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Table 22 Quantitation Bias - Diesel; Quality Control Comparison

in unknown title
by unknown authors

TABLE 1. Sample Data Collected over a Single Day (Between a Single Source and

in Internet Service Performance: Data Analysis and Visualization
by Cross-Industry Working Team, Internet Service Performance, Data Analysis, Charles N. Brownstein, Executive Director

TABLE I PERCENTAGE OF IP ADDRESS ON SINGLE DAYS THAT HAVE PREVIOUSLY APPEARED IN THE PAST FORTNIGHT

in Protection from Distributed Denial of Service Attack Using History-based IP Filtering
by Tao Peng, Christopher Leckie, Kotagiri Ramamohanarao 2003
Cited by 29

Table 7: Top 10 stories found by single day noun phrase features

in Extracting Significant Time Varying Features from Text
by Russell Swan, James Allan 1999
Cited by 22

Table 1. Distribution of Single Units across Days and Rats

in Gradual Translocation of Spatial Correlates of Neuronal Firing in the Hippocampus toward Prospective Reward
by Inah Lee, Amy L. Griffin, Eric A. Zilli, Howard Eichenbaum, Michael E. Hasselmo 2006
Cited by 1

Table 1. Distribution of Single Units across Days and Rats

in Gradual Translocation of Spatial Correlates of Neuronal Firing in the Hippocampus toward Prospective Reward
by Inah Lee, Amy L. Griffin, Eric A. Zilli, Howard Eichenbaum, Michael E. Hasselmo 2006
Cited by 1

Table 1: Data, Single Stage due date processing time (days)

in Effective Continuous-Time Formulation for Short-Term Scheduling: 3. Multiple Intermediate Due Dates
by M. G. Ierapetritou, T.S. Hené, C. A. Floudas 1998
"... In PAGE 60: ...Table1 0: Data for Batch 4 Units, Tasks Units Size Units suitability Processing times Unit 1 1000 Task 1 1 Unit 2 2500 Tasks 3,7 1 Unit 3 3500 Task 4 1 Unit 4 1500 Task 2 1 Unit 5 1000 Task 6 1 Unit 6 4000 Task 5,8 1 States States Capacity Limits Prices Feeds 1,2,3 Unlimited 0 Intermediate 4 1000 Intermediate 5 1000 Intermediate 6 1500 Intermediate 7 2000 Intermediate 8 0 Intermediate 9 3000 Products 1,2,3,4 Unlimited 18,19,20,21 Demands time Products 3 4 5 6 7 8 1 110 110 133.3 100 33.... In PAGE 61: ...Table1 1: Results for Batch 4 Proposed Formulation Constraints 833 Variables 798 Binary vars 64 Integer optimum 60297 Relaxation optimum 60356 Integrality Gap 0.001 No.... In PAGE 61: ... Nodes 34 CPU Time (s) 0.27 Table1 2: Sub-plants Example Machines Products Test (t) / Maintenance (m) 1 J1 I3, I6, I11 - 2 J2 I4, I10 - 3 J3 I1, I2, I7, I14 I15, I16 (t1,t2) J4 I2, I7, I14 - 4 J5 I5, I12 I18(m) J6 I5, I12 - 5 J7 I8, I9, I13 I17 (t3)... In PAGE 62: ...Table1 3: Results for Examples 1-5, HP-C160 workstation, IBM RS-6000 workstation Proposed Karimi and Approach McDonald Example 1 binary vars 44 70 continuous vars 428 467 constraints 750 620 CPU time 0.72 5.... ..."
Cited by 19

Table 1. GROMACS Stimulation Performance Quoted in Picoseconds/Day on Single PC CPUs.

in Introduction GROMACS: Fast, Flexible, and Free
by David Van, Der Spoel, Erik Lindahl, Berk Hess, Gerrit Groenhof, Alan E. Mark, Herman J. C. Berendsen
"... In PAGE 14: ... Intel compilers (32 and 64 bit versions, respectively) were used on the Intel/AMD machines and IBM compilers on the PowerPC. The results mostly speak for themselves ( Table1 ), but there are a couple of noteworthy observations. First, the three architectures are almost on par considering the PowerPC machine is cutting edge while the H1100386 alternatives are several months old.... ..."

Table 10: Personnel requirements for a single qualification on one day (DATASET 2)

in Metaheuristics for handling Time Interval Coverage Constraints
by In Nurse Scheduling, Edmund Burke, Patrick De Causmaecker, Sanja Petrovic

Table 10: Personnel requirements for a single qualification on one day (DATASET 2)

in Metaheuristics for handling Time Interval Coverage Constraints
by In Nurse Scheduling, Edmund K. Burke, Patrick De Causmaecker, Sanja Petrovic
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