CPU runtime of each algorithm: (a) Running Time Comparison of Different Algorithms on F1-F10 and (b) Running Time Comparison of Different Algorithms on F11-F20. by Ruyi Dong (9038174)

Heatmap results from the global sensitivity analysis for the generation of villous vessels within a placentone. by Diana C. de Oliveira (9220729)

The phase-field function for three different network configurations considered in this work. by Martina Bukač (20161460)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms by Saadiallakh Normatov (20682324)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms by Saadiallakh Normatov (20682324)

CPU usage of benchmark function: (a) CPU Usage during the Execution of Benchmark Functions F21-F30, (b) CPU Usage during the Execution of Benchmark Functions F31-F40 and (c) CPU Us... by Ruyi Dong (9038174)

Iteration curve of benchmark function: (a) Convergence curves of the average best fitness for functions F21-F30, (b) Convergence curves of the average best fitness for functions F3... by Ruyi Dong (9038174)

Decoding results. by Sam Hall-McMaster (10343795)

Behavioral results. by Sam Hall-McMaster (10343795)

AODV algorithm for route selection at node destination. by Tibebu Legesse (21030014)

Flowchart of the general algorithm for one trial. by Junying Wang (509009)

Computational and resource efficiency of different algorithms. by Rui Li (4631)

Pipeline of the interactor algorithm. by Jose Cleydson F. Silva (8685594)

Pictorial representation of isomorphically scaling down spots within a fixed field of view and corresponding imaging configuration. by Nicholas H. Vitale (20469289)

Flowchart of MOSRS algorithm. by Vahid Goodarzimehr (21343124)

Objective function values of the algorithms across individual problem instances grouped by scale: (a) Small, (b) Medium, (c) Large, (d) Super-Large. by Panfei Li (22379086)

“…<p>Objective function values of the algorithms across individual problem instances grouped by scale: (a) Small, (b) Medium, (c) Large, (d) Super-Large.…”

EASP-AODV algorithm for route discovery at the intermediate node. by Tibebu Legesse (21030014)

Algorithm comparison experiment on the NWPU VHR-10 dataset. by Pingping Yan (462509)

Subjects:

Functional enrichment and correlation analysis of hub DE-SRGs. by Xihao Shen (20347942)

Subjects:

Comparison of different algorithms. by Jiandong Qiu (20389944)