Search results for "Complexity"
showing 10 items of 1094 documents
Deep neural attention-based model for the evaluation of italian sentences complexity
2020
In this paper, the Automatic Text Complexity Evaluation problem is modeled as a binary classification task tackled by a Neural Network based system. It exploits Recurrent Neural Units and the Attention mechanism to measure the complexity of sentences written in the Italian language. An accurate test phase has been carried out, and the system has been compared with state-of-art tools that tackle the same problem. The computed performances proof the model suitability to evaluate sentence complexity improving the results achieved by other state-of-the-art systems.
Multi-class Text Complexity Evaluation via Deep Neural Networks
2019
Automatic Text Complexity Evaluation (ATE) is a natural language processing task which aims to assess texts difficulty taking into account many facets related to complexity. A large number of papers tackle the problem of ATE by means of machine learning algorithms in order to classify texts into complex or simple classes. In this paper, we try to go beyond the methodologies presented so far by introducing a preliminary system based on a deep neural network model whose objective is to classify sentences into more of two classes. Experiments have been carried out on a manually annotated corpus which has been preprocessed in order to make it suitable for the scope of the paper. The results sho…
The emissions reduction potential of substituting short-haul flights with non-high-speed rail (NHSR): The case of Finland
2021
Abstract Replacing short-haul flights with high-speed rail (HSR) has been widely discussed as one solution to mitigate the climate change impacts of aviation. However, although HSR can provide travel times similar to those provided by short-haul flights, and at lower emission levels, it also requires considerable investments in time and infrastructure to build. Instead, this study considers the feasibility of replacing short-haul flights with existing non-high-speed rail (NHSR). Our study is based in Finland, a country that has an extensive route network of short-haul flights but does not possess any HSR. We compared all 16 city pairs for which short-haul flights are offered with existing N…
The Chinese Postman Problem with Load-Dependent Costs
2018
[EN] We introduce an interesting variant of the well-known Chinese postman problem (CPP). While in the CPP the cost of traversing an edge is a constant (equal to its length), in the variant we present here the cost of traversing an edge depends on its length and on the weight of the vehicle at the moment it is traversed. This problem is inspired by the perspective of minimizing pollution in transportation, since the amount of pollution emitted by a vehicle not only depends on the travel distance but also on its load, among other factors. We define the problem, study its computational complexity, provide two mathematical programming formulations, and propose two metaheuristics for its soluti…
Signaling Reduction in 5G eV2X Communications Based on Vehicle Grouping
2019
Groups of users, sometimes referred to as clusters, have been exploited in several works to enhance wireless communications. Leveraging on previous ideas, the main goal of this paper is to take advantage of vehicle grouping in order to reduce uplink signaling in fifth generation (5G) vehicular communications. Several schemes to reduce uplink signaling are proposed and particularized in two specific 5G uses cases: the reporting of Channel Busy Ratio (CBR), and the reporting of beam measurements in beam management procedures. The achieved signaling reduction is analytically evaluated in an example of urban scenario with high vehicle densities for different group sizes. The signaling load can …
Interpretability of Recurrent Neural Networks in Remote Sensing
2020
In this work we propose the use of Long Short-Term Memory (LSTM) Recurrent Neural Networks for multivariate time series of satellite data for crop yield estimation. Recurrent nets allow exploiting the temporal dimension efficiently, but interpretability is hampered by the typically overparameterized models. The focus of the study is to understand LSTM models by looking at the hidden units distribution, the impact of increasing network complexity, and the relative importance of the input covariates. We extracted time series of three variables describing the soil-vegetation status in agroe-cosystems -soil moisture, VOD and EVI- from optical and microwave satellites, as well as available in si…
Neutralidad y honorabilidad del árbitro: : De la ética a la diligencia
2021
One of the main principles of arbitration is that the arbitral tribunal must be independent, impartial, neutral and diligent in carrying out its duties throughout the arbitration proceedings. However, the sophistication and complexity of arbitration as an extra-judicial dispute resolution procedure can undermine confidence in the efficiency of the system. In this regard, the professional (arbitral) ethics and the honourability of the arbitrator are of major importance. This article aims to highlight the importance of the neutrality of the arbitrator, the integrity of the arbitration and the reputation of this procedure
Hacia la ley europea del clima: las evaluaciones científicas y el futuro papel de las respuestas jurídicas de los estados miembros
2021
Los problemas climáticos son temas persistentes y omnipresentes dentro de las políticas y legislaciones contemporáneas, que exigen un enfoque interdisciplinario para promover soluciones jurídicas adecuadas para la complejidad del tema. Paradójicamente, las propagandas negacionistas, lejos de bloquear las acciones climáticas, las han propiciado, lo que ha llevado al establecimiento de un organismo científico super partes que reconociese las cuestiones climáticas a través de informes científicos avanzados: el Grupo Intergubernamental de Expertos sobre el Cambio Climático de la ONU (IPCC). Desde entonces, muchos países han usado los hallazgos del IPCC como base científica para desarrollar polí…
Primeras consideraciones a la Ley Orga?nica 3/2021, de 24 de marzo, de regulación de la eutanasia. el reconocimiento de un nuevo derecho
2021
The aim of this paper is to carry out a brief study of the recent Organic Law 3/2021, of March 24, on the regulation of euthanasia (BOE. March 25, 2021) approved in Spain, from a constitutional perspective, highlighting its main aspects. The matter under study is not exempt from controversy because it covers legal, medical and ethical considerations of great complexity.
Espais de formació de la responsabilitat social universitària
2018
L’article està basat en l’experiència de les «Jornadas de ‘Humanismo y Universidad’» celebrades a la Escuela Universitaria de Trabajo Social «Ntra. Sra. del Camino» amb l’objectiu de contribuir al desenvolupament d’iniciatives innovadores en la formació de la Responsabilitat Social Universitària (RSU) i, així, fomentar accions que involucren els diferents agents implicats, inclosos els beneficiaris finals, en els processos d’innovació i la cerca d’un aprenentatge socialment responsable. Les Jornades constitueixen una «bona pràctica», que permet obtindre i mesurar resultats significatius per a definir els elements que determinen l’efectivitat d’aquesta pràctica, l’aplicació de la qual se sit…