Arbitrary Design of DNA-Programmable 3D Crystals through Symmetry Mapping by Jason S. Kahn (2744830)

Subjects:

Detailed schematic of the three-phase PWM controlled rectifier. by Omar Talal Mahmood (22110438)

Classification of PavCA Index scores with the k-Means algorithm where k = 3. by Camille Godin (21445879)

Comparative Summary of Three-Phase Rectifier Control Methods Based on Sliding Mode Control (SMC). by Omar Talal Mahmood (22110438)

Schematic Diagram for the Proposed AFWATSMC and DPSMC Controllers used to control the Three-Phase Rectifier in voltage and current loops respectively. by Omar Talal Mahmood (22110438)

Two representative subsets of (A) high-flash-rate and (B) low-flash-rate lightning data identified by the CC3D algorithm. by Manxing Shi (22367181)

Distribution of (A) temporal difference set (DistT) and (B) spatial distance set (DistS) values by sample number, for the lightning data subset (Fig 3(B)) identified by the CC3D al... by Manxing Shi (22367181)

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

“…In medicinal chemistry, they are the basis for analyzing ligand–biomacromolecule interactions. Ertl’s algorithm is an approach to extract functional groups in arbitrary organic molecules that does not depend on predefined libraries of functional groups. …”

Summary of greedy algorithms presented in this section. Details of approximation factors for FastGreedy and UnitGreedy may be found in [26] and [25], respectively. by Jeffrey Keithley (14626551)

Subjects:

FastGreedy, UnitGreedy, SingletonGreedy, 3-EnumGreedy, and POMS comparison with respect to practical running time (estimated for POMS) to achieve approximation guarantee for New Ha... by Jeffrey Keithley (14626551)

Subjects:

Percentage totBurden and percentage maxBurden reduced by UnitGreedy, SingletonGreedy, FastGreedy and baselines for = 0.535 in Iowa for FRED (first column) and SafeGraph (second col... by Jeffrey Keithley (14626551)

Subjects:

Metapopulation model notation. by Jeffrey Keithley (14626551)

Subjects:

Estimates of for each problem instance. by Jeffrey Keithley (14626551)

Subjects:

The instance of MaxCasesAverted and MaxPeaksReduced is a graph <i>G</i> constructed from the given instance of Max k-SI. by Jeffrey Keithley (14626551)

Subjects:

Percentage totBurden and percentage maxBurden reduced by UnitGreedy, FastGreedy and baselines for = 0.525 in Texas for FRED (first column) and SafeGraph (second column). by Jeffrey Keithley (14626551)

Subjects:

Approximation factors for each problem instance. by Jeffrey Keithley (14626551)

Subjects:

Percentage totBurden and percentage maxBurden reduced by all approaches for = 0.5345 in New Hampshire for FRED (first column) and SafeGraph (second column). by Jeffrey Keithley (14626551)

Subjects:

YOLOv3-spp. by Xinwei Wang (352488)

Similar to Fig 7, but for the year 2014. by Manxing Shi (22367181)

“…Although density-based clustering algorithms can identify clusters of arbitrary shapes at fine scales, their performance is often hindered by large data volumes and significant variations in lightning density. …”

Sample lightning stroke data. by Manxing Shi (22367181)

“…Although density-based clustering algorithms can identify clusters of arbitrary shapes at fine scales, their performance is often hindered by large data volumes and significant variations in lightning density. …”