Data fusion information group (DFIG) model meets AI+ ML

E Blasch, N Sullivan, G Chen, Y Chen… - … Fusion, and Target …, 2022 - spiedigitallibrary.org
ABSTRACT The Data Fusion Information Group (DFIG) model is widely popular, extending
and replacing the joint director of the labs (JDL) model as a data fusion processing …

[HTML][HTML] Maximum Likelihood Evidential Reasoning

JB Yang, DL Xu - Artificial Intelligence, 2025 - Elsevier
In this paper, we aim at generalising the evidential reasoning (ER) rule to establish a new
maximum likelihood evidential reasoning (MAKER) framework for probabilistic inference …

Automedicación y Reacciones Adversas por Consumo de Antibióticos en Usuarios de la botica Milagro, Chiclayo-Lambayeque, 2023.

RJ Santisteban Santisteban, M Bocanegra Valdivia - 2023 - alicia.concytec.gob.pe
El objetivo de la siguiente investigación es determinar la relación que existe entre
automedicación y las reacciones adversas por consumo de antibióticos en usuarios de la …

Heart Disease Diagnoses: A Study Regarding Assigning Credibility to Evidence

L Ribeiro - Advances in Artificial Intelligence–IBERAMIA 2022 …, 2023 - books.google.com
One of the reasons for fatality due to heart disease is that the risks are not identified or are
only identified at a later stage. Dempster-Shafer theory approach considers the beliefs …

[PDF][PDF] CENTRO DE CIÊNCIAS EXATAS E TECNOLOGIA PROGRAMA DE PÓS-GRADUAÇÃO EM INFORMÁTICA

D FUSÃO - 2022 - cristinabicharra.uniriotec.br
RESUMO A fusão de informações multissensor traz desafios como heterogeneidade de
dados, precisão de fonte e a fusão de incertezas que impactam a qualidade dos …