Results 41 to 50 of about 2,979,249 (191)
Uncertainty effect on leak localisation in a DMA [PDF]
, 2016 The leak localisation methodologies based on data and models are affected by both uncertainties in the model and in the measurements. This uncertainty should be quantified so that its effect on the localisation methods performance can be estimated.
Blesa Izquierdo, Joaquim +4 more
core +1 more source
Dynamic response of a 190m-high transmission tower for a large river crossing
Journal of Civil Engineering and Management, 2016 The construction of a double circuit 500kV transmission line (TL) in the Brazilian Amazon region is currently in progress. In addition to its length within the rain forest, the TL had to overcome large river crossings and environmental constrains. Among
Leandro Fleck Fadel Miguel +4 more
doaj +1 more source
Gas Storage Valuation and Hedging: A Quantification of Model Risk
International Journal of Financial Studies, 2018 This paper focuses on the valuation and hedging of gas storage facilities, using a spot-based valuation framework coupled with a financial hedging strategy implemented with futures contracts. The contributions of this paper are two-fold.
Patrick Hénaff +2 more
doaj +1 more source
UNCERTAINTY IN TMDL MODELS [PDF]
Transactions of the ASABE, 2006 Although the U.S. Congress established the Total Maximum Daily Load (TMDL) program in the original Clean Water Act of 1972, Section 303(d), it did not receive attention until the 1990s. Currently, two methods are available for tracking pollution in the environment and assessing the effectiveness of the TMDL process on improving the quality of impaired ...
Shirmohammadi, A. +11 more
openaire +1 more source
Trustworthy Super-Resolution of Multispectral Sentinel-2 Imagery With Latent Diffusion
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingRemote sensing super-resolution aims to enhance the spatial details of satellite images by introducing meaningful high-frequency features while avoiding hallucinations and spectral distortions.
Simon Donike +3 more
doaj +1 more source
Sharp Probability Tail Estimates for Portfolio Credit Risk
Risks, 2022 Portfolio credit risk is often concerned with the tail distribution of the total loss, defined to be the sum of default losses incurred from a collection of individual loans made out to the obligors.
Jeffrey F. Collamore +2 more
doaj +1 more source
Retrospective model-based inference guides model-free credit assignment [PDF]
, 2019 An extensive reinforcement learning literature shows that organisms assign credit efficiently, even under conditions of state uncertainty. However, little is known about credit-assignment when state uncertainty is subsequently resolved.
A Lak +32 more
core +3 more sources
Journal of Marine Science and Engineering, 2020 This paper conducts coupled Eulerian–Lagrangian (CEL) analysis to characterize the model uncertainty of using the cylindrical shear method (CSM) to predict the pullout capacity of helical anchors in cohesive soils.
Po Cheng +3 more
doaj +1 more source
Model Uncertainty and Selection of Risk Models for Left-Truncated and Right-Censored Loss Data
Risks, 2023 Insurance loss data are usually in the form of left-truncation and right-censoring due to deductibles and policy limits, respectively. This paper investigates the model uncertainty and selection procedure when various parametric models are constructed to
Qian Zhao, Sahadeb Upretee, Daoping Yu
doaj +1 more source
Measuring the Uncertainty of Predictions in Deep Neural Networks with Variational Inference
Sensors, 2020 We present a novel approach for training deep neural networks in a Bayesian way. Compared to other Bayesian deep learning formulations, our approach allows for quantifying the uncertainty in model parameters while only adding very few additional ...
Jan Steinbrener +2 more
doaj +1 more source