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In this work, we present the set up of a testing facility for photovoltaic (PV) modules and other PV system components in Dakar, Senegal. This creation is the result of a collaboration between the Polytechnic Schools of Dakar (ESP) and Lausanne (EPFL) aimi ...
Combinatorial interactions among transcription factors (TFs) play essential roles in generating gene expression specificity and diversity in metazoans. Using yeast 2-hybrid (Y2H) assays on nearly all sequence-specific Drosophila TFs, we identified 1,983 pr ...
Large codebases are routinely indexed by standard Information Retrieval systems, starting from the assumption that code written by humans shows similar statistical properties to written text [Hindle et al., 2012]. While those IR systems are still relativel ...
Virtual reality (VR), the interactive experience of being immersed in a simulated environment, has seen a tremendous development in the last years. Numerous applications came into being, ranging from flight simulators through a virtual ascent of Mount Ever ...
Objective quality assessment of compressed images is very useful in many applications. In this paper we present an objective quality metric that is better tuned to evaluate the quality of images distorted by compression artifacts. A deep convolutional neur ...
Recent years have seen an exponential increase in the amount of data available in all sciences and application domains. Macroecology is part of this "Big Data" trend, with a strong rise in the volume of data that we are using for our research. Here, we sum ...
This thesis presents new results on searches for lepton-flavour-violating particle decays, performed in the LHCb experiment at CERN.
Two analyses are discussed in detail. The first one concerns the B(s,d)->e mu decay. No evidence of signal is observed and ...
Background and purpose. - Automated synthetic magnetic resonance imaging (MRI) provides qualitative, weighted image contrasts as well as quantitative information from one scan and is well-suited for various applications such as analysis of white matter dis ...
Getting enough sleep during the night is important for preventing adverse short- and long-term health outcomes. The sympathetic-parasympathetic autonomic balance, characteristics of the pre-bed time resting period, correlates with sleep efficiency. We inve ...
Recently deep learning based image compression has made rapid advances with promising results based on objective quality metrics. However, a rigorous subjective quality evaluation on such compression schemes have rarely been reported. This paper aims at pe ...