76 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Universidad del ValleCO4 papers
- University of YorkGB3 papers
- Centre de Coopération Internationale en Recherche Agronomique pour le DéveloppementFR2 papers
- UMR Botanique et Modélisation de l’Architecture des Plantes et des végétationsFR2 papers
- Universidade Federal do ABCBR2 papers
- University of PretoriaZA2 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- CERMICSFR1 paper
- Institut de Recherche pour le DéveloppementFR1 paper
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementFR1 paper
- Johannes Gutenberg University MainzDE1 paper
- Laboratoire Jacques-Louis LionsFR1 paper
10 papers
Harnessing Nth Root Gates for Energy Storage
Elliot Fox, Marcela Herrera, Ferdinand Schmidt-Kaler +1
We explore the use of fractional control-not gates in quantum thermodynamics. The Nth-root gate allows for a paced application of two-qubit operations. We apply it in quantum therm…
Correlation-boosted quantum engine: A proof-of-principle demonstration
Marcela Herrera, John H. Reina, Irene D'Amico +1
Employing currently available quantum technology, we design and implement a non-classically correlated SWAP heat engine that allows to achieve an efficiency above the standard Carn…
Easy access to energy fluctuations in non-equilibrium quantum many-body systems
Marcela Herrera, John P. S. Peterson, Roberto M. Serra +1
We combine theoretical and experimental efforts to propose a method for studying energy fluctuations, in particular, to obtain the related bi-stochastic matrix of transition probab…
Divide and Conquer: an Accurate Machine Learning Algorithm to Process Split Videos on a Parallel Processing Infrastructure
Walter M. Mayor Toro, Juan C. Perafan Villota, Oscar H. Mondragon +1
Every day the number of traffic cameras in cities rapidly increase and huge amount of video data are generated. Parallel processing infrastruture, such as Hadoop, and programming m…
Exploiting the potential of deep reinforcement learning for classification tasks in high-dimensional and unstructured data
Johan S. Obando-Ceron, Victor Romero Cano, Walter Mayor Toro
This paper presents a framework for efficiently learning feature selection policies which use less features to reach a high classification precision on large unstructured data. It…
Optimal Control Approach for Implementation of Sterile Insect Techniques
Pierre-Alexandre Bliman, Daiver Cardona-Salgado, Yves Dumont +1
Vector or pest control is essential to reduce the risk of vector-borne diseases or crop losses. Among the available biological control tools, the Sterile Insect Technique (SIT) is…
Implementation of Control Strategies for Sterile Insect Techniques
Pierre-Alexandre Bliman, Daiver Cardona-Salgado, Yves Dumont +1
In this paper, we propose a sex-structured entomological model that serves as a basis for design of control strategies relying on releases of sterile male mosquitoes (Aedes spp) an…
Deep Learning on Retina Images as Screening Tool for Diagnostic Decision Support
Maria Camila Alvarez Trivino, Jeremie Despraz, Jesus Alfonso Lopez Sotelo +1
In this project, we developed a deep learning system applied to human retina images for medical diagnostic decision support. The retina images were provided by EyePACS. These image…
Viable Control of an Epidemiological Model
Michel De Lara, Lilian Sofia Sepulveda Salcedo
In mathematical epidemiology, epidemic control often aims at driving the number of infected individuals to zero, asymptotically. However , during the transitory phase, the number o…
Control Neuronal por Modelo Inverso de un Servosistema Usando Algoritmos de Aprendizaje Levenberg-Marquardt y Bayesiano
Victor A. Rodriguez-Toro, Jaime E. Garzon, Jesus A. Lopez
In this paper we present the experimental results of the neural network control of a servo-system in order to control its speed. The control strategy is implemented by using an inv…