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Now showing items 21-27 of 27
Nanostructured carbon-based materials for electrochemical applications
(2019-12-01)
Mesoporous carbons have been widely studied due to the relevance of these materials for applications in energy storage and conversion devices (batteries, supercapacitors, and fuel cells), mainly due to their high surface ...
Probing the influence of relative humidity and temperature on the sulfonated silica ceramic carbon electrode for PEM fuel cell operation
(2019-05-01)
Operation of fuel cells under low relative humidity (RH) and high temperature is a useful way to cut-down cost and increase performance. However, the Nafion ionomer employed in the electrode of the conventional fuel cells ...
Exploring design alternatives in game development engines using visual programming
(2019-04-01)
We present BPAlt – a system which allows game developers to create and manage alternatives for Unreal Engine’s Blueprints Visual Scripting System. BPAlt allows the user to create, save, organize and swap Blueprint alternatives ...
A few randomized protocols in peer-to-peer networks
(2019-08-01)
This thesis studies a few randomized algorithms in application-layer peer-to-peer networks. The significant gain in scalability and resilience that peer-to-peer networks provide has made them widely used and adopted in ...
Design and evaluation of a novel convolutional neural network for short-term vehicle multi-traffic prediction
(2019-08-01)
Short-term vehicle traffic forecasting is about predicting how traffic indicators are going to be in the near future. The main traffic parameters are: traffic volume, traffic speed, and congestion state. In this thesis, ...
I remember, at least I think I do : An investigation into emotional memories and our perception of them over time
(2019-12-01)
Entertainment and emotions play a large part in the area of education and learning, however there is a lack of understanding in both the implementation of game-based learning and how this information changes over time. ...
Structure guided image restoration : a deep learning approach
(2019-05-01)
Image restoration aims at recovery of degraded images and estimating the original. Over the past few years, computer vision research has been dominated by deep learning techniques in part due to advances in computing ...