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Computational intelligence contributions to readmisision risk prediction in Healthcare systems
(2017-10-26)
The Thesis tackles the problem of readmission risk prediction in healthcare systems from a machine learning and computational intelligence point of view. Readmission has been recognized as an indicator of healthcare quality ...
Real-time multi-domain optimization controller for multi-motor electric vehicles using automotive-suitable methods and heterogeneous embedded platforms
(2019-06-25)
In this Thesis, an elaborate control solution combining Machine Learning and Soft Computing techniques has been developed, targeting a chal lenging vehicle dynamics application aiming to optimize the torque distribution ...
A Complete Framework for a Behavioral Planner with Automated Vehicles: A Car-Sharing Fleet Relocation Approach
; Zubizarreta Pico, Asier 
; (MDPI, 2022-11-09)
; (MDPI, 2022-11-09)
Currently, research on automated vehicles is strongly related to technological advances to achieve a safe, more comfortable driving process in different circumstances. The main achievements are focused mainly on highway ...
EMD-based data augmentation method applied to handwriting data for the diagnosis of Essential Tremor using LSTM networks
(Nature, 2022)
The increasing capacity of today's technology represents great advances in diagnosing diseases using standard procedures supported by computer science. Deep learning techniques are able to extract the characteristics of ...
A reduced reference video quality assessment method for provision as a service over SDN/NFV-enabled networks
(2018-12-20)
The proliferation of multimedia applications and services has generarted a noteworthy upsurge in network traffic regarding video content and has created the need for trustworthy service quality assessment methods. Currently, ...
Evaluation of the theoretical, technical and economic potential of industrial waste heat recovery in the Basque Country
; Campos Celador, Alvaro ; ; (Esevier, 2021-08-20)
; ; (Esevier, 2021-08-20)
Industrial waste heat recovery shows significant potential for increasing energy efficiency in industry. However, to design strategies that exploit this potential, it is necessary to have data about the quantity and ...
On the Analysis of Speech and Disfluencies for Automatic Detection of Mild Cognitive Impairment
(Springer, 2020-10)
Alzheimer's disease is characterized by a progressive and irreversible cognitive deterioration. In a previous stage, the so-called Mild Cognitive Impairment or cognitive loss appears. Nevertheless, this previous stage does ...
Multilingual audio information management system based on semantic knowledge in complex environments
; ; ; Hernández Gómez, María del Carmen ; Ezeiza Ramos, Aitzol ; ; (Springer, 2020)
; Ezeiza Ramos, Aitzol ; ; (Springer, 2020)
This paper proposes a multilingual audio information management system based on semantic knowledge in complex environments. The complex environment is defined by the limited resources (financial, material, human, and audio ...
Hondatze kognitibo arinaren detekzio goiztiarrerako hizketa ezagutza automatikoan oinarrituriko ekarpenak
(2017-07-27)
Alzheimerdun gaixoengan, mintzamena ez ezik, erantzun emozionala ere kaltetu egiten da. Emozioak giza gogoaren arkitekturarekin zerikusia dituzten prozesu kognitiboak dira, eta erabakiak hartzearekin eta oroimenaren kudeaketa ...
Application of Entropy and Fractal Dimension Analyses to the Pattern Recognition of Contaminated Fish Responses in Aquaculture
(MDPI, 2014-11)
The objective of the work was to develop a non-invasive methodology for image acquisition, processing and nonlinear trajectory analysis of the collective fish response to a stochastic event. Object detection and motion ...