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 +4 more
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Spatial distribution and fixed-precision sequential sampling plans for Popillia japonica (Coleoptera: Scarabaeidae) adults in primocane raspberry: influence of foliar insecticides [PDF]
Frontiers in Insect ScienceThe Japanese beetle, Popillia japonica Newman (Coleoptera: Scarabaeidae), an invasive species from northern Japan, was first detected in Minnesota in 1968.
Adam G. Toninato +2 more
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Towards AI-based precision rehabilitation via contextual model-based reinforcement learning [PDF]
Journal of NeuroEngineering and RehabilitationBackground 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 +3 more
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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
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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 +4 more
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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.
Kuo, Yen-Ling +2 more
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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 +1 more
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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 +1 more
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Agronomy, 2021 Vector control in huanglongbing management has been conducted on a calendar basis resulting in high production costs. We addressed this issue and proposed a sequential sampling plan to support decision making for intervention against Diaphorina citri ...
Gabriel Díaz-Padilla +3 more
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Bibliography of Sequential Sampling Plans in Insect Pest Management Based on Wald\u27s Sequential Probability Ratio Test [PDF]
, 2017 This paper contains 65 references dealing with the development of sequential sampling plans in insect pest management based on Wald\u27s Sequential Probability Ratio Test (SPRT), 25 in forest entomology and 40 in agriculture entomology.
Fowler, Gary W, Lynch, Ann M
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