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DNINFOA - SIA
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Now showing items 1-17 of 17
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A computational justice model for resources distribution in Ad Hoc Networks
We propose a computational justice model for resource distribution in ad hoc networks using socially inspired computing and agent-based modeling. Ad hoc networks are self-organizing systems in which there is no central ... -
Computational anatomy strategies for characterization of brain patterns associated with Alzheimer's disease
La enfermedad de Alzheimer (EA) es una de las fallas sistemáticas del sistema nervioso más complejas que se conocen. Los síntomas clínicos de esta enfermedad neurodegenerativa son alteraciones de la cognición y el ... -
A computational model for interpretable visual category discovery of foliar shapes
Los estudios de descripción morfológica de hojas son complejos en la medida que requieren de personal altamente entrenado y de la consulta de una gran cantidad de documentación disponible como i.e., sistemas de categorías ... -
Computational strategies to characterize topological properties of pathologically altered functional brain networks
Consciousness alterations, including disorders of consciousness (DOC), propose a defiant scenario from the prognosis and diagnosis perspectives. Brain resting-state functional imaging mitigates this challenge, offering ... -
Deep learning analysis of eye fundus images to support medical diagnosis
Machine learning techniques have been successfully applied to support medical decision making of cancer, heart diseases and degenerative diseases of the brain. In particular, deep learning methods have been used for early ... -
A deep learning question answering method over mixed closed domain information sources
Question Answering (QA) is an active research area due to its usefulness in accessing the ever increasing amount of data. Information needs have led to the emergence of new information retrieval paradigms in which the user ... -
Design of a multiport frequency reconfigurable antenna suitable for IMT-advanced communications systems
This thesis tackles the design, manufacture and validation of multi-port and frequency reconfigurable antennas intended for advanced communications applications. The main accomplishments of this thesis are: Extension of ... -
Design of Fault Tolerant Embedded Systems using Approximate Computing Techniques.
Due to technological scaling, the susceptibility of modern systems to radiation effects has been steadily increasing. Consequently, it has become essential to protect systems against such faults. While these faults, referred ... -
Detección de emulación de usuario primario con localización dinámica en la red de radio cognitiva móvil mediante diseño cross-layer
In the design of Cognitive Radio Mobile Networks, the detection of attacks such as primary user emulation is essential as it avoids secondary users interfering with primary users of the cellular mobile network. In addition, ... -
Efficient Non-Parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection
The main goal of this thesis is to propose efficient non-parametric density estimation methods that can be integrated with deep learning architectures, for instance, convolutional neural networks and transformers. A ... -
Goal modeling for the strategic alignment of business and IT
La brecha entre el desarrollo y el análisis de las estrategias de negocio y de TI, en la práctica y la literatura, afecta la forma en que TI usa las estrategias para definir y priorizar los recursos para proyectos, iniciativas ... -
Modelo para la evaluación multicriterio de tecnologías en salud
Desde una perspectiva de salud pública, el enfoque multicriterio en las evaluaciones de tecnologías en salud (ETES) ha permitido incorporar atributos adicionales a la efectividad y al costo para establecer el beneficio ... -
Modelo semántico de contexto extendido con Linked Open Data para IoT
The exponential growth of connected devices is radically changing modern society. This phenomenon, also known as the Internet of Things, is conditioning an unprecedented technological and data revolution. Among the diverse ... -
Pathologically driven radiomic markers for advanced characterization of disease phenotype and response on radiographic imaging
Medical diagnosis is essential to provide patients with the more adequate healthcare management and define how any planned treatment shall be conducted. For years, the method to construct medical knowledge, determine ... -
Planning under uncertainty using a dynamical systems approach for autonomous vehicles
La planeación del movimiento para sistemas robóticos (o simplemente robots, o vehículos) es un problema bastante bien estudiado. Resultados significativos se han obtenido en la literatura y se han llevado a la práctica en ... -
Regression and multimodal learning to aid diagnosis in ophthalmology and histopathology
The main contribution of this thesis is the development of probabilistic machine learning models to support disease diagnosis from medical data sources. We show how a probabilistic approach offers great versatility in ... -
Road accident forecast by using predictive modeling techniques
Los accidentes de tránsito son una gran preocupación a nivel mundial, ya que tienen un impacto significativo en la seguridad, la salud y el bienestar de las personas, por lo que constituyen un importante campo de investigación ...
