Data and code resources. by Sam Hall-McMaster (10343795)

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Rerandomization Algorithms for Optimal Designs of Network A/B Tests by Qiong Zhang (172309)

“…Asymptotic distributions of these statistics are derived to guide the specification of parameters in the algorithms. We validate the proposed algorithms using both synthetic and real-world networks.…”

The genome coding scheme. by Wenbing Shi (5806160)

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Improve algorithm settings. by Hui Zhao (7395)

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Comparison of ROI masks generated using different algorithm parameters. by Virgil Christian Garcia Castillo (19688355)

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The p-values obtained by Wilcoxon signed-rank test of ablation experiments. by Tengfei Ma (597633)

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GenSearch algorithm. by Tarun Khajuria (12117309)

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Test results of different algorithms. by Ling Zhao (111365)

“…The model characterizes room functions and spatial locations through binary coding, and uses dynamic fitness function and backtracking strategy to improve space utilization and functional fitness. In the experiments, optimization metrics such as kinematic optimization rate (calculated based on the shortest path and connectivity between functional areas), space utilization rate (calculated by the ratio of room area to total usable space), and functional fitness (based on the weighted sum of users’ subjective evaluations and functional matches) all perform well. …”

Algorithm testing environment settings. by Hua Song (113155)

“…In this study, an interactive 3D modeling design model based on Bezier curve and Harris corner detection algorithm is constructed. …”

The experiment of test results for LSTM based EO. by Rizk M. Rizk-Allah (18625751)

The experiment test results for solar power forecasting using LSTM. by Rizk M. Rizk-Allah (18625751)

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

Algorithm flow chart. by Yun Qi (560401)

“…Additionally, the average path length of MSWOA is 32.2% shorter than WOA, 40.5% shorter than WOA-1, and 41.4% shorter than PSO. The MSWOA algorithm generates the shortest and smoothest path among the tested methods.Based on the analysis of the path graph and iteration frequency graph, it is recommended to apply the MSWOA algorithm to path planning experiments. …”

Algorithm iteration graph. by Yun Qi (560401)

“…Additionally, the average path length of MSWOA is 32.2% shorter than WOA, 40.5% shorter than WOA-1, and 41.4% shorter than PSO. The MSWOA algorithm generates the shortest and smoothest path among the tested methods.Based on the analysis of the path graph and iteration frequency graph, it is recommended to apply the MSWOA algorithm to path planning experiments. …”

Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

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The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

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Effects of different algorithms on feature extraction of jamming signals. by Hui Zhao (7395)

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Iterative curve of ablation experiment. by Tengfei Ma (597633)

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Reward outcomes for each combination of task cue and policy in the experiment. by Sam Hall-McMaster (10343795)

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Box plot of ablation experiment data. by Tengfei Ma (597633)

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