نتایج جستجو برای: continuous review

تعداد نتایج: 1196706  

Journal: :Mathematics 2022

For years, extensive research has been in the binarization of continuous metaheuristics for solving binary-domain combinatorial problems. This paper is a continuation previous review and seeks to draw comprehensive picture various ways binarize this type metaheuristics; study uses standard systematic consisting analysis 512 publications from 2017 January 2022 (5 years). The work will provide th...

Journal: :anesthesiology and pain medicine 0
jonathan t. unkart department of surgery, university of california, san diego, usa; department of surgery, 200 west arbor drive, mc 0739, san diego, california, usa. tel: +1-4157069274, fax: +1-8588226194 jennifer a. padwal school of medicine, university of california, san diego, usa brian m. ilfeld department of anesthesiology, university of california, california, usa anne m. wallace department of surgery, university of california, san diego, usa

conclusions patients receiving a cpvb in addition to tpvb after ldf reconstruction experienced similar pain to those receiving tpvb alone. a larger, randomized clinical trial is warranted to fully determine the benefits of using cpvb in addition to tpvb for this procedure. results a total of 22 patients were included in this study (11-cpvb and 11-tpvb). the mean nrs pain score of cpvb patients ...

Journal: :IOP Conference Series: Materials Science and Engineering 2018

Journal: :Current Directions in Biomedical Engineering 2022

Abstract Stationary devices for continuous blood pressure (BP) with user-friendly finger sensors are getting common in various clinical fields and new wearable BP-monitors about to enter the medical world. Apart from commonly used parameters systolic diastolic BP, beat-to-beat as well pulse shape information of these is not easily accessible. This article a review existing pattern recognition a...

1999
Javier R. Movellan Paul Mineiro

In this paper we present an alternative to hidden Markov models for the recognition of image sequences. The approach is based on a stochastic version of recurrent neural networks, which we call diffusion networks. Contrary to hidden Markov models, diffusion networks operate with continuous state dynamics, and generate continuous paths. This aspect that may be beneficial in computer vision tasks...

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