Articles with "ensemble data" as a keyword



Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling

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Published in 2017 at "Catena"

DOI: 10.1016/j.catena.2017.05.034

Abstract: Abstract This paper presents GIS-based new ensemble data mining techniques that involve an adaptive neuro-fuzzy inference system (ANGIS) with genetic algorithm, differential evolution, and particle swarm optimization for landslide spatial modelling. This research was tested… read more here.

Keywords: mining techniques; data mining; genetic algorithm; ensemble data ... See more keywords

Navigating Uncertainty: Challenges in Visualizing Ensemble Data and Surrogate Models for Decision Systems

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Published in 2025 at "IEEE Computer Graphics and Applications"

DOI: 10.1109/mcg.2025.3549665

Abstract: Uncertainty visualization plays a critical role in transforming ensemble simulation data into actionable insights by effectively communicating various dimensions of uncertainty within a system. The emergence of artificial intelligence-driven surrogate models trained on multirun ensemble… read more here.

Keywords: visualization; ensemble data; data surrogate; surrogate models ... See more keywords

Robust Ensemble Data Analytics for Incomplete PMU Measurements-Based Power System Stability Assessment

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Published in 2018 at "IEEE Transactions on Power Systems"

DOI: 10.1109/tpwrs.2017.2698239

Abstract: This letter proposes a new ensemble data-analytics model for PMU-based pre-contingency stability assessment (SA) considering incomplete data measurements. The model consists of a minimum number of single classifiers which are, respectively, trained by a strategically… read more here.

Keywords: pmu measurements; data analytics; power; ensemble data ... See more keywords

Global Ocean Extreme Wave Heights from Spatial Ensemble Data

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Published in 2019 at "Journal of Climate"

DOI: 10.1175/jcli-d-19-0255.1

Abstract: A novel approach to estimation of extreme value ocean significant wave height is investigated, in which data from adjacent regions are pooled to form a spatial ensemble. The equivalent duration of this ensemble region is… read more here.

Keywords: extreme wave; ocean extreme; data global; spatial ensemble ... See more keywords

Comparison of Basic and Ensemble Data Mining Methods in Predicting 5-Year Survival of Colorectal Cancer Patients

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Published in 2017 at "Acta Informatica Medica"

DOI: 10.5455/aim.2017.25.254-258

Abstract: Introduction: Colorectal cancer (CRC) is one of the most common malignancies and cause of cancer mortality worldwide. Given the importance of predicting the survival of CRC patients and the growing use of data mining methods,… read more here.

Keywords: data mining; mining; year survival; ensemble data ... See more keywords