Erratum to: Knowledge‐driven deep learning for fast MR imaging: Undersampled MR image reconstruction from supervised to un‐supervised learning (Magn Reson Med. 2024;92:496‐518)
Sign Up to like & getrecommendations! Published in 2024 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.30204
Abstract: Due to a misunderstanding of a vendor approach to their reconstruction algorithm read more here.
Keywords: deep learning; learning fast; reconstruction; driven deep ... See more keywords
KTMN: Knowledge-driven Two-stage Modulation Network for visual question answering
Sign Up to like & getrecommendations! Published in 2024 at "Multimedia Systems"
DOI: 10.1007/s00530-024-01568-6
Abstract: Existing visual question answering (VQA) methods introduce the Transformer as the backbone architecture for intra- and inter-modal interactions, demonstrating its effectiveness in dependency relationship modeling and information alignment. However, the Transformer’s inherent attention mechanisms tend… read more here.
Keywords: information; image; stage; knowledge driven ... See more keywords
Knowledge-driven framework for industrial robotic systems
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-021-01826-8
Abstract: Due to their advantages, there is an increase of applying robotic systems for small batch production as well as for complex manufacturing processes. However, programming and configuring robots is time and resource consuming while being… read more here.
Keywords: robotic systems; production; driven framework; robotics ... See more keywords
A knowledge-driven method of adaptively optimizing process parameters for energy efficient turning
Sign Up to like & getrecommendations! Published in 2019 at "Energy"
DOI: 10.1016/j.energy.2018.09.191
Abstract: Abstract Selection of optimum process parameters is often regarded as an effective strategy for improving energy efficiency during computer numerical control (CNC) turning. Previous optimization methods are typically developed for specific machining configurations. To generalize… read more here.
Keywords: optimization; driven method; process parameters; energy ... See more keywords
A knowledge-driven protocol for prediction of proteins of interest with an emphasis on biosynthetic pathways
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DOI: 10.1016/j.mex.2020.101053
Abstract: This protocol describes a stepwise process to identify proteins of interest from a query proteome derived from NGS data. We implemented this protocol on Moringa oleifera transcriptome to identify proteins involved in secondary metabolite and… read more here.
Keywords: knowledge driven; proteins interest; driven protocol; protocol prediction ... See more keywords
Cohort Network: A Knowledge Graph toward Data Dissemination and Knowledge-Driven Discovery for Cohort Studies.
Sign Up to like & getrecommendations! Published in 2023 at "Environmental science & technology"
DOI: 10.1021/acs.est.2c08174
Abstract: Contemporary environmental health sciences draw on large-scale longitudinal studies to understand the impact of environmental exposures and behavior factors on the risk of disease and identify potential underlying mechanisms. In such studies, cohorts of individuals… read more here.
Keywords: cohort network; knowledge driven; dissemination; cohort ... See more keywords
A Knowledge Driven Dialogue Model With Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2993924
Abstract: In recent decades, many researchers pay a lot of attention on generating informative responses in end-to-end neural dialogue systems. In order to output the responses with knowledge and fact, many works leverage external knowledge to… read more here.
Keywords: reinforcement learning; response generation; model; knowledge driven ... See more keywords
Enhancing Performance and Quality of Transmission Through Knowledge-Driven Machine Learning-Based FWM Mitigation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3510696
Abstract: This article proposes a knowledge-driven four-wave mixing (FWM) mitigation using supervised learning approaches and a multilevel regression-based dense wavelength division multiplexing (SMR-DWDM) system design. The evolution of 5G and the Internet of Things (IoT) results… read more here.
Keywords: transmission; system; machine learning; dwdm ... See more keywords
Knowledge-Driven Machine Learning and Applications in Wireless Communications
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DOI: 10.1109/tccn.2021.3128597
Abstract: The power of big data and machine learning has been drastically demonstrated in many fields during the past twenty years which somehow leads to the vague even false understanding that the huge amount of precious… read more here.
Keywords: machine; machine learning; knowledge driven; driven machine ... See more keywords
Geographical Knowledge-Driven Representation Learning for Remote Sensing Images
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DOI: 10.1109/tgrs.2021.3115569
Abstract: The proliferation of remote sensing satellites has resulted in a massive amount of remote sensing images. However, due to human and material resource constraints, the vast majority of remote sensing images remain unlabeled. As a… read more here.
Keywords: geographical knowledge; representation; remote sensing; knowledge driven ... See more keywords
LDA-Reg: Knowledge Driven Regularization Using External Corpora
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3069861
Abstract: While recent developments of neural network (NN) models have led to a series of record-breaking achievements in many applications, the lack of sufficiently good datasets remains a problem for some applications. For such a problem,… read more here.
Keywords: knowledge driven; regularization; driven regularization; knowledge ... See more keywords