Deep learning–enhanced T1 mapping with spatial‐temporal and physical constraint
Sign Up to like & getrecommendations! Published in 2021 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.28793
Abstract: To propose a reconstruction framework to generate accurate T1 maps for a fast MR T1 mapping sequence. read more here.
Keywords: temporal physical; enhanced mapping; mapping spatial; deep learning ... See more keywords
Deep Learning Enhanced Dynamic Mode Decomposition
Sign Up to like & getrecommendations! Published in 2022 at "Chaos"
DOI: 10.1063/5.0073893
Abstract: Koopman operator theory shows how nonlinear dynamical systems can be represented as an infinite-dimensional, linear operator acting on a Hilbert space of observables of the system. However, determining the relevant modes and eigenvalues of this… read more here.
Keywords: enhanced dynamic; dynamic mode; deep learning; learning enhanced ... See more keywords
Reinforcement learning-enhanced protocols for coherent population-transfer in three-level quantum systems
Sign Up to like & getrecommendations! Published in 2021 at "New Journal of Physics"
DOI: 10.1088/1367-2630/ac2393
Abstract: We deploy a combination of reinforcement learning-based approaches and more traditional optimization techniques to identify optimal protocols for population transfer in a multi-level system. We constrain our strategy to the case of fixed coupling rates… read more here.
Keywords: level; reinforcement learning; population transfer; learning enhanced ... See more keywords
LAMANet: A Real-Time, Machine Learning-Enhanced Approximate Message Passing Detector for Massive MIMO
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2022.3225505
Abstract: Model-driven machine learning for signal detection in the physical layer of mobile communication systems combines well-known detector structures with learned parameters. Recent work has shown high detection performance in massive multiple-input–multiple-output (MIMO) detection; however, thorough… read more here.
Keywords: detection; machine learning; real time; learning enhanced ... See more keywords
Fully automated natural frequency identification based on deep-learning-enhanced computer vision and power spectral density transmissibility
Sign Up to like & getrecommendations! Published in 2022 at "Advances in Structural Engineering"
DOI: 10.1177/13694332221107572
Abstract: As image acquisition devices have outstanding potential for gathering vibration information, computer vision has received a lot of interest in structural health monitoring (SHM). In this work, a fully automated peak picking methodology based on… read more here.
Keywords: vibration; computer vision; deep learning; learning enhanced ... See more keywords
Deep learning enhanced principal component analysis for structural health monitoring
Sign Up to like & getrecommendations! Published in 2022 at "Structural Health Monitoring"
DOI: 10.1177/14759217211041684
Abstract: This paper proposes a Deep Learning Enhanced Principal Component Analysis (PCA) approach for outlier detection to assess the structural condition of bridges. We employ partially explainable autoencoder architecture to replicate and enhance the data compression… read more here.
Keywords: enhanced principal; structural health; learning enhanced; principal component ... See more keywords
Ensemble deep learning enhanced with self-attention for predicting immunotherapeutic responses to cancers
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Immunology"
DOI: 10.3389/fimmu.2022.1025330
Abstract: Introduction Despite the many benefits immunotherapy has brought to patients with different cancers, its clinical applications and improvements are still hindered by drug resistance. Fostering a reliable approach to identifying sufferers who are sensitive to… read more here.
Keywords: self attention; learning enhanced; ensemble deep; elise ... See more keywords
Direct Parameter Estimations from Machine Learning-Enhanced Quantum State Tomography
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14050874
Abstract: With the power to find the best fit to arbitrarily complicated symmetry, machine-learning (ML)-enhanced quantum state tomography (QST) has demonstrated its advantages in extracting complete information about the quantum states. Instead of using the reconstruction… read more here.
Keywords: state; quantum state; learning enhanced; enhanced quantum ... See more keywords