Mostrando ítems 11-20 de 47
Ivonin, Leonid I. (Fecha de defensa: 2014-05-15)
The problem of capturing human experience is relevant in many application domains. In fact, the process of describing and sharing individual experience lies at the heart of human culture. This advancement ...
Temesgene, Dagnachew Azene (Fecha de defensa: 2020-07-21)
Due to the rapid growth of mobile data traffic, future mobile networks are expected to support at least 1000 times more capacity than 4G systems. This trend leads to an increasing energy demand from ...
Zhao, Feng, 1992- (Fecha de defensa: 2019-07-26)
Ground deformation measurements can provide valuable information for minimization of associated loss and damage caused by natural and environmental hazards. As a kind of remote sensing technique, ...
Bano, Sophia (Fecha de defensa: 2016-01-27)
The increasing availability of smartphones is facilitating people to capture videos of their experience when attending events such as concerts, sports competitions and public rallies. Smartphones are ...
Afaqui, Muhammad Shahwaiz (Fecha de defensa: 2017-06-28)
The explosive growth in usage of IEEE 802.11 based WLAN networks has resulted in dense deployments in diverse environments and has made the concept of anytime - anywhere data connectivity a realm of ...
Locatelli, Fabiano (Fecha de defensa: 2021-11-18)
One of the possible ways to address the constantly increasing amount of heterogeneous and variable internet traffic is the evolution of the current optical networks towards a more flexible, open, and ...
Pascual De La Puente, Santiago (Fecha de defensa: 2020-01-31)
Deep learning has affected the speech processing and generation fields in many directions. First, end-to-end architectures allow the direct injection and synthesis of waveform samples. Secondly, the ...
Santoyo González, Alejandro (Fecha de defensa: 2020-09-08)
This thesis focuses on how to optimize the placement of the Edge Computing infrastructure for upcoming 5G networks. To this aim, the core contributions of this research are twofold: 1) a novel heuristic ...
Salvador, Amaia (Fecha de defensa: 2019-06-27)
In the past decade, deep neural networks have revolutionized computer vision. High performing deep neural architectures trained for visual recognition tasks have pushed the field towards methods relying ...
Pujol Miró, Alba (Fecha de defensa: 2020-09-18)
The ability to capture depth information form an scene has greatly increased in the recent years. 3D sensors, traditionally high cost and low resolution sensors, are being democratized and 3D scans of ...