Results 261 to 270 of about 103,535 (312)
ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner +7 more
wiley +1 more source
Mathematical Analysis for a Class of Stochastic Copolymerization Processes. [PDF]
Anderson DF, Ma J, Gagrani P.
europepmc +1 more source
Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping
ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu +9 more
wiley +1 more source
Probabilistic modeling of the semantic fluency task with extended Markov networks. [PDF]
López M +2 more
europepmc +1 more source
A Novel Two‐Stage Flexible Flow Shop Batch Scheduling Model for Grinding Workshops
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
Edge based distributed framework for real time hazard detection and road safety in smart transportation. [PDF]
Sahu D +8 more
europepmc +1 more source
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
Measuring hierarchical structure across hominid percussive tool-use sequences. [PDF]
Taylor D +3 more
europepmc +1 more source
Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch
ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley +1 more source
Double event-triggered fault tolerant consensus of nonlinear heterogeneous multiagent systems under inconsistent Markov. [PDF]
Hu D, Ma J, Zang S.
europepmc +1 more source

