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For each task, they will be asked the confidence with which they believe they can perform these tasks for three time durations: 10, 20, and 30 minutes.
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To assess individual reporting differences, we determined individual P s values for each participant and also for each of the four time duration categories.
Surface roughness and hardness values are higher for heat treated conditions compared to the as-received conditions in three different time durations.
In the present study, an attempt has been made to investigate the role of pretreatment on initial surface condition on duplex treated surface properties after PN in three different time durations 6, 12, and 24 h, followed by PVD coating on as-received and heat treated AISI H13 tool steel.
Moreover, in order to automatically build the classification model for prediction, we take two snapshots of the concept networks corresponding to two consecutive time durations, such that a training data set can be formed based on a group of labeled concept pairs that are automatically extracted from the snapshots.
More specifically, we take two snapshots, namely G t f and G t s, of the concept networks corresponding to two consecutive time durations t f and t s.
Channel zapping time consists of four major time durations as shown in Figure 1: 1 Command processing time 2 Network delay time 3 Decoding time 4 Media buffering time Figure 1 Channel zapping time.
All measurements have been made in four various time durations: first, before irradiation of plasma jet; second, 1 min after irradiation of the plasma jet; third, 5 min after irradiation of the plasma jet; and finally, 10 min after irradiation of the plasma jet. Figure 2 shows the absorbance spectra of the four samples with different time durations.
This sample was then heated and maintained at a constant temperature of 60 °C for four different time durations (30, 45, 60 and 90 min) under constant stirring with a magnetic stirrer with a hot plate.
We further model link discovery as a classification problem carried out on a training data set automatically extracted from two network snapshots taken in two consecutive time duration.
Given two snapshots G t f and G t s of the concept network corresponding to two consecutive time duration t f and t s, we generate a group of labeled pairs based on which a training data set can be formed for the proposed supervised link discovery.
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Justyna Jupowicz-Kozak
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