Results 21 to 30 of about 12,786,622 (281)
Internet of things based multi-sensor patient fall detection system
Accidental falls of patients cannot be completely prevented. However, timely fall detection can help prevent further complications such as blood loss and unconsciousness.
Sarah Khan +5 more
doaj +1 more source
Data-driven XGBoost-based filter for target tracking
In recent years, the data-driven approach has been introduced in the field of target tracking as a powerful tool developing the end-to-end mapping relationship between input features and outputs.
Bowen Zhai +4 more
doaj +1 more source
Bayesian angular super-resolution for sea-surface target in forward-looking scanning radar
As the traditional imaging dead zone, how to achieve high angular resolution in forward-looking region is always a big challenge in radar imaging field. In recent years, many approaches are proposed to solve this problem.
Changlin Li +4 more
doaj +1 more source
Fast Globally Optimal Catalog Matching using MIQCP
We propose a novel exact method to solve the probabilistic catalog matching problem faster than previously possible. Our new approach uses mixed integer programming and introduces quadratic constraints to shrink the problem by multiple orders of ...
Jacob Feitelberg +2 more
doaj +1 more source
Misjudgement probability estimation of product inspection based on uncertainty
The product inspection process with measurement uncertainty as a quality indicator is researched. Based on the product quality control information and the design and processing precision, the relationship between the misjudgement probability and ...
Huadong Fu +5 more
doaj +1 more source
The new generation Geometrical Product Specifications require consideration of the effects of measurement uncertainty in the product inspection. This study estimated the measurement results and the uncertainty by integrating the statistical production ...
Yinbao Cheng +5 more
doaj +1 more source
A variable structure multi‐model maneuvering target tracking algorithm based on Monte Carlo learning
A well‐liked maneuvering target tracking algorithm is a variable structure multi‐model (VSMM). One of the crucial elements determining the tracking effect is the successful model set adaptation (MSA).
Han Shen‐tu +4 more
doaj +1 more source
Enhanced off-grid DOA estimation by corrected power Bayesian inference using difference coarray
Sparse Bayesian inference for on-grid direction-of-arrival (DOA) estimation using difference coarray was investigated in the authors’ previous work to estimate more signal sources than the number of physical antenna elements. Sparse Bayesian inference is
Yanan Ma, Xianbin Cao, Xiangrong Wang
doaj +1 more source
Empirical Bayes method for Boltzmann machines
Abstract We consider an empirical Bayes method for Boltzmann machines and propose an algorithm for it. The empirical Bayes method allows for estimation of the values of the hyperparameters of the Boltzmann machine by maximizing a specific likelihood function referred to as the empirical Bayes likelihood function in this study.
Muneki Yasuda, Tomoyuki Obuchi
openaire +2 more sources
Estimating rate of occurrence of rare events with empirical Bayes : a railway application [PDF]
Classical approaches to estimating the rate of occurrence of events perform poorly when data are few. Maximum likelihood estimators result in overly optimistic point estimates of zero for situations where there have been no events.
Bedford, Tim +2 more
core +3 more sources

