Results 71 to 80 of about 1,080 (95)

Application of fuzzy set and Dempster-Shafer theory to organic geochemistry interpretation [PDF]

An application of fuzzy sets and Dempster Shafter Theory (DST) in modeling the interpretational process of organic geochemistry data for predicting the level of maturities of oil and source rock samples is presented.
Isaksen, G. H., Kim, C. S.
core   +1 more source

Enhancing Surgical Skill Assessment Through Soft and Hard Data Fusion Using Dempster–Shafer Theory and Large Language Models

IEEE Access
This paper presents a novel approach to surgical skill assessment which combines sensory measurements (hard data) with expert’s opinion (soft data), providing a more nuanced and factual representation of motor skill.
Arash Iranfar, Elahe Radmanesh, Behzad Moshiri, Mohammad Reza Nayeri, Hamid D. Taghirad   +4 more
doaj   +1 more source

A DETR-Based Evidential RGB-NIR Data Fusion Framework for Fire and Smoke Detection

IEEE Access
Timely and reliable detection of fire and smoke is critical, where even a single misjudgment can lead to major safety risks. While near-infrared (NIR) imagery can complement RGB data by capturing thermal signatures invisible to standard cameras, NIR data
Dongxing Yu, Bing Han, Xiaorui Guo, Wei Ding, Weikai Ren, Yuanlei Hou   +5 more
doaj   +1 more source

Developing an Integrated Framework to Reduce Uncertainty in Process Risk Assessment Based on Dempster-Shafer Evidence Theory and Bayesian Network: A Case Study in Oil Reservoirs Using Multiple Sources of Evidence [PDF]

بهداشت و ایمنی کار
Introduction: Fire risk assessment in oil storage tanks faces challenges due to incomplete, conflicting, and uncertain data, particularly when empirical evidence is limited.
Kazem Samimi, Esmaeil Zareie, Mohsen Omidavar, Javad Ghyasi, Parham Azimi, Mostafa Pouyakian   +5 more
doaj  

An Application of Mathematical Theory of Evidence in Navigation [PDF]

TransNav, 2009
Plenty of various quality data are available to the officer of watch. The data of various qualities comes from different navigational aids. This kind of data creates new challenge regarding information association.
Wlodzimierz Filipowicz
doaj  

EEG–fNIRS signal integration for motor imagery classification using deep learning and evidence theory

Neuroscience Informatics
To address the limitations of traditional unimodal brain-computer interface BCI) technologies based on electroencephalography (EEG) such as low spatial resolution and high susceptibility to noise an increasing number of neuroscience-driven studies have ...
Mohammed E. Seno, Niladri Maiti, Maulik Patel, Mihirkumar M. Patel, Kalpesh B. Chaudhary, Ashish Pasaya, Babacar Toure   +6 more
doaj   +1 more source

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A new belief divergence measure for Dempster–Shafer theory based on belief and plausibility function and its application in multi-source data fusion

Engineering Applications of Artificial Intelligence, 2021
Hongfei Wang, Xinyang Deng, Wen Jiang
exaly  

CNN-DST: Ensemble deep learning based on Dempster–Shafer theory for vibration-based fault recognition

Structural Health Monitoring, 2022
Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem   +2 more
exaly  

Failure mode effect and criticality analysis using dempster shafer theory and its comparison with fuzzy failure mode effect and criticality analysis: A case study applied to LNG storage facility

Chemical Engineering Research and Design, 2020
V R Renjith
exaly  

Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory

Journal of Hydrology, 2020
Thimmaiah Gudiyangada Nachappa, Sepideh Tavakkoli Piralilou, Khalil Gholamnia   +2 more
exaly