HYBRID TOA/AOA VIRTUAL STATION LOCALIZATION BASED ON SCATTERING SIGNAL IDENTIFICATION FOR GNSS-DENIED URBAN OR INDOOR NLOS ENVIRONMENTS

Hybrid TOA/AOA Virtual Station Localization Based on Scattering Signal Identification for GNSS-Denied Urban or Indoor NLOS Environments

Accurate localization is the premise of many technologies and applications, such as navigation, emergency assistance and wireless sensor network.For Global Navigation Satellite System (GNSS)-denied urban or indoor environments, eve audio sc208 various localization technologies based on mobile communication networks or other wireless technologies ha

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An integrated remote sensing, petrology, and field geology analyses for Neoproterozoic basement rocks in some parts of the southern Egyptian-Nubian Shield

Abstract The main objective of this study was to use deep learning, and convolutional neural networks (CNN), integrated with field geology to identify distinct lithological units.The Samadia-Tunduba region of the South Eastern Desert of Egypt was blues cube mapped geologically for the first time thanks to the use of processed developed CNN algorith

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Use of Spectral Indices to Identify the Changes in the Vegetation Community Over Time After Restoring a Palustrine Wetland: A Case Study of Spencer Island Regional Park, Everett, WA.

Wetland restoration can be measured over time using community vegetation as an effectiveness indicator of restoration actions.Spencer Island Regional Park marrowalk is part of the tidal freshwater wetlands along the Snohomish river basin.Those wetlands are part of a complex ecosystems, in which they are included as a salmon corridor.This research a

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Involvement of two uptake mechanisms of gold and iron oxide nanoparticles in a co-exposure scenario using mouse macrophages

Little is known about the simultaneous uptake of different engineered nanoparticle types, as it can be expected in our daily life.In kicker pro comp 10 order to test such co-exposure effects, murine macrophages (J774A.1 cell line) were incubated with gold (AuNPs) and iron oxide nanoparticles (FeOxNPs) either alone or combined.Environmental scanning

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Among-population variation in microbial community structure in the floral nectar of the bee-pollinated forest herb Pulmonaria officinalis L.

BackgroundMicrobial communities in floral nectar have been shown to be characterized by low levels of species diversity, yet little is known about among-plant population variation in microbial community composition.Methodology/principal findingsWe investigated the microbial community structure (yeasts and bacteria) in floral nectar of ten fragmente

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