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An online data access prediction and optimization approach for distributed systems
(IEEE COMPUTER SOCLOS ALAMITOS, 2012)
Current scientific applications have been producing large amounts of data. The processing, handling and analysis of such data require large-scale computing infrastructures such as clusters and grids. In this area, studies ...
Disturbance decoupling in a class of linear systems
(Ieee-inst Electrical Electronics Engineers IncNew York, 1997)
System Dynamics for Industrial Engineers and Scientific ManagersChapter 1. Systems Thinking and System Dynamics
(Editorial Digital del Tecnológico de Monterrey, 2017)
Statistical physics approaches to the complex Earth system
Global warming, extreme climate events, earthquakes and their accompanying socioeconomic disasters pose significant risks to humanity. Yet due to the nonlinear feedbacks, multiple interactions and complex structures of the ...
What is behind fare evasion in urban bus systems? An econometric approach
(2015)
Fare evasion is a problem in many public transport systems around the world and policies to reduce it are generally aimed at improving control and increasing fines. We use an econometric approach to attempt explaining the ...
Putative bacterial interactions from metagenomic knowledge with an integrative systems ecology approach
(2016)
Following the trend of studies that investigate microbial ecosystems using different metagenomic techniques, we propose a new integrative systems ecology approach that aims to decipher functional roles within a consortium ...
Putative bacterial interactions from metagenomic knowledge with an integrative systems ecology approach
(2016)
Following the trend of studies that investigate microbial ecosystems using different metagenomic techniques, we propose a new integrative systems ecology approach that aims to decipher functional roles within a consortium ...
Social group recommendation in the tourism domain
(Springer, 2016-10)
Recommender Systems learn users’ preferences and tastes in different domains to suggest potentially interesting items to users. Group Recommender Systems generate recommendations that intend to satisfy a group of users as ...