Search results for "vector"
showing 10 items of 2660 documents
Israeli spotted fever Rickettsia in Sicilian Rhipicephalus sanguineus ticks [6]
2003
Could malaria and dengue reappear in Spain?
2010
El aumento de la inmigración durante los últimos años en España ha facilitado la importación de numerosas enfermedades tropicales. Entre ellas, las de transmisión vectorial son algunas de las más complicadas de estudiar por la complejidad que conlleva la participación de diversos hospedadores en los ciclos de transmisión, así como por la necesidad de conocer todos los parámetros fisiológicos, bioecológicos y biogeográficos relacionados con el organismo vector para poder inferir las posibilidades reales de la emergencia o la reemergencia de las enfermedades pertinentes. En estas circunstancias, el presente trabajo aporta información acerca de enfermedades importadas de incuestionable interés…
¿Pueden la malaria y el dengue reaparecer en España?
2010
ResumenEl aumento de la inmigración durante los últimos años en España ha facilitado la importación de numerosas enfermedades tropicales. Entre ellas, las de transmisión vectorial son algunas de las más complicadas de estudiar por la complejidad que conlleva la participación de diversos hospedadores en los ciclos de transmisión, así como por la necesidad de conocer todos los parámetros fisiológicos, bioecológicos y biogeográficos relacionados con el organismo vector para poder inferir las posibilidades reales de la emergencia o la reemergencia de las enfermedades pertinentes. En estas circunstancias, el presente trabajo aporta información acerca de enfermedades importadas de incuestionable …
¿Pueden la malaria y el dengue reaparecer en España? Could malaria and dengue reappear in Spain?
2010
El aumento de la inmigración durante los últimos años en España ha facilitado la importación de numerosas enfermedades tropicales. Entre ellas, las de transmisión vectorial son algunas de las más complicadas de estudiar por la complejidad que conlleva la participación de diversos hospedadores en los ciclos de transmisión, así como por la necesidad de conocer todos los parámetros fisiológicos, bioecológicos y biogeográficos relacionados con el organismo vector para poder inferir las posibilidades reales de la emergencia o la reemergencia de las enfermedades pertinentes. En estas circunstancias, el presente trabajo aporta información acerca de enfermedades importadas de incuestionable interés…
Machine learning for rapid mapping of archaeological structures made of dry stones – Example of burial monuments from the Khirgisuur culture, Mongoli…
2020
11 pages; International audience; The present study proposes a workflow to extract from orthomosaics the enormous amount of dry stones used by past societies to construct funeral complexes in the Mongolian steppes. Several different machine learning algorithms for binary pixel classification (i.e. stone vs non-stone) were evaluated. Input features were extracted from high-resolution orthomosaics and digital elevation models (both derived from aerial imaging). Comparative analysis used two colour spaces (RGB and HSV), texture features (contrast, homogeneity and entropy raster maps), and the topographic position index, combined with nine supervised learning algorithms (nearest centroid, naive…
Deep learning to detect built cultural heritage from satellite imagery. - Spatial distribution and size of vernacular houses in Sumba, Indonesia -
2021
Abstract In Sumba Island – Indonesia, the implantation of vernacular houses, inside and outside traditional villages, is considered to be an efficient proxy for the on-going complex cultural transformations resulting from globalization. This study presents an easily reproducible workflow allowing buildings to be automatically detected from satellite imagery, demonstrating how modern computer vision methods based on deep learning can help in this task, which would be far too time-consuming when undertaken by hand. Eight deep learning architectures based on convolutional neural networks were compared in terms of ability to identify and locate precisely traditional houses from satellite images…
Topological Dual Systems for Spaces of Vector Measure p-Integrable Functions
2016
[EN] We show a Dvoretzky-Rogers type theorem for the adapted version of the q-summing operators to the topology of the convergence of the vector valued integrals on Banach function spaces. In the pursuit of this objective we prove that the mere summability of the identity map does not guarantee that the space has to be finite dimensional, contrary to the classical case. Some local compactness assumptions on the unit balls are required. Our results open the door to new convergence theorems and tools regarding summability of series of integrable functions and approximation in function spaces, since we may find infinite dimensional spaces in which convergence of the integrals, our vector value…
Modelling and Analysis of Nonstationary Vehicle-to-Infrastructure Channels with Time-Variant Angles of Arrival
2018
In mobile radio channel modelling, it is generally assumed that the angles of arrival (AOAs) are independent of time. This assumption does not in general agree with real-world channels in which the AOAs vary with the position of a moving receiver. In this paper, we first present a mathematical model for the time-variant AOAs. This model serves as the basis for the development of two nonstationary multipath fading channels models for vehicle-to-infrastructure communications. The statistical properties of both channel models are analysed with emphasis on the time-dependent autocorrelation function (ACF), time-dependent mean Doppler shift, time-dependent Doppler spread, and the Wigner-Ville sp…
Comparison of Micro X-ray Computer Tomography Image Segmentation Methods: Artificial Neural Networks Versus Least Square Support Vector Machine
2013
Micro X-ray computer tomography (XCT) is a powerful non-destructive method for obtaining information about rock structures and mineralogy. A new methodology to obtain porosity from 2D XCT digital images using artificial neural network and least square support vector machine is demonstrated following these steps: the XCT image was first preprocessed, thereafter clustering algorithms such as K-means, Fuzzy c-means and self-organized maps was used for image segmentation. Then artificial neural network was applied for image classification. For comparison, least square support vector machine approach was used for classification labeling of the scan images. The methodology shows how artificial ne…
Artificial Intelligence for Cybersecurity: A Systematic Mapping of Literature
2020
Due to the ever-increasing complexities in cybercrimes, there is the need for cybersecurity methods to be more robust and intelligent. This will make defense mechanisms to be capable of making real-time decisions that can effectively respond to sophisticated attacks. To support this, both researchers and practitioners need to be familiar with current methods of ensuring cybersecurity (CyberSec). In particular, the use of artificial intelligence for combating cybercrimes. However, there is lack of summaries on artificial intelligent methods for combating cybercrimes. To address this knowledge gap, this study sampled 131 articles from two main scholarly databases (ACM digital library and IEEE…