Results 1 to 10 of about 222,303 (176)

Empirical Bayes Based on Squared Error Loss and Precautionary Loss Functions in Sequential Sampling Plan

IEEE Access, 2020
An acceptance sampling plans are statistical tools in quality control which often used for lot inspection in several areas such as industry, engineering and business.
Katechan Jampachaisri, Khanittha Tinochai, Saowanit Sukparungsee, Yupaporn Areepong   +3 more
doaj   +3 more sources

Towards AI-based precision rehabilitation via contextual model-based reinforcement learning [PDF]

Journal of NeuroEngineering and Rehabilitation
Background Stroke is a condition marked by considerable variability in lesions, recovery trajectories, and responses to therapy. Consequently, precision medicine in rehabilitation post-stroke, which aims to deliver the “right intervention, at the right ...
Dongze Ye, Haipeng Luo, Carolee Winstein, Nicolas Schweighofer   +3 more
doaj   +2 more sources

315 When clinical decision support falls short: Lessons from piloting a patient-centered prescribing tool for post-operative opioids at discharge [PDF]

Journal of Clinical and Translational Science
Objectives/Goals: A clinical decision support tool (CDS) with an individualized prescribing approach was piloted to determine impact on opioid overprescribing rates for surgical patients at discharge.
Shraddha Pandey, Samuel O’Brien, Colleen P. Flanagan, Tasce Bongiovanni, Hannah Decker, Jory Purvis Zhonghui Guan, Elizabeth Wick   +6 more
doaj   +2 more sources

Sequential sampling plan for Ceratitis capitata (Diptera: Tephritidae) in guava orchards

Anais da Academia Brasileira de Ciências, 2022
This study aimed to elaborate a sequential sampling plan for C. capitata in commercial orchards of guava. 90 McPhail traps were randomly installed in three guava orchards in a transverse direction for 23 weeks.
JOSÉ NICÁCIO, ALFREDO R. ABOT, MARIANA P. OLIVEIRA, JAINE L. SILVA, FLAVIO R.M. GARCIA   +4 more
doaj   +1 more source

Deep Sequential Models for Sampling-Based Planning [PDF]

2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
We demonstrate how a sequence model and a sampling-based planner can influence each other to produce efficient plans and how such a model can automatically learn to take advantage of observations of the environment. Sampling-based planners such as RRT generally know nothing of their environments even if they have traversed similar spaces many times.
Yen-Ling Kuo, Andrei Barbu, Boris Katz
openaire   +2 more sources

Completeness for sequential sampling plans [PDF]

Sequential Analysis, 1993
In the sequential multinomial sampling case,a sufficient condition for a non-randomized sequential procedure to be complete is given,and also a necessary and sufficient condition for a randomized sequential procedure to be complete is obtained.
Ken-ichi Koike, Masafumi Akahira
openaire   +1 more source

Sequential and Binomial Sampling Plans to Estimate Thrips tabaci Population Density on Onion

Insects, 2021
Thrips tabaci Lindeman is a worldwide onion pest that causes economic losses of 10–60%, depending on many factors. Population sampling is essential for applying control tactics and preventing damage by the insect.
Lauro Soto-Rojas, Esteban Rodríguez-Leyva, Néstor Bautista-Martínez, Isabel Ruíz-Galván, Daniel García-Palacios   +4 more
doaj   +1 more source

An optimal maintenance policy for machine replacement problem using dynamic programming [PDF]

Management Science Letters, 2017
In this article, we present an acceptance sampling plan for machine replacement problem based on the backward dynamic programming model. Discount dynamic programming is used to solve a two-state machine replacement problem.
Mohsen Sadegh Amalnik , Morteza Pourgharibshahi   +1 more
doaj   +1 more source

Determining of an Optimal Maintenance Policy for Three State Machine Replacement Problem Using Dynamic Programming [PDF]

International Journal of Supply and Operations Management, 2017
In this article, we present a sequential sampling plan for a three-state machine replacement problem using dynamic programming model. We consider an application of the Bayesian Inferences in a machine replacement problem.
Mohammad Saber Fallahnezhad, Morteza Pourgharibshahi   +1 more
doaj   +1 more source

A SEQUENTIAL SAMPLING PLAN FOR A LOT WITH CLASSIFIED DEFECTIVES [PDF]

Bulletin of informatics and cybernetics, 1987
An item can be classified either as effective or as defective according to one of k defect categories. Let \(p_ i\) be the probability that an item belongs to category i. Then the null hypothesis \(p_ i\leq p_{0i}\) for \(i=1,...,k\) is tested against the alternative hypothesis \(p_ i\geq p_{1i}\) for \(i=1,...,k ...
Yabuuchi, Hidekazu, Sato, Masako
openaire   +2 more sources