Geometry‐derived statistical significance: A probabilistic framework for detecting true positive findings in MRI data
Sign Up to like & getrecommendations! Published in 2023 at "Brain and Behavior"
DOI: 10.1002/brb3.2865
Abstract: The false discovery rate (FDR) procedure does not incorporate the geometry of the random field and requires high statistical power at each voxel, a requirement not satisfied by the limited number of participants in imaging… read more here.
Keywords: statistical significance; probabilistic framework; geometry; significance probabilistic ... See more keywords
A fully probabilistic framework to compute the residual rockfall risk in presence of mitigation measures
Sign Up to like & getrecommendations! Published in 2024 at "Landslides"
DOI: 10.1007/s10346-024-02377-8
Abstract: Rockfall events are expected to rise throughout the future due to climate change and extreme meteorological events. In the perspective of climate change adaptation, an accurate quantification of the risk is needed, together with a… read more here.
Keywords: framework compute; presence; probabilistic framework; risk ... See more keywords
A novel probabilistic framework to study the impact of photovoltaic-battery systems on low-voltage distribution networks
Sign Up to like & getrecommendations! Published in 2019 at "Applied Energy"
DOI: 10.1016/j.apenergy.2019.113669
Abstract: Battery storage, particularly residential battery storage coupled with rooftop photovoltaics (PV), is emerging as an essential component of the smart grid technology mix. However, including battery storage and other flexible resources like electric vehicles and… read more here.
Keywords: low voltage; battery; battery systems; novel probabilistic ... See more keywords
Probabilistic framework for multiaxial LCF assessment under material variability
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Fatigue"
DOI: 10.1016/j.ijfatigue.2017.06.019
Abstract: Abstract The influence of material variability upon the multiaxial LCF assessment of engineering components is missing for a comprehensive description. In this paper, a probabilistic framework is established for multiaxial LCF assessment of notched components… read more here.
Keywords: probabilistic framework; material variability; lcf assessment; multiaxial lcf ... See more keywords
A Multivariate Probabilistic Framework for Tracking the Intertropical Convergence Zone: Analysis of Recent Climatology and Past Trends
Sign Up to like & getrecommendations! Published in 2018 at "Geophysical Research Letters"
DOI: 10.1029/2018gl079865
Abstract: Due to its importance for water availability in the tropics and subtropics, efficient tracking of the seasonal and long-term shifts of the intertropical convergence zone (ITCZ) is of great value. Current approaches, which are based… read more here.
Keywords: probabilistic framework; zone; convergence zone; climatology ... See more keywords
A probabilistic framework for describing a class of switching signals in continuous-time
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Control"
DOI: 10.1080/00207179.2024.2344045
Abstract: We present an interpretation of switching signals with certain average dwell time in terms of Poisson process, which allows to build a probabilistic framework to accommodate all the switching signals of this kind. As a… read more here.
Keywords: switching signals; probabilistic framework; framework describing; time ... See more keywords
From yards to cities: a simple and generalizable probabilistic framework for upscaling outdoor water conservation behavior
Sign Up to like & getrecommendations! Published in 2020 at "Environmental Research Letters"
DOI: 10.1088/1748-9326/ab7c1e
Abstract: NSF Partnerships for International Research and Education [OISE-1243543]; UC Office of the President Multi-campus Research Program Initiative award [MRP-17-455083]; Virginia Tech's Open Access Subvention Fund; UCI Newkirk Center for Science & Society Graduate Student Fellowship… read more here.
Keywords: yards cities; cities simple; probabilistic framework; generalizable probabilistic ... See more keywords
A Probabilistic Framework for Building Extraction From Airborne Color Image and DSM
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2016.2616446
Abstract: This paper proposes a supervised probabilistic framework for building extraction. Multiple features from both images and point clouds can be fused in this framework to achieve global optimal building extraction. Basically, it adopts conditional random… read more here.
Keywords: framework; color; building extraction; probabilistic framework ... See more keywords
PRIMA++: A Probabilistic Framework for User Choice Modelling With Small Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3054986
Abstract: We face choice problems every day, where we have to choose from options with multiple conflicting attributes, and learning a user's personal preference in choice problems is particularly important. For example, in E-commerce applications, this… read more here.
Keywords: framework user; choice; prima probabilistic; framework ... See more keywords
Probabilistic framework for the assessment of the flexural design of concrete sleepers
Sign Up to like & getrecommendations! Published in 2019 at "Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit"
DOI: 10.1177/0954409719854569
Abstract: An extensive study of the flexural performance of monoblock prestressed concrete sleepers in a light rail system was conducted as part of a research program funded by the Federal Transit Administration. Five consecutive sleepers deployed… read more here.
Keywords: probabilistic framework; flexural design; assessment flexural; framework assessment ... See more keywords
A Unified Probabilistic Framework for Modeling and Inferring Spatial Transcriptomic Data
Sign Up to like & getrecommendations! Published in 2023 at "Current Bioinformatics"
DOI: 10.2174/1574893618666230529145130
Abstract: Spatial transcriptomics (ST) can provide vital insights into tissue function with the spatial organization of cell types. However, most technologies have limited spatial resolution, i.e., each measured location contains a mixture of cells, which only… read more here.
Keywords: probabilistic framework; inferring spatial; unified probabilistic; modeling inferring ... See more keywords