LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "learning enhanced" as a keyword



Photo by sarahsosiak from unsplash

Deep learning–enhanced T1 mapping with spatial‐temporal and physical constraint

Sign Up to like & get
recommendations! 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

Machine learning‐enhanced noninvasive prenatal testing of monogenic disorders

Sign Up to like & get
recommendations! Published in 2024 at "Prenatal Diagnosis"

DOI: 10.1002/pd.6570

Abstract: Single‐nucleotide variants (SNVs) are of great significance in prenatal diagnosis as they are the leading cause of inherited single‐gene disorders (SGDs). Identifying SNVs in a non‐invasive prenatal screening (NIPS) scenario is particularly challenging for maternally… read more here.

Keywords: enhanced noninvasive; machine learning; learning enhanced; noninvasive prenatal ... See more keywords

Deep Learning-Enhanced Dual-Component Gas Sensor Based on Wavelength Modulation Spectroscopy.

Sign Up to like & get
recommendations! Published in 2025 at "Analytical chemistry"

DOI: 10.1021/acs.analchem.5c03438

Abstract: Considering the challenge of qualitative and quantitative detection for gas mixtures caused by spectral overlap, a deep learning-enhanced dual-component gas sensor based on wavelength modulation spectroscopy (WMS) with the 2f/1f signals is proposed, achieving simultaneous… read more here.

Keywords: deep learning; spectroscopy; sensor; component ... See more keywords

Deep Learning Enhanced Dynamic Mode Decomposition

Sign Up to like & get
recommendations! 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

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimization subject to structural constraints

Sign Up to like & get
recommendations! Published in 2025 at "Physics of Fluids"

DOI: 10.1063/5.0274045

Abstract: The main objective of this paper is to introduce a transfer learning-enhanced deep reinforcement learning (DRL) methodology that is able to optimize the geometry of any airfoil based on concomitant aerodynamic and structural integrity criteria.… read more here.

Keywords: transfer learning; airfoil; learning enhanced; deep reinforcement ... See more keywords

Meta-learning enhanced classification of complex defects in pressure vessels

Sign Up to like & get
recommendations! Published in 2025 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ae09ce

Abstract: Weld defects in pressure vessels, prone to development under long-term operation under complex and harsh environments with alternating loads and corrosion, pose critical safety risks. Current defect classification primarily relies on manual interpretation of sensor… read more here.

Keywords: classification; defects pressure; pressure vessels; learning enhanced ... See more keywords
Photo from wikipedia

Reinforcement learning-enhanced protocols for coherent population-transfer in three-level quantum systems

Sign Up to like & get
recommendations! 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

Deep-Learning-Enhanced Visible Light Positioning System Based on the LED Array

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2024.3377506

Abstract: The escalating demand for indoor location-based services has propelled advancements in indoor positioning technologies in which visible light positioning (VLP) standing out for its accuracy and eco-friendliness. Current VLP systems are typically categorized into multianchor-based… read more here.

Keywords: deep learning; light positioning; visible light; array ... See more keywords

Reinforcement Learning-Enhanced Motion Control for Distributed-Drive Intelligent Vehicles With Performance Variation of Driving Units

Sign Up to like & get
recommendations! Published in 2025 at "IEEE/ASME Transactions on Mechatronics"

DOI: 10.1109/tmech.2025.3567494

Abstract: This article investigates the reinforcement learning (RL)-enhanced motion control problem for distributed-drive intelligent vehicles facing performance variations in their driving units. To tackle this challenge, we first analyze the sources of performance variations in driving… read more here.

Keywords: driving units; control; enhanced motion; performance ... See more keywords

Reinforcement Learning Enhanced LQR and Control Lyapunov Functions for Spacecraft Proximity Operations

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Transactions on Robotics"

DOI: 10.1109/tro.2025.3600160

Abstract: Spacecraft autonomy is a major barrier to increasing the scope, ambition, and affordability of both Earth-based and deep-space missions. Reinforcement learning (RL) offers huge potential in solving this problem, however, their adoption is hampered by… read more here.

Keywords: control; control lyapunov; learning enhanced; enhanced lqr ... See more keywords

LAMANet: A Real-Time, Machine Learning-Enhanced Approximate Message Passing Detector for Massive MIMO

Sign Up to like & get
recommendations! 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