Results 191 to 200 of about 80,323 (233)

Dynamic Mode Decomposition (DMD) for Low‐Latency Real‐Time Cardiac MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To demonstrate dynamic mode decomposition (DMD) for high spatiotemporal low‐latency online reconstruction in 2D real‐time cardiac MRI. Methods DMD was applied to 2D spiral balanced steady state free precession (bSSFP) real‐time adult and fetal cardiac MRI at 0.55 T, with data from 10 healthy adult volunteers (3F/7M; age: 21–49; BMI: 20–
Ecrin Yagiz   +5 more
wiley   +1 more source

Real‐Time, Inline Quantitative MRI Enabled by Scanner‐Integrated Machine Learning: A Proof of Principle With NODDI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose The clinical feasibility and translation of many advanced quantitative MRI (qMRI) techniques are inhibited by their restriction to ‘research mode’, due to resource‐intensive, offline parameter estimation. This work aimed to achieve ‘clinical mode’ qMRI, by real‐time, inline parameter estimation with a trained neural network (NN) fully ...
Samuel Rot   +13 more
wiley   +1 more source

A Novel Two‐Stage Flexible Flow Shop Batch Scheduling Model for Grinding Workshops

open access: yesNaval Research Logistics (NRL), EarlyView.
ABSTRACT The growing need for data storage in data centers has increased the demand for mechanical hard disks due to their low cost and high reliability. Aluminum substrates are the most popular base plates for mechanical hard disks because of their high hardness and low cost.
Jun Xu   +4 more
wiley   +1 more source

Reconsidering Volume‐Based Drug Procurement Policy: The Consequences of Manufacturers' Optimal Production Planning and Breach Strategies

open access: yesNaval Research Logistics (NRL), EarlyView.
ABSTRACT This paper examines the impacts of Volume‐Based Procurement (VBP) policies on pharmaceutical supply chains, with a focus on the strategic behaviors of manufacturers. VBP aims to reduce costs and stabilize supplies by centralizing procurement through competition based on volumes and prices.
Nani Zhou, Tong Wang, Guohua Wan
wiley   +1 more source

Shaping Decision Models for Stochastic Dynamic Optimization Problems via Reinforcement Learning

open access: yesNetworks, EarlyView.
ABSTRACT With rising customer expectations and increasing computational potential, many transport, manufacturing, and production operations face real‐time decision making in stochastic dynamic environments. Decision makers must find and adapt complex plans that are effective now but also flexible with respect to future developments.
Florentin D. Hildebrandt   +3 more
wiley   +1 more source

Online label aggregation with incomplete crowd responses. [PDF]

open access: yesJ King Saud Univ Comput Inf Sci
Liu Y   +8 more
europepmc   +1 more source

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