Results 251 to 260 of about 34,112,328 (298)

Classifying healthcare facilities as predictors of COVID-19 mortality rates in US counties (2020-2021). [PDF]

J Public Health (Oxf)
McCulley EM, Hirsch JA, Schnake-Mahl A, Sanchez B, Lovasi GS, Bilal U.   +5 more
europepmc   +1 more source

Label-Free Targeted Proteomics Data Analysis Workflow Selection - Benchmarking AI-based and Data-Driven Approaches. [PDF]

Mol Cell Proteomics
Fochtman D, Marczak Ł, Pietrowska M, Polańska J, Wojakowska A.   +4 more
europepmc   +1 more source

Electromechanical Impedance-Based Hybrid Physical Features and Data-Driven Framework for Simulated Damage Identification and Prediction of Composites in Noisy Environments. [PDF]

Polymers (Basel)
Ma J, Dong L.
europepmc   +1 more source

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Data-Driven Methods for Weather Forecast

2021
In this paper, we propose efficient and practical data-driven methods for weather forecasts. We exploit the information brought by historical weather datasets to build machine-learning-based models. These models are employed to produce numerical forecasts, which can be improved by injecting additional data via data assimilation. Our approaches’ general
Elias David Niño Ruiz, Felipe J. Acevedo García   +1 more
openaire   +1 more source

A data driven method for feature transformation

2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Most image understanding algorithms begin with the extraction of information thought to be relevant to the particular task. This is commonly known as feature extraction and has, up to this date, been a largely manual process, where a reasonable method is chosen through validation on the experimented dataset. In this work we propose a data driven, local
Mert Dikmen, Derek Hoiem, Thomas S. Huang   +2 more
openaire   +1 more source

Data-driven modeling method with reverse process

International Journal of Modeling, Simulation, and Scientific Computing, 2022
The factors that affect the performance of the equipment are numerous and complicated, which makes it difficult to establish a performance calculation model. This paper puts forward a data-driven modeling method with reverse process for this problem. Based on the partial least squares (PLS) algorithm and the gray relational analysis (GRA) method, the ...
Guodong Yi, Lifan Yi, Zaizhao Zhang, Chuihui Li   +3 more
openaire   +1 more source

On the Data-Driven Generalized Cell Mapping Method

International Journal of Bifurcation and Chaos, 2019
Global analysis is often necessary for exploiting various applications or understanding the mechanisms of many dynamical phenomena in engineering practice where the underlying system model is too complex to analyze or even unavailable. Without a mathematical model, however, it is very difficult to apply cell mapping for global analysis. This paper for
Zigang Li, Jun Jiang 0002, Ling Hong, Jian-Qiao Sun   +3 more
openaire   +2 more sources

A Comparison of Data-Driven Automatic Syllabification Methods

2009
Although automatic syllabification is an important component in several natural language tasks, little has been done to compare the results of data-driven methods on a wide range of languages. This article compares the results of five data-driven syllabification algorithms (Hidden Markov Support Vector Machines, IB1, Liang's algorithm, the Look Up ...
Connie R. Adsett, Yannick Marchand
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Data‐driven projection method in fluid simulation

Computer Animation and Virtual Worlds, 2016
AbstractPhysically based fluid simulation requires much time in numerical calculation to solve Navier–Stokes equations. Especially in grid‐based fluid simulation, because of iterative computation, the projection step is much more time‐consuming than other steps.
Cheng Yang, Xubo Yang, Xiangyun Xiao
openaire   +1 more source