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TABLE I MRI AND LAKE TAHOE IMAGES

in Dynamic clustering using Particle Swarm Optimization with application in image segmentation
by Mahamed G. H. Omran, Andries P Engelbrecht, Ayed Salman 2005
Cited by 4

TABLE I MRI AND LAKE TAHOE IMAGES

in Dynamic clustering using Particle Swarm Optimization with application in image segmentation
by Mahamed G. H. Omran, Andries P Engelbrecht, Ayed Salman 2005
Cited by 4

TABLE I MRI DATA ACQUIS~TION SPECETCATIONS FROM A SINGLE DOUBLE-ECHO SCAN

in Segmentation of Multide Sclerosis Lesions
by B. Johnston, M. S. Atkins, B. Mackiewich, M. Anderson

TABLE I MRI-TO-MRI CONSISTENT LINEAR-ELASTIC REGISTRATION EXPERIMENTAL PARAMETERS AND FINAL VALUES

in Consistent Image Registration
by G. E. Christensen, H. J. Johnson

Table 2. Regional to global scale models for aerosol sulfate

in The Whitehouse Effect-Shortwave Radiative Forcing Of Climate By Anthropogenic Aerosols: An Overview
by Stephen E. Schwartz 1996
"... In PAGE 9: ...Benkovitz et ul., 1994). Nonetheless, the mean residence time derived from this analysis is certainly consistent with other estimates noted above. The atmospheric loading of sulfate has been calculated in a number of regional- to global-scale models of varying degrees of sophistication, as summarized in Table2 . These models can be used to infer the pertinent atmospheric chemistry variables in equation (2).... In PAGE 21: ...nd Waste Management Association and the American Geophysical Union, I thank S. Nemesure and R. Wagener for calculations and C. Benkovitz for preparation of Table2 . This research was supported by the Environmental Sciences Division of the U.... ..."
Cited by 5

Table 2: A rule specifying when and how a template constraint is used.

in *FLIP++: a partial constraint satisfaction system for steelmaking scheduling
by Ulrich Santa, Wolfgang Slany, Mazen Younes
"... In PAGE 7: ... Additionally, relations between attributes of items in these optimization structures and the static constraints must be de ned using a special rule- based language that is interpreted at evaluation time by DynaFLIP++. A rule, slightly simpli ed but taken from the actual steelmaking domain, illustrates this mechanism as given in Table2 . Here, `Chem- ical Compatibility CC3hJobi,Jobi+1i apos; stands as a macro that links several attribute values of Jobi and Jobi+1 to linguistic variables de ned in the pre-tuned static constraints.... In PAGE 9: ...FLIP++. The evaluated constraints are put into the SetOfEvalConstraints, where they can be aggregated as described in Table2 . When all relevant constraints determined by the rule-based language are evalu- ated, the overall evaluation score is returned to DomFLIP++.... ..."

Table 3. Deposition to Oceans and Forestsa

in
by Alf Grini, Gunnar Myhre, Charles S. Zender, Ivar S. A. Isaksen
"... In PAGE 5: ....1.2. Nutrient Budgets [43] Table3 shows the yearly deposition to different ocean and forest regions. An increasing interest in the role of dust in transport of trace metals in the atmosphere has made it interesting for dust modelers to compare their fluxes to estimates given in the literature for model evaluation purposes.... ..."

Table 2 JBIG markers.

in The IBM JBIG-ABIC Verification
by unknown authors
"... In PAGE 4: ... The markers are inserted only as needed to direct the decoding process. Table2 is a complete list of the JBIG markers, indicating the names, segment sizes, JBIG values, and marker usage by the IBM JBIG-ABIC core. A brief description of each JBIG marker follows.... ..."

Table 1. Physical and Optical Properties for Mineral Dust Aerosols

in Simulating Aerosols Using a Chemical Transport Model with Assimilation of Satellite Aerosol Retrievals: Methodology for INDOEX
by William D. Collins, Phillip J. Rasch, Brian E. Eaton, Boris V. Khattatov, Jean-francois Lamarque, C. Zender 1999
"... In PAGE 6: ...m/s [Cooke and Wilson, 1996; Liousse et al., 1997]. The dry deposition of dust includes gravitational settling and turbulent deposition from the lowest layer to the surface. The settling velocities and turbulent deposition velocities for the four classes of dust are shown in Table1 [Seinfeld and Pandis, 1997, p. 971].... In PAGE 8: ... The dust in each size class is distributed according to a lognormal distribution. The size parameters and extinction coefficients for each size class are given in Table1 . No hygroscopic growth factors are applied to the dust extinction coefficients.... ..."
Cited by 3

Table 1 Fuzzy Resoning

in Fuzzy Logic-Based Event Notification in Sparse MANETs
by Anna Lekova, Katrine Skjelsvik, Thomas Plagemann, Vera Goebel
"... In PAGE 5: ... If AR is Eq. 4, the overall score is 0.743. Using DA, i.e., the fuzzy reasoning given in Table1 , we obtain the degrees of relevance in all projections. By Eq.... ..."
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