Results 71 to 80 of about 65,665 (164)

Probabilistic Prediction Model for Ultimate Conditions Under Compression of FRP-Wrapped Concrete Columns Based on Bayesian Inference

Buildings
The compressive strength and ultimate strain of FRP-confined concrete cylinders are the key indicators for evaluating their mechanical properties. Accurate prediction of compressive strength and ultimate strain is essential for reliability analysis and ...
Feng Cao, Ran Zhu, Jun-Xing Zheng, Hai-Bin Huang, Dong Liang   +4 more
doaj   +1 more source

Probabilistic predictability of stochastic dynamical systems

Automatica
To assess the quality of a probabilistic prediction for stochastic dynamical systems (SDSs), scoring rules assign a numerical score based on the predictive distribution and the measured state. In this paper, we propose an $ε$-logarithm score that generalizes the celebrated logarithm score by considering a neighborhood with radius $ε$.
Tao Xu, Yushan Li 0001, Jianping He 0001
openaire   +2 more sources

Ensemble learning for uncertainty estimation with application to the correction of satellite precipitation products

Machine Learning. Earth
Predictions in the form of probability distributions are crucial for effective decision-making. Quantile regression enables such predictions within spatial prediction settings that aim to create improved precipitation datasets by merging remote sensing ...
Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis, Anastasios Doulamis   +3 more
doaj   +1 more source

Probabilistic State of Health Prediction for Lithium-Ion Batteries Based on Incremental Capacity and Differential Voltage Curves

Energies
The rapid proliferation of lithium-ion batteries in electric vehicles and grid-scale energy storage systems has underscored the critical need for advanced battery management systems, particularly for accurate state of health (SOH) monitoring.
Qingbin Wang, Hangang Yan, Yuxi Wang, Yun Yang, Xiaoguang Liu, Zhuoqi Zhu, Gancai Huang, Zheng Huang   +7 more
doaj   +1 more source

A probabilistic prediction of the next strong earthquake in the Acapulco-San Marcos segment, Mexico [PDF]

Geofísica Internacional, 2005
Conditional probabilities for recurrence times of large earthquakes are a reasonable and valid form for estimating the likelihood of future large earthquakes.
Sergio G. Ferráes
doaj  

Improved probabilistic neural networks with self-adaptive strategies for transformer fault diagnosis problem

Advances in Mechanical Engineering, 2016
Probabilistic neural network has successfully solved all kinds of engineering problems in various fields since it is proposed. In probabilistic neural network, Spread has great influence on its performance, and probabilistic neural network will generate ...
Jiao-Hong Yi, Jian Wang, Gai-Ge Wang
doaj   +1 more source

Development of physiologically-based gut absorption model for probabilistic prediction of environmental chemical bioavailability. [PDF]

ALTEX, 2023
Lin HC, Chiu WA.
europepmc   +1 more source

Probabilistic prediction of rock avalanche runout using a numerical model. [PDF]

Landslides, 2022
Aaron J, McDougall S, Kowalski J, Mitchell A, Nolde N.   +4 more
europepmc   +1 more source

Bayesian Joint Probability Approach for Post‐Processing Monthly Precipitation Prediction in Northwest Iran

Water Resources Research
The probabilistic prediction of monthly precipitation events, specifically more‐than‐normal (MN), normal (N), and less‐than‐normal (LN) events, holds significant importance in the field of water resource management.
Z. Javanshiri, M. Pakdaman
doaj   +1 more source

Nonparametric Probabilistic Prediction of Ultra-Short-Term Wind Power Based on MultiFusion–ChronoNet–AMC

Energies
Accurate forecasting is crucial for enhancing the flexibility and controllability of power grids. Traditional forecasting methods mainly focus on modeling based on a single data source, which leads to an inability to fully capture the underlying ...
Yan Yan, Yong Qian, Yan Zhou
doaj   +1 more source