around the 3rd explosion limit. Poster presented at High Pressure and High Reynolds Combustion Workshop, Thuwal, Saudi Arabia

Tingas, S., Turanyi, T., & Goussis, D. (2015, March). The dynamics of H2/air autoignition around the 3rd explosion limit. Poster presented at High Pressure and High Reynolds Combustion Workshop, Thuwal, Saudi Arabia.

Energy efficient carrier aggregation for LTE-Advanced (2015)
Presentation / Conference Contribution
Barakat, B., & Arshad, K. (2015, February). Energy efficient carrier aggregation for LTE-Advanced. Presented at 2015 IEEE 8th GCC Conference and Exhibition (GCCCE), Muscat, Oman

Traditional wireless and mobile network focuses on higher throughout, coverage and larger capacity. In future, energy efficiency is of vital importance for wireless networks due to a large number of connected and battery constrained mobile devices. I... Read More about Energy efficient carrier aggregation for LTE-Advanced.

Electromagnetic modeling of metamaterial-based sensors (2015)
Presentation / Conference Contribution
Spada, L. L. (2015). Electromagnetic modeling of metamaterial-based sensors. . https://doi.org/10.1109/imws-bio.2014.7032448

In this paper metamaterial-based sensors electromagnetic modeling is presented. In particular, the interaction between the electromagnetic waves and such structures is analytically studied. The proposed sensors consist of array of resonant metallic s... Read More about Electromagnetic modeling of metamaterial-based sensors.

What do you do with your app? A study of rider decision-making with real-time passenger information. (2015)
Presentation / Conference Contribution
Fonzone, A. (2015, January). What do you do with your app? A study of rider decision-making with real-time passenger information. Presented at Transportation Research Board 94th Annual Meeting, Washington, DC., USA

Provision of Real-Time Passenger Information (RTPI) is increasingly becoming a fundamental element of the service offered by transit agencies. RTPI changes the way in which travellers perceive public transport services and it can have remarkable cons... Read More about What do you do with your app? A study of rider decision-making with real-time passenger information..

PD disease state assessment in naturalistic environments using deep learning (2015)
Presentation / Conference Contribution
Hammerla, N. Y., Fisher, J., Andras, P., Rochester, L., Walker, R., & Plötz, T. (2015, January). PD disease state assessment in naturalistic environments using deep learning. Presented at Twenty-Ninth AAAI conference on artificial intelligence, Austin, Texas

Management of Parkinson's Disease (PD) could be improved significantly if reliable, objective information about fluctuations in disease severity can be obtained in ecologically valid surroundings such as the private home. Although automatic assessmen... Read More about PD disease state assessment in naturalistic environments using deep learning.