Weighted model‐based optoacoustic reconstruction for partial‐view geometries
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biophotonics"
DOI: 10.1002/jbio.202100334
Abstract: Acoustic heterogeneities in biological samples are known to cause artifacts in tomographic optoacoustic (photoacoustic) image reconstruction. A statistical weighted model‐based reconstruction approach was previously introduced to mitigate such artifacts. However, this approach does not reliably… read more here.
Keywords: view; geometry; weighted model; model based ... See more keywords
A Multiclassification Model of Sentiment for E-Commerce Reviews
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DOI: 10.1109/access.2020.3031588
Abstract: Consumer reviews are important information that reflects the quality of E-commerce goods and services and their existing problems after shopping. Due to the possible differences in consumers’ experiences with goods and service quality, consumer reviews… read more here.
Keywords: directed weighted; weighted model; multiclassification model; sentiment ... See more keywords
Development of Frequency Weighted Model Order Reduction Techniques for Discrete-Time One-Dimensional and Two-Dimensional Linear Systems with Error Bounds
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DOI: 10.1109/access.2022.3146394
Abstract: Enns’ frequency weighted model reduction method yields an unstable reduced model. Many stability-preserving techniques for one-dimensional and two-dimensional reduced-order systems have been demonstrated; however, these methods produce significant truncation errors. This article presents a frequency… read more here.
Keywords: frequency; stability preserving; weighted model; order ... See more keywords
DWFed: A statistical- heterogeneity-based dynamic weighted model aggregation algorithm for federated learning
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.1041553
Abstract: Federated Learning is a distributed machine learning framework that aims to train a global shared model while keeping their data locally, and previous researches have empirically proven the ideal performance of federated learning methods. However,… read more here.
Keywords: dynamic weighted; federated learning; statistical heterogeneity; model ... See more keywords