Search results for "Rut"
showing 10 items of 2295 documents
Infrastrutture verdi, tutela ambientale e valorizzazione degli spazi pubblici
2012
Il tema delle reti ecologiche e delle infrastrutture verdi all’interno del dibattito urbanistico. La necessità di una visione sistemica nella lettura del territorio, di una visione che si avvalga dell’apporto di discipline diverse. Carlo Peraboni ritiene complementari e utilmente sinergici i cinque approcci pratici alla crescita dell’area urbanizzata e al governo del territorio in termini di qualità: lavorare su bordi e margini delle infrastrutture, sulle relazioni e sulle reciprocità di area vasta, sulle reti ecologiche quali green infrastructure, per polarità valorizzando i nodi della rete, sulle infrastrutture della nuova urbanità. Le green infrastructure, secondo l’autore, hanno almeno …
Selection of Subjunctors in Turkic Non-Finite Complement Clauses
2013
The topic of the paper is Turkic clausal complementation: the syntactic and semantic behavior of complement clauses, the subjunctors that mark them, and the roles of various predicate types in selecting them. Two main types of bound complementizers serve as subjunctors in complement clauses: a participial and an infinitival type, both usually corresponding to the English complimentizer that. Traditionally, the semantic behavior of the complement clauses has been thought to depend on a distinction between factive and non-factive verbs. Complement clauses provided with participial subjunctors have been described as factive in contrast to non-factive complement clauses provided with infinitiva…
Corridoio 5 meno meno. Reti di collegamento con l’Europa dell’Est
2003
La politica estera italiana nel campo delle infrastrutture resta inadeguata, spiega Tito Favaretto
Reconsidering authorship in the Ciceronian corpus through computational authorship attribution
2019
In recent years, methods of computational authorship attribution have offered promising results for the reattribution of classical texts. We use and further develop these methods to verify the authorship of several texts belonging or related to the Ciceronian corpus: Rhetorica ad C. Herennium, De inventione, De optimo genere oratorum, and Commentariolum petitionis. We use two classifiers, Support Vector Machine and Convolutional Neural Network, of which the latter is more accurate except in regard to certain aspects of vocabulary. The most important of our results is that Commentariolum petitionis seems to be authored by Marcus Cicero, not by his brother Quintus. Negli ultimi anni metodi co…
DEEP EUTECTIC SOLVENTS E LIQUIDI IONICI: SOLVENTI PER LO SVILUPPO DI PROCESSI ECO-COMPATIBILI
2020
L’obiettivo di questi tre anni di Dottorato è stato lo studio e l’utilizzo nuovi solventi di reazione in grado di sostituire i solventi organici classici. In particolare sono stati studiati i Deep Eutectic Solvent (DES) e le miscele di Liquidi Ionici (IL). I DES sono stati utilizzati come solventi per lo studio di reazioni organiche, usate per la formazione di nuovi legami C-C. Nello specifico sono state studiate la reazione di Diels-Alder, e diverse reazioni di coupling C-C catalizzate da Pd. In seguito, i DES sono stati utilizzati per la formazione di nuovi gel supramolecolari, chiamati eutectogel. Questi gel sono stati formati usando come gelator amminoacidi naturali, consentendo quindi …
Domain Adaptation of Landsat-8 and Proba-V Data Using Generative Adversarial Networks for Cloud Detection
2019
Training machine learning algorithms for new satellites requires collecting new data. This is a critical drawback for most remote sensing applications and specially for cloud detection. A sensible strategy to mitigate this problem is to exploit available data from a similar sensor, which involves transforming this data to resemble the new sensor data. However, even taking into account the technical characteristics of both sensors to transform the images, statistical differences between data distributions still remain. This results in a poor performance of the methods trained on one sensor and applied to the new one. In this this work, we propose to use the generative adversarial networks (G…
A 3D Deep Neural Network for Liver Volumetry in 3T Contrast-Enhanced MRI.
2020
To create a fully automated, reliable, and fast segmentation tool for Gd-EOB-DTPA-enhanced MRI scans using deep learning. Datasets of Gd-EOB-DTPA-enhanced liver MR images of 100 patients were assembled. Ground truth segmentation of the hepatobiliary phase images was performed manually. Automatic image segmentation was achieved with a deep convolutional neural network. Our neural network achieves an intraclass correlation coefficient (ICC) of 0.987, a Sørensen-Dice coefficient of 96.7 ± 1.9 % (mean ± std), an overlap of 92 ± 3.5 %, and a Hausdorff distance of 24.9 ± 14.7 mm compared with two expert readers who corresponded to an ICC of 0.973, a Sørensen-Dice coefficient of 95.2 ± 2.8 %, and…
Blood vessel segmentation and width estimation in ultra-wide field scanning laser ophthalmoscopy.
2014
Features of the retinal vasculature, such as vessel widths, are considered biomarkers for systemic disease. The aim of this work is to present a supervised approach to vessel segmentation in ultra-wide field of view scanning laser ophthalmoscope (UWFoV SLO) images and to evaluate its performance in terms of segmentation and vessel width estimation accuracy. The results of the proposed method are compared with ground truth measurements from human observers and with existing state-of-the-art techniques developed for fundus camera images that we optimized for UWFoV SLO images. Our algorithm is based on multi-scale matched filters, a neural network classifier and hysteresis thresholding. After …
Conjugate Gradient Method for Brain Magnetic Resonance Images Segmentation
2018
Part 8: Pattern Recognition and Image Processing; International audience; Image segmentation is the process of partitioning the image into regions of interest in order to provide a meaningful representation of information. Nowadays, segmentation has become a necessity in many practical medical imaging methods as locating tumors and diseases. Hidden Markov Random Field model is one of several techniques used in image segmentation. It provides an elegant way to model the segmentation process. This modeling leads to the minimization of an objective function. Conjugate Gradient algorithm (CG) is one of the best known optimization techniques. This paper proposes the use of the nonlinear Conjugat…
Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift
2010
Fuel feeding and inhomogeneity of fuel typically cause fluctuations in the circulating fluidized bed (CFB) process. If control systems fail to compensate the fluctuations, the whole plant will suffer from dynamics that is reinforced by the closed-loop controls. This phenomenon causes reducing efficiency and the lifetime of process components. In this paper we address the problem of online mass flow prediction, which is a part of control. Particularly, we consider the problem of learning an accurate predictor with explicit detection of abrupt concept drift and noise handling mechanisms. We emphasize the importance of having domain knowledge concerning the considered case and constructing the…