Complex interval number‐based uncertainty modeling method with its application in decision fusion
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23070
Abstract: Complex evidence theory, a generalization of Dempster–Shafer evidence theory, is an effective uncertainty reasoning for decision fusion in complex‐valued domain. In particular, the generation of complex basic belief assignment (CBBA) is a key issue for… read more here.
Keywords: interval number; complex interval; uncertainty; uncertainty modeling ... See more keywords
Cloud Types Identification for Meteorological Satellite Image Using Multiple Sparse Representation Classifiers via Decision Fusion
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2890295
Abstract: Meteorological satellite can monitor the weather conditions in large scales effectively; some solutions and researches have been raised for cloud types identification in satellite cloud image analysis. Extracting the features of the satellite image and… read more here.
Keywords: satellite; fusion; decision fusion; image ... See more keywords
Decision Fusion for Stock Market Prediction: A Systematic Review
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3195942
Abstract: Stock market prediction based on machine or deep learning is an essential topic in the financial community. Typically, models with different structures or initializations provide different forecasts of the same response variable. In such cases,… read more here.
Keywords: market prediction; decision fusion; fusion; stock market ... See more keywords
Accelerated Particle Filter for Real-Time Visual Tracking With Decision Fusion
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2018.2843524
Abstract: Correlation-filter-based trackers, showing strong discrimination ability in challenging situations, have recently achieved superior performance in visual tracking. However, because the model treats the tracker's predictions in new frames as training data, the filter can be… read more here.
Keywords: real time; visual tracking; particle filter; filter ... See more keywords
Multi-Module Decision Fusion in Operational Status Monitoring
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2022.3145648
Abstract: Multimodule and multisensor data with different characteristics can reflect the overall operating status of the equipment from different angles. It is far from enough to monitor the operating status of equipment from a single perspective… read more here.
Keywords: conflict; decision fusion; evidence; status ... See more keywords
Decision Fusion With Multiple Spatial Supports by Conditional Random Fields
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2018.2797316
Abstract: Classification of remotely sensed images into land cover or land use is highly dependent on geographical information at least at two levels. First, land cover classes are observed in a spatially smooth domain separated by… read more here.
Keywords: conditional random; random fields; spatial supports; decision fusion ... See more keywords
Bayesian Fusion Model Enhanced Codfish Classification Using Near Infrared and Raman Spectrum
Sign Up to like & getrecommendations! Published in 2022 at "Foods"
DOI: 10.3390/foods11244100
Abstract: In this study, a Bayesian-based decision fusion technique was developed for the first time to quickly and non-destructively identify codfish using near infrared (NIRS) and Raman spectroscopy (RS). NIRS and RS spectra from 320 codfish… read more here.
Keywords: fusion; using near; classification; near infrared ... See more keywords