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Table: Multi-sensor Fusion Rules
Table: Multi-sensor Fusion Rules
The output of this table is used as Table 1 of the paper: Wangyan Li, Zidong Wang, Guoliang Wei, Lifeng Ma, Jun Hu, and Derui Ding, “A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks,” Discrete Dynamics in Nature and Society, vol. 2015, Article ID 683701, 12 pages, 2015. doi: 10.1155/2015/683701.
Wangyan Li
mu4e refcard
mu4e refcard
Mu4e reference card
4 mu4e
Curriculum Vitae (ENG)
Curriculum Vitae (ENG)
My Curriculum Vitae (English Version)
Andrea Magazzini
Optimal Therapeutic Window Model of Interferon alpha and Imatinib in Combination Therapy in CML Patients
Optimal Therapeutic Window Model of Interferon alpha and Imatinib in Combination Therapy in CML Patients
Chronic Myeloid Leukemia is a type of cancer that starts in certain blood-forming cells of the bone marrow. Interferon-\(\alpha\) was once the standard front-line treatment producing remission rates of only 28.3 percent in 1991. After the highly effective drugs first became available in 2001, survival rates have increased immensely. According to the American Cancer Society, one large study of CML patients treated with a drug called imatinib found that about 90 percent of them were still alive 5 years after starting treatment. While imatinib has changed the way oncologists treat CML, remission is common after extended gaps in treatment. In this paper, we will explore the long-term dynamics of CML under treatment through the use of use of theoretical and mathematical components. We closely base our methods upon the approach of Urszula Ledzewicz and Helen Moore. We will introduce our unique model and explain component selections, while we move towards understanding the optimal interactions of imatinib and interferon-\(\alpha\) against dormant and proliferating CML cells. Our future work involving optimal control dynamics will be briefly introduced and further solutions are currently ongoing.
Arianna Kalkandis
Introducción a MATLAB
Introducción a MATLAB
En el presente post, haremos una breve introducción de la herramienta MATLAB. Presentaremos funciones, operaciones y gráficos con más de dos datos, para asi luego ordenar y hacer cálculos con matrices.
Benjamin Pastene Rebolledo
Competition Robot Engineering Notebook for 2016 TYESA/ASEE
Competition Robot Engineering Notebook for 2016 TYESA/ASEE
Engineering notebook, outlining the design process of an autonomous robot competing in the 2016 TYESA/ASEE robot parade competition.
Jacob Kiggins
Pooja Panwar resume
Pooja Panwar resume
1 year experience resume
Pooja Panwar
Laboratorio 6: Matlab 01
Laboratorio 6: Matlab 01
Trabajo Herramientas.
Renata Fuentealba
Programacióon Bajo Plataformas Abiertas Laboratorio 2
Programacióon Bajo Plataformas Abiertas Laboratorio 2
Este reporte tiene como objetivo principal conocer y comprender los comandos relacionados con el manejo de archivos y directorios, además de aquellos relacionados con el tema de rutas relativas y absolutas, listar contenidos y copiar texto entre archivos. El laboratorio se realiza a partir de las instrucciones dadas por el profesor, en las cuales se detalla cada paso y estos serán explicados en la sección de análisis de resultados. El manejo de estos comandos es importante para seguir comprendiendo los fundamentos básicos de la consola de Linux aprendidos en las primeras semanas de clases, con el fin de aplicarlos como un conjunto en un futuro.
Daniel Meseguer