Results 31 to 40 of about 45,779,043 (381)
Effective Variational Data Assimilation in Air-Pollution Prediction
Big Data Mining and Analytics, 2018 Numerical simulations are widely used as a predictive tool to better understand complex air flows and pollution transport on the scale of individual buildings, city blocks, and entire cities.
Rossella Arcucci +2 more
doaj +1 more source
Survey on Data Analysis in Social Media: A Practical Application Aspect
Big Data Mining and Analytics, 2020 Social media has more than three billion users sharing events, comments, and feelings throughout the world. It serves as a critical information source with large volumes, high velocity, and a wide variety of data.
Qixuan Hou, Meng Han, Zhipeng Cai
doaj +1 more source
Iteratively regularized Newton-type methods for general data misfit functionals and applications to Poisson data [PDF]
, 2012 We study Newton type methods for inverse problems described by nonlinear operator equations $F(u)=g$ in Banach spaces where the Newton equations $F'(u_n;u_{n+1}-u_n) = g-F(u_n)$ are regularized variationally using a general data misfit functional and a ...
A Antoniadis +37 more
core +2 more sources
Model Error Correction in Data Assimilation by Integrating Neural Networks
Big Data Mining and Analytics, 2019 In this paper, we suggest a new methodology which combines Neural Networks (NN) into Data Assimilation (DA). Focusing on the structural model uncertainty, we propose a framework for integration NN with the physical models by DA algorithms, to improve ...
Jiangcheng Zhu +5 more
doaj +1 more source
Bayesian nonparametric models for spatially indexed data of mixed type [PDF]
, 2014 We develop Bayesian nonparametric models for spatially indexed data of mixed type. Our work is motivated by challenges that occur in environmental epidemiology, where the usual presence of several confounding variables that exhibit complex interactions ...
Best, Nicky +2 more
core +2 more sources
A Software Development Model for the Automatic Generation of Classes
CLEI Electronic Journal, 2018 In this paper it is presented a software development model based on transformations that allows to derive, in an automatic way, classes in object-oriented programming languages (Ada 95, C++, Eiffel and Java) starting from formal specifications.
Eugenio Scalise, Nancy Zambrano
doaj +1 more source
Backscatter technologies and the future of Internet of Things: Challenges and opportunities
Intelligent and Converged Networks, 2020 Energy source and circuit cost are two critical challenges for the future development of the Internet of Things (IoT). Backscatter communications offer a potential solution to conveniently obtain power and reduce cost for sensors in IoT, and researchers ...
Chaochao Yao +4 more
doaj +1 more source
Chain graph models of multivariate regression type for categorical data [PDF]
, 2011 We discuss a class of chain graph models for categorical variables defined by what we call a multivariate regression chain graph Markov property. First, the set of local independencies of these models is shown to be Markov equivalent to those of a chain ...
Lupparelli, Monia +1 more
core +1 more source
Not all data are equal: Influence of data type and amount in spatial conservation prioritisation
Methods in Ecology and Evolution, 2018 Decisions about land use significantly influence biodiversity globally. The field of spatial conservation prioritisation explores allocation of conservation effort, including for reserve network expansion, targeting habitat restoration, or minimising ...
H. Kujala +3 more
semanticscholar +1 more source
2013 28th Annual ACM/IEEE Symposium on Logic in Computer Science, 2013 Data types are undergoing a major leap forward in their sophistication driven by a conjunction of i) theoretical advances in the foundations of data types, and ii) requirements of programmers for ever more control of the data structures they work with.
Ghani, Neil +3 more
openaire +2 more sources