Results 21 to 30 of about 2,441,680 (241)

Fusion and Analysis of Land Use/Cover Datasets Based on Bayesian-Fuzzy Probability Prediction: A Case Study of the Indochina Peninsula

Remote Sensing, 2022
Land use/cover (LUC) datasets are the basis of global change studies and cross-scale land planning. Data fusion is an important direction for correcting errors and improving the reliability of multisource LUC datasets.
Hao Wang, Yunfeng Hu, Zhiming Feng
doaj   +1 more source

An Impact Location Algorithm for Spacecraft Stiffened Structure Based on Posterior Possibility Correlation

Sensors, 2020
In order to ensure the safety of spacecrafts in orbit, impact location is an important part of structural health monitoring systems. In this paper, an impact location algorithm based on posterior probability correlation is proposed to solve the problem ...
Lei Qi, Zhoumo Zeng, Lichen Sun, Xiaobo Rui, Fan Fan, Guixuan Yue, Yueyang Zhao, Hao Feng   +7 more
doaj   +1 more source

Extracorporeal Membrane Oxygenation for Severe Acute Respiratory Distress Syndrome and Posterior Probability of Mortality Benefit in a Post Hoc Bayesian Analysis of a Randomized Clinical Trial

Journal of the American Medical Association (JAMA), 2018
Importance Bayesian analysis of clinical trial data may provide useful information to aid in study interpretation, especially when trial evidence suggests that the benefits of an intervention are uncertain, such as in a trial that evaluated early ...
E. Goligher, G. Tomlinson, D. Hajage, D. Wijeysundera, E. Fan, P. Jüni, D. Brodie, Arthur S Slutsky, A. Combes   +8 more
semanticscholar   +1 more source

The interpretation of the reasons for encounter ‘cough’ and ‘sadness’ in four international family medicine populations

Journal of Innovation in Health Informatics, 2013
Background This is a study of the relationships between common reasons for encounter and common diagnoses (episode titles) within episodes of care in family practice populations in four countries.Method Participating family doctors recorded details of ...
Jean K Soler, Inge Okkes, Sibo Oskam, Kes van Boven, Predrag Zivotic, Milan Jevtic, Frank Dobbs, Henk Lamberts   +7 more
doaj   +1 more source

Group Testing-Based Robust Algorithm for Diagnosis of COVID-19

Diagnostics, 2020
At the time of writing, the COVID-19 infection is spreading rapidly. Currently, there is no vaccine or treatment, and researchers around the world are attempting to fight the infection. In this paper, we consider a diagnosis method for COVID-19, which is
Jin-Taek Seong
doaj   +1 more source

A Bayesian Inference Based Computational Tool for Parametric and Nonparametric Medical Diagnosis

Diagnostics, 2023
Medical diagnosis is the basis for treatment and management decisions in healthcare. Conventional methods for medical diagnosis commonly use established clinical criteria and fixed numerical thresholds. The limitations of such an approach may result in a
Theodora Chatzimichail, Aristides T. Hatjimihail   +1 more
doaj   +1 more source

Classification of Hyperspectral Images Using Kernel Fully Constrained Least Squares

ISPRS International Journal of Geo-Information, 2017
As a widely used classifier, sparse representation classification (SRC) has shown its good performance for hyperspectral image classification. Recent works have highlighted that it is the collaborative representation mechanism under SRC that makes SRC a ...
Jianjun Liu, Zebin Wu, Zhiyong Xiao, Jinlong Yang   +3 more
doaj   +1 more source

On the Probabilty Concept

Statistica, 2016
As it has been already done for the Corrado Gini's works, STATISTICA has accepted the invitation of some researchers who asked to republish the English translation of some fundamental De Finetti's papers.
Bruno De Finetti
doaj   +1 more source

Posterior Probability Modeling and Image Classification for Archaeological Site Prospection: Building a Survey Efficacy Model for Identifying Neolithic Felsite Workshops in the Shetland Islands

Remote Sensing, 2016
The application of custom classification techniques and posterior probability modeling (PPM) using Worldview-2 multispectral imagery to archaeological field survey is presented in this paper. Research is focused on the identification of Neolithic felsite
William P. Megarry, G. Cooney, D. Comer, C. Priebe   +3 more
semanticscholar   +1 more source

Social‐spider optimised particle filtering for tracking of targets with discontinuous measurement data

IET Computer Vision, 2017
The particle filter (PF), a non‐parametric implementation of the Bayes filter, is commonly used to estimate the state of a dynamic non‐linear non‐Gaussian system.
Kaveh Ahmadi, Ezzatollah Salari
doaj   +1 more source