Geophysics-Based Fluid-Facies Predictions Using Ensemble Updating of Binary State Vectors
Sign Up to like & getrecommendations! Published in 2021 at "Mathematical Geosciences"
DOI: 10.1007/s11004-021-09922-4
Abstract: Fluid flow simulations are commonly used to predict the fluid displacement in subsurface reservoirs; however, model validation is challenging due to the lack of direct measurements. Geophysical data can be used to monitor the displacement… read more here.
Keywords: state; updating binary; binary state; ensemble updating ... See more keywords
Detecting Human Emotions in a Large Size of Database by Using Ensemble Classification Model
Sign Up to like & getrecommendations! Published in 2018 at "Mobile Networks and Applications"
DOI: 10.1007/s11036-018-1074-3
Abstract: One of the most challenging researches in the field of Human-Computer Interaction (HCI) is Speech Emotion Recognition (SER). Several factors affect to the classification result. For example, the accuracy of detecting emotion depends on type… read more here.
Keywords: classification; ensemble classification; speech; model ... See more keywords
Outlier detection using an ensemble of clustering algorithms
Sign Up to like & getrecommendations! Published in 2022 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-11671-9
Abstract: Outlier detection is an important research area in the field of machine learning and data science. The presence of outliers in a dataset limits its true usefulness in a real-life scenario. Due to the varied… read more here.
Keywords: outlier detection; clustering algorithms; using ensemble; detection using ... See more keywords
A robust optimization approach to hybrid microgrid operation using ensemble weather forecasts
Sign Up to like & getrecommendations! Published in 2017 at "Applied Energy"
DOI: 10.1016/j.apenergy.2017.05.068
Abstract: Hybrid microgrids that use renewable energy sources can improve energy security and islanding time while reducing costs. One potential beneficiary of these systems is the U.S. military, which can seek to improve energy security when… read more here.
Keywords: hybrid microgrid; weather forecasts; energy; ensemble weather ... See more keywords
Understanding shifts in estuarine fish communities following disturbances using an ensemble modeling framework
Sign Up to like & getrecommendations! Published in 2021 at "Ecological Indicators"
DOI: 10.1016/j.ecolind.2021.107623
Abstract: Abstract Ecological disturbances may result in mortality events that alter biotic communities and ecosystems. In many coastal zones disturbances are increasing, including algal blooms and fish kills. These two disturbances are often related, with blooms… read more here.
Keywords: fish communities; algal bloom; shifts estuarine; understanding shifts ... See more keywords
Automatic Road Extraction From Remote Sensing Imagery Using Ensemble Learning and Postprocessing
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3094673
Abstract: High-resolution satellite images contain valuable road semantic information, but the occlusion of vegetation and buildings and the sparse distribution and heterogeneous appearance of roads limit the accuracy of road extraction models. In this article, we… read more here.
Keywords: sensing imagery; road; remote sensing; ensemble learning ... See more keywords
Soil Moisture Retrieval From Sentinel-1 and Sentinel-2 Data Using Ensemble Learning Over Vegetated Fields
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3242264
Abstract: Soil moisture (SM) is valuable basic data in climate, hydrological models, and agricultural applications. The rapid development of remote sensing technology can be used to monitor changes in SM at multiple spatial and temporal scales.… read more here.
Keywords: using ensemble; ensemble learning; soil moisture; sentinel ... See more keywords
Prediction of Mechanical Properties of Fly-Ash/Slag-Based Geopolymer Concrete Using Ensemble and Non-Ensemble Machine-Learning Techniques
Sign Up to like & getrecommendations! Published in 2022 at "Materials"
DOI: 10.3390/ma15103478
Abstract: The emission of greenhouse gases and natural-resource depletion caused by the production of ordinary Portland cement (OPC) have a detrimental effect on the environment. Thus, an alternative means is required to produce eco-friendly concrete such… read more here.
Keywords: using ensemble; ensemble non; fly ash; machine learning ... See more keywords