Results 241 to 250 of about 4,799,990 (289)
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Sampling times in micronucleus testing

Mutation Research Letters, 1992
A series of micronucleus inducers were evaluated in the mouse bone marrow micronucleus test to determine if a 72-h sampling time enhances the sensitivity for detecting genotoxic agents. Male and female Swiss albino mice were dosed once with 7,12- dimethylbenz[a]anthracene, 6-mercaptopurine, benzo[a]pyrene, benzene, cyclophosphamide, 2 ...
P, Vanparys   +4 more
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$k$ -Times Markov Sampling for SVMC

IEEE Transactions on Neural Networks and Learning Systems, 2018
Support vector machine (SVM) is one of the most widely used learning algorithms for classification problems. Although SVM has good performance in practical applications, it has high algorithmic complexity as the size of training samples is large. In this paper, we introduce SVM classification (SVMC) algorithm based on -times Markov sampling and present
Bin Zou 0002   +5 more
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On the problem of time jitter in sampling

IEEE Transactions on Information Theory, 1962
Bei der in letzter Zeit immer häufiger angewendeten Tastung von Signalen in der Nachrichten- und Regelungstechnik treten im allgemeinen zwei Grundtypen von Fehlern auf, nämlich Amplitudenfehler und solche, die durch unregelmäßige Schwankungen der Abtastintervalle bedingt sind.
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On Sampled Semantics of Timed Systems

2005
Timed systems can be considered with two types of semantics – dense time semantics and discrete time semantics. The most typical examples of both of them are real semantics and sampled semantics (i.e., discrete semantics with a fixed time step e).
Pavel Krcál, Radek Pelánek
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A general theory of time-sequential sampling

Signal Processing, 1992
In this paper, we consider the problem of optimum sampling of spatiotemporal signals. Recently, there has been increasing interest in this topic partly due to the advent of next generation television systems, and partly due to the growing need for sophisticated real time vision modules used in a variety of motion estimation and tracking tasks.
M. Armon Rahgozar, Jan P. Allebach
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Random Time Sampling

Australian Geographical Studies, 1995
Random Time Sampling is an innovative data collection method which has potential for adaptation and use by geographers. Individual pocket‐sized programmable beepers were used in a pilot study of the uses of time by older households and older people's attitudes to different activities.
S. DONATH, D.S. IRONMONGER, C.K. AITKEN
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Sampling through time

2019
AbstractMany ecological research and resource monitoring programs must deliver good estimates of both current resource status and long-term trend. The simple two-occasion context frames the trade-offs in design of surveys to achieve these objectives. If the objective is to estimate change in status (trend), then most precise estimation is achieved by ...
David G. Hankin   +2 more
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Sampling Time Uncertainty

2000
Random and signal dependent sampling time uncertainty in high-speed switched-current circuits are analyzed in this chapter, and a comparison with voltage-mode sampling is made. The similarity of the two techniques is shown as well as the fact that the usually lower voltage swing in switched-current circuits, makes them less sensitive to the signal ...
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Time samples

Women & Performance: a journal of feminist theory, 2009
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Sampling in Space and Time

Revue de l'Institut International de Statistique / Review of the International Statistical Institute, 1964
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