Results 41 to 50 of about 2,032,077 (205)

Probabilistic prediction of aero engine remaining useful life based on Bayesian graph attention transformer

工程科学学报
The aero engine is crucial for the safe flight of aircraft. Predicting its remaining useful life allows for timely maintenance, thereby preventing potential flight accidents.
Yanyan HU, Yating BAI
doaj   +1 more source

Probabilistic Methods for Object Description and Classification [PDF]

, 2006
This thesis extends the utility of probabilistic methods in two diverse domains: multimodal biometrics and machine inspection. The attraction for this approach is that it is easily understood by those using such a system; however the advantages extend ...
Bazin, A. I., Bazin, Alexander Ian
core   +1 more source

Sonification of probabilistic feedback through granular synthesis [PDF]

, 2005
We describe a method to improve user feedback, specifically the display of time-varying probabilistic information, through asynchronous granular synthesis. We have applied these techniques to challenging control problems as well as to the sonification of
R. Murray-Smith, J. Williamson, Murray-Smith, R., Williamson, J.   +3 more
core   +2 more sources

Application of Intelligent Dynamic Bayesian Network with Wavelet Analysis for Probabilistic Prediction of Storm Track Intensity Index

Atmosphere, 2018
The effective prediction of storm track (ST) is greatly beneficial for analyzing the development and anomalies of mid-latitude weather systems. For the non-stationarity, nonlinearity, and uncertainty of ST intensity index (STII), a new probabilistic ...
Ming Li, Kefeng Liu
doaj   +1 more source

Interval reservoir computing: theory and case studies

Frontiers in Energy Research
The time series data in many applications, for example, wind power and vehicle trajectory, show significant uncertainty. Using a single prediction value of wind power as feedback information for wind turbine control or unit commitment is not enough since
Lan-Da Gao, Lan-Da Gao, Zhen-Hua Li, Zhen-Hua Li, Meng-Yi Wu, Meng-Yi Wu, Qing-Lan Fan, Qing-Lan Fan, Ling Xu, Ling Xu, Zhuo-Min Zhang, Zhuo-Min Zhang, Yi-Peng Zhang, Yi-Peng Zhang, Yan-Yue Liu, Yan-Yue Liu   +15 more
doaj   +1 more source

Domain prediction with probabilistic directional context [PDF]

Bioinformatics, 2016
Abstract Motivation Protein domain prediction is one of the most powerful approaches for sequence-based function prediction. While domain instances are typically predicted independently of each other, newer approaches have demonstrated improved performance by rewarding domain pairs that frequently co-
Ochoa, Alejandro, Singh, Mona
openaire   +3 more sources

Probabilistic load flow in systems with high wind power penetration [PDF]

, 2008
This paper proposes a method for solving a probabilistic load flows that takes into account the uncertainties of wind generation, but also of load and conventional systems.
Usaola García, Julio, Usaola, Julio
core   +1 more source

Generative probabilistic prediction of precipitation induced landslide deformation with variational autoencoder and gated recurrent unit

Frontiers in Earth Science
Landslides, prevalent in mountainous areas, are typically triggered by tectonic movements, climatic changes, and human activities. They pose catastrophic risks, especially when occurring near settlements and infrastructure.
Wencheng Cai, Fuan Lan, Xianhao Huang, Junfeng Hao, Weifeng Xia, Ran Tang, Peng Feng, Huajin Li   +7 more
doaj   +1 more source

A new framework for short-term wind power probability forecasting considering spatial and temporal dependence of forecast errors

Frontiers in Energy Research, 2022
Since deterministic prediction errors of wind power cannot be avoided, probabilistic prediction can adequately describe the uncertainty of wind power and, thus, provide further guidance to dispatching authorities for decision making.
Yong Sun, Baoju Li, Wenhui Hu, Zhenyuan Li, Chaoyu Shi   +4 more
doaj   +1 more source

Challenging the role of implicit processes in probabilistic category learning [PDF]

, 2007
Considerable interest in the hypothesis that different cognitive tasks recruit qualitatively distinct processing systems has led to the proposal of separate explicit (declarative) and implicit (procedural) systems.
Lagnado, DA, Shanks, DR, Newell, BR
core