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41.
A cellular network database for fingerprint positioning systems
Donatella Gubiani, Paolo Gallo, Andrea Viel, Andrea Dalla Torre, Angelo Montanari, 2019, objavljeni znanstveni prispevek na konferenci

Opis: Besides being a fundamental infrastructure for communication, cellular networks are increasingly exploited for positioning via signal fingerprinting. Here, we focus on cellular signal fingerprinting, where an accurate and comprehensive knowledge of the network is fundamental. We propose an original multilevel database for cellular networks, which can be automatically updated with new fingerprint measurements and makes it possible to execute a number of meaningful analyses. In particular, it allows one to monitor the distribution of cellular networks over countries, to determine the density of cells in different areas, and to detect inconsistencies in fingerprint observations.
Ključne besede: Cellular network, Signal fingerprinting, Multilevel database, Data analysis
Objavljeno v RUNG: 17.09.2019; Ogledov: 3656; Prenosov: 0
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Search for Gamma-Ray Emission from Local Primordial Black Holes with the Fermi Large Area Telescope
Gabrijela Zaharijas, 2018, izvirni znanstveni članek

Ključne besede: astroparticle physics, black hole physics, methods: data analysis
Objavljeno v RUNG: 23.08.2018; Ogledov: 3962; Prenosov: 0
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Identification of clusters of rapid and slow decliners among subjects at risk for Alzheimer’s disease
Dragan Gamberger, Nada Lavrač, Shantanu Srivatsa, Rudolph E. Tanzi, Murali Doraiswamy, 2017, izvirni znanstveni članek

Opis: The heterogeneity of Alzheimer’s disease contributes to the high failure rate of prior clinical trials. We analyzed 5-year longitudinal outcomes and biomarker data from 562 subjects with mild cognitive impairment (MCI) from two national studies (ADNI) using a novel multilayer clustering algorithm. The algorithm identified homogenous clusters of MCI subjects with markedly different prognostic cognitive trajectories. A cluster of 240 rapid decliners had 2-fold greater atrophy and progressed to dementia at almost 5 times the rate of a cluster of 184 slow decliners. A classifier for identifying rapid decliners in one study showed high sensitivity and specificity in the second study. Characterizing subgroups of at risk subjects, with diverse prognostic outcomes, may provide novel mechanistic insights and facilitate clinical trials of drugs to delay the onset of AD.
Ključne besede: Alzheimer's disease, Rapid decliners, Data clustering, Mild cognitive impairment
Objavljeno v RUNG: 17.08.2017; Ogledov: 4568; Prenosov: 352
.pdf Celotno besedilo (1,78 MB)

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Geographic information systems : exercises: quantum GIS (QGIS)
Donatella Gubiani, 2017, drugo učno gradivo

Ključne besede: geographic information systems, qGIS, spatial data
Objavljeno v RUNG: 11.07.2017; Ogledov: 4600; Prenosov: 0
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