Data‐driven optimization of sampling patterns for MR brain T1ρ mapping
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29445
Abstract: The goal of this study was to apply a fast data‐driven optimization algorithm, called bias‐accelerated subset selection, for MR brain T1ρ mapping to generate optimized sampling patterns (SPs) for compressed sensing reconstruction of brain 3D‐T1ρ… read more here.
Keywords: brain mapping; driven optimization; sampling patterns; brain ... See more keywords
Nurse Practitioner–Driven Optimization of Presurgical Testing
Sign Up to like & getrecommendations! Published in 2018 at "Journal of PeriAnesthesia Nursing"
DOI: 10.1016/j.jopan.2017.08.004
Abstract: &NA; Nurse practitioners play a pivotal role as members of the perioperative team. This article outlines the evolution of presurgical testing from the vantage of generic testing to one that is tailored to the patient's… read more here.
Keywords: nurse practitioner; driven optimization; optimization presurgical; presurgical testing ... See more keywords
Pharmacokinetics-Driven Optimization of 4(3 H)-Pyrimidinones as Phosphodiesterase Type 5 Inhibitors Leading to TPN171, a Clinical Candidate for the Treatment of Pulmonary Arterial Hypertension.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of medicinal chemistry"
DOI: 10.1021/acs.jmedchem.9b00123
Abstract: Phosphodiesterase type 5 (PDE5) inhibitors are first-line therapy for pulmonary arterial hypertension (PAH) and erectile dysfunction. As a continuing work to improve the terminal half-lives and oral bioavailabilities of our previously reported 4(3 H)-pyrimidones, a… read more here.
Keywords: phosphodiesterase type; driven optimization; pharmacokinetics driven; arterial hypertension ... See more keywords
An observation-driven optimization method for continuous estimation of soil moisture over large heterogeneous areas
Sign Up to like & getrecommendations! Published in 2020 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2020.1731620
Abstract: ABSTRACT In most remote sensing-based soil moisture (SM) retrieval methods, in-situ SM measurements are commonly used for validation purposes. Few studies have investigated whether such measurements can be used for calibration. In this paper, an… read more here.
Keywords: optimization method; observation driven; method; driven optimization ... See more keywords
Threshold-driven optimization for reference-based auto-planning.
Sign Up to like & getrecommendations! Published in 2018 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/aaa731
Abstract: We study threshold-driven optimization methodology for automatically generating a treatment plan that is motivated by a reference DVH for IMRT treatment planning. We present a framework for threshold-driven optimization for reference-based auto-planning (TORA). Commonly used… read more here.
Keywords: auto planning; methodology; driven optimization; reference ... See more keywords
Edge-Cloud Co-Evolutionary Algorithms for Distributed Data-Driven Optimization Problems.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3219452
Abstract: Surrogate-assisted evolutionary algorithms (EAs) have been proposed in recent years to solve data-driven optimization problems. Most existing surrogate-assisted EAs are for centralized optimization and do not take into account the challenges brought by the distribution… read more here.
Keywords: driven optimization; optimization; data driven; optimization problems ... See more keywords
Data-Driven Optimization of Integrated Control Framework for Flexible Motion Control System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3100872
Abstract: This article proposes a new data-driven optimization of integrated control for flexible systems to achieve high-performance automatic control. The integrated control that is composed of feedback control, feedforward control, and disturbance observer is adopted in… read more here.
Keywords: system; driven optimization; control; data driven ... See more keywords
Data-Driven Optimization for Dynamic Shortest Path Problem Considering Traffic Safety
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3165757
Abstract: Traffic congestion is an inescapable problem that frustrates drivers in megacities. Although there is hardly a way to eliminate the congestion, it is possible to mitigate the impact through predictive methods. This paper develops a… read more here.
Keywords: problem; driven optimization; dynamic shortest; traffic ... See more keywords
A Wind Driven Optimization-Based Methodology for Robust Optimizations of Electromagnetic Devices under Interval Uncertainty
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Magnetics"
DOI: 10.1109/tmag.2017.2664073
Abstract: A methodology based on a new uncertainty quantization formulation and an improved wind driven optimization (WDO) algorithm is proposed for robust optimizations of electromagnetic devices under interval uncertainties. In the proposed methodology, the robust performances… read more here.
Keywords: methodology; driven optimization; electromagnetic devices; robust optimizations ... See more keywords
Artificial Intelligence and Its Application in Optimization under Uncertainty
Sign Up to like & getrecommendations! Published in 2021 at "Artificial Intelligence"
DOI: 10.5772/intechopen.98628
Abstract: Nowadays, the increase in data acquisition and availability and complexity around optimization make it imperative to jointly use artificial intelligence (AI) and optimization for devising data-driven and intelligent decision support systems (DSS). A DSS can… read more here.
Keywords: decision; driven optimization; data driven; optimization ... See more keywords