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Multicolor multiscale brain imaging with chromatic multiphoton serial microscopy
(Nature Publishing, 2019-04-10)
Large-scale microscopy approaches are transforming brain imaging, but currently lack efficient multicolor contrast modalities. We introduce chromatic multiphoton serial (ChroMS) microscopy, a method integrating one-shot ...
Identification of Enablers and Barriers for Public Bike Share System Adoption using Social Media and Statistical Models
(MDPI, 2019-11)
Public bike share (PBS) systems are meant to be a sustainable urban mobility solution in areas where different travel options and the practice of active transport modes can diminish the need on the vehicle and decrease ...
Variable selection for data aggregated from different sources with group of variable structure
(2019-11-14)
During the last decades, the amount of available genetic data on populations has grown drastically. From one side, a refinement of chemical technologies have made possible the extraction of the human genome of individuals ...
Cloud point labelling in optical motion capture systems
(2019-02-15)
This Thesis deals with the task of point labeling involved in the overall workflow of Optical Motion Capture Systems. Human motion capture by optical sensors produces at each frame snapshots of the motion as a cloud of ...
Radiomics and Texture Analysis in Laryngeal Cancer. Looking for New Frontiers in Precision Medicine through Imaging Analysis
(MDPI, 2019-09-20)
Radiomics and texture analysis represent a new option in our biomarkers arsenal. These techniques extract a large number of quantitative features, analyzing their properties to incorporate them in clinical decision-making. ...
Indoor Crowd 3D Localization in Big Buildings from Wi-Fi Access Anonymous Data
(MDPI, 2019-09-27)
Indoor crowd localization and counting in big public buildings pose problems of infrastructure deployment, signal processing, and privacy. Conventional approaches based on optical cameras, either in the visible or infrared ...
K-means for massive data
(2019-04-30)
The K-means algorithm is undoubtedly one of the most popular clustering analysis techniques, due to its easiness in the implementation, straightforward parallelizability and competitive computational complexity, when ...
Application of machine learning techniques to weather forecasting
(2019-02-11)
El pronóstico del tiempo es, incluso hoy en día, una actividad realizada principalmente por humanos. Si bien las simulaciones por computadora desempeñan un papel importante en el modelado del estado y la evolución de la ...
Ubiquitous volume rendering in the web platform
(2019-04-26)
The main thesis hypothesis is that ubiquitous volume rendering can be achieved using WebGL. The thesis enumerates the challenges that should be met to achieve that goal. The results allow web content developers the integration ...
Contributions to virtual reality
(2019-01-18)
The thesis contributes in three Virtual Reality areas: ¿ Visual perception: a calibration algorithm is proposed to estimate stereo projection parameters in head-mounted displays, so that correct shapes and distances can ...