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Now showing items 161-170 of 205
Sliding mode control law for a variable speedwind turbine
(WSEAS, 2011)
Modern wind turbines are designed in order to work in variable speed operations. To perform this task, wind turbines are provided with adjustable speed generators, like the double feed induction generator. One of the main ...
Towards brain-tissue-like biomaterials
(Nature, 2020-07-09)
Many biomaterials have been developed which aim to match the elastic modulus of the brain for improved interfacing. However, other properties such as ultimate toughness, tensile strength, poroviscoelastic responses, energy ...
Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches
(BMC, 2019-12-23)
Background Text mining and natural language processing of clinical text, such as notes from electronic health records, requires specific consideration of the specialized characteristics of these texts. Deep learning methods ...
Adaptive variable structure control law for a variable speed wind turbine
(WSEAS, 2011)
The efficiency of the wind power conversions systems can be greatly improved using an appropriate control algorithm. In this work, an adaptive robust control for a doubly feed induction generator drive for variable speed ...
Computational intelligence techniques for maximum energy efficiency of cogeneration processes based on internal combustion engines
(2017-04-07)
El objeto de la tesis consiste en desarrollar estrategias de modelado y optimización del rendimiento energético de plantas de cogeneración basadas en motores de combustión interna (MCI), mediante el uso de las últimas ...
A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly
(MDPI, 2019-07-11)
This paper presents a dialogue act taxonomy designed for the development of a conversational agent for elderly. The main goal of this conversational agent is to improve life quality of the user by means of coaching sessions ...
A Differentiable Generative Adversarial Network for Open Domain Dialogue
(2019-04)
This work presents a novel methodology to train open domain neural dialogue systems within the framework of Generative Adversarial Networks with gradient-based optimization methods. We avoid the non-differentiability related ...
Corrective Focus Detection in Italian Speech Using Neural Networks
(Óbuda University, 2018-11)
The corrective focus is a particular kind of prosodic prominence where the speaker is intended to correct or to emphasize a concept. This work develops an Artificial Cognitive System (ACS) based on Recurrent ...
Can Spontaneous Emotions be Detected from Speech on TV Political Debates?
(IEEE, 2019)
Decoding emotional states from multimodal signals is an increasingly active domain, within the framework of affective computing, which aims to a better understanding of Human-Human Communication as well as to improve Human- ...
High field, high frequency and temperature adjustable AC magnetometer for magnetic hyperthermia characterization.
(2020-12-21)
La hipertermia magnética, es una terapia innovadora contra el cáncer, que consiste en destruir células cancerosas mediante el uso de nanopartículas magnéticas calentadas con campos magnéticos alternos. La tasa de absorción ...