Search results for "Inteligencia artificial."
showing 10 items of 60 documents
Application of a self-learning methodology for the enhancement of the oral communication student outcome in International Business studies
2019
[EN] Effective oral communication is one of the most demanded student outcomes in the labour market, especially for degree students on International Business. Although this outcome is usually evaluated in several subjects along the curriculum, it is barely worked neither inside nor outside the classroom, mainly due to lack of time and to unavailability of proper learning methodologies. The PIMECOE project, an innovation and educational improvement project on this matter, has developed a self-learning methodology on the Effective Oral Communication student outcome, in which auto-diagnosis tests, selflearning tools and peer assessments are conveniently combined to enhance the proficiency leve…
Analysis of the main weaknesses of university students regarding the "effective oral communication" student outcome
2019
[EN] The "Effective oral communication" is one of the most demanded student outcomes in the workplace, since being a good communicator is essential in any field. Inefficient communication can lead to misinterpretations and erroneous conclusions. Therefore, it is a very important student outcome both in the university and in the workplace. The student or graduate must know how to communicate effectively, both orally and in writing, appropriately using the necessary resources and adapting to the characteristics of the situation and the audience. However, despite its importance, the disparity in the mastery level of the oral communication student outcome by students makes it difficult to work …
Capability-based Communication Analysis for Enterprise Modelling
2018
Capability-oriented enterprise modelling can provide effective solutions to face changing business context. In the business domain, the notion of capability has gained a lot of attention since it guides the activities of service specification and design. Simultaneously, the research community has been promoting the integration of model-driven development (MDD) approaches with enterprise modelling to support the link between enterprise and software specifications. This integration has becoming vital to ensure the traceability of enterprise models and software implementations, acceleration of software time to market, quality assurance, and enterprise model evolution support. The capability-dr…
Multiproject–multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy
2008
[EN] Automatic brain tumor classification by MRS has been under development for more than a decade. Nonetheless, to our knowledge, there are no published evaluations of predictive models with unseen cases that are subsequently acquired in different centers. The multicenter eTUMOUR project (2004-2009), which builds upon previous expertise from the INTERPRET project (2000-2002) has allowed such an evaluation to take place. A total of 253 pairwise classifiers for glioblastoma, meningioma, metastasis, and low-grade glial diagnosis were inferred based on 211 SV short TE INTERPRET MR spectra obtained at 1.5 T (PRESS or STEAM, 20-32 ms) and automatically pre-processed. Afterwards, the classifiers …
Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years
2019
[EN] Objective To evaluate the effects of Process-Reengineering interventions on the Electronic Health Records (EHR) of a hospital over 7 years. Materials and methods Temporal Variability Assessment (TVA) based on probabilistic data quality assessment was applied to the historic monthly-batched admission data of Hospital La Fe Valencia, Spain from 2010 to 2016. Routine healthcare data with a complete EHR was expanded by processed variables such as the Charlson Comorbidity Index. Results Four Process-Reengineering interventions were detected by quantifiable effects on the EHR: (1) the hospital relocation in 2011 involved progressive reduction of admissions during the next four months, (2) th…
Enhancing Privacy and Authorization Control Scalability in the Grid through Ontologies
2009
The use of data Grids for sharing relevant data has proven to be successful in many research disciplines. However, the use of these environments when personal data are involved (such as in health) is reduced due to its lack of trust. There are many approaches that provide encrypted storages and key shares to prevent the access from unauthorized users. However, these approaches are additional layers that should be managed along with the authorization policies. We present in this paper a privacy-enhancing technique that uses encryption and relates to the structure of the data and their organizations, providing a natural way to propagate authorization and also a framework that fits with many u…
Supercontinuum optimization for dual-soliton based light sources using genetic algorithms in a grid platform
2014
We present a numerical strategy to design fiber based dual pulse light sources exhibiting two predefined spectral peaks in the anomalous group velocity dispersion regime. The frequency conversion is based on the soliton fission and soliton self-frequency shift occurring during super- continuum generation. The optimization process is carried out by a genetic algorithm that provides the optimum input pulse parameters: wavelength, temporal width and peak power. This algorithm is implemented in a Grid platform in order to take advantage of distributed computing. These results are useful for optical coherence tomography applications where bell-shaped pulses located in the second near-infrared wi…
PenRed: An extensible and parallel Monte-Carlo framework for radiation transport based on PENELOPE
2021
Monte Carlo methods provide detailed and accurate results for radiation transport simulations. Unfortunately, the high computational cost of these methods limits its usage in real-time applications. Moreover, existing computer codes do not provide a methodology for adapting these kind of simulations to specific problems without advanced knowledge of the corresponding code system, and this restricts their applicability. To help solve these current limitations, we present PenRed, a general-purpose, stand-alone, extensible and modular framework code based on PENELOPE for parallel Monte Carlo simulations of electron-photon transport through matter. It has been implemented in C++ programming lan…
Intelligence artificielle et problèmes de gouvernance dans les pays en développement
2021
Artificial intelligence (AI) is a strategic pillar for the future of humanity. In this perspective, this article examines the advantages and potentials of its use in developing countries, particularly in the governance of those members of UEMOA. Thus, it should be emphasized that AI could significantly improve the governance of WAEMU countries by limiting intermediation in collection or payment systems and thus contribute to better transparency of the systems. It also makes up for the lack of qualified personnel, especially doctors in the most remote areas, it also strengthens security through its ability to enforce the law in the establishment of means of identification and control, in par…
Are requirements elicitation sessions influenced by participants' gender? An empirical experiment
2021
[EN] Context: Requirements elicitation is a crucial phase in the software development life cycle. During requirements elicitation sessions, requirements engineers capture software requirements, and motivate stakeholders to express needs and expected software functionalities. In this context, there is a lack of extensive empirical research reporting the extent to which elicitation sessions can be influenced by participants' gender. Objective: This paper presents our research endeavour to investigate requirements engineers' effort and elicited requirements' accuracy based on participants' gender. Method: We conducted an experiment in two rounds with a total of 59 students who played the role …