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Mostrando ítems 31-40 de 1975
Simple Excitation Model for Coaxial Driven Monopole Antennas
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2010)
A new excitation model for the numerical solution of field integral equation (EFIE) applied to arbitrarily shaped monopole antennas fed by coaxial lines is presented. This model yields a stable solution for the input ...
Machine learning methods applied to drilling rate of penetration prediction and optimization - A review
(2019-12-01)
Drilling wells in challenging oil/gas environments implies in large capital expenditure on wellbore's construction. In order to optimize the drilling related operation, real-time decisions making have been put in place, ...
Exploring the Roles of Local Mobility Patterns, Socioeconomic Conditions, and Lockdown Policies in Shaping the Patterns of COVID-19 Spread
(2021)
The COVID-19 crisis has shown that we can only prevent the risk of mass contagion
through timely, large-scale, coordinated, and decisive actions. This pandemic has also highlighted the critical importance of generating ...
A metrics-driven inspection framework for model transformations
(Curran Associates, 2019)
Model transformations are key elements of Model-driven Engineering. They allow querying, synthesizing and transforming models into other models or code. [Problem] However, as with other software development artefacts, they ...
Mockup-Driven Development: Providing agile support for Model-Driven Web Engineering
(Elsevier Science, 2014-06)
Context Agile software development approaches are currently becoming the industry standard for Web Application development. On the other hand, Model-Driven Web Engineering (MDWE) methodologies are known to improve productivity ...
Model-Driven and Software Product Line Engineering (ISTE)
(Wiley-IEEE Press, 2012-01-01)
Many approaches to creating Software Product Lines have emerged that are based on Model-Driven Engineering. This book introduces both Software Product Lines and Model-Driven Engineering, which have separate success stories ...
Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models
One threatening medical problem for human beings is the increasing antimicrobial resistance of some microorganisms. This problem is especially difficult in Intensive Care Units (ICUs) of hospitals due to the vulnerable ...
A dynamic data-driven method for dealing with model structural error in soil moisture data assimilation
(Elsevier, 2019-10)
Attributing to the flexibility in considering various types of observation error and model error, data assimilation has been increasingly applied to dynamically improve soil moisture modeling in many hydrological practices. ...