The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations. by Alexis M. Thornton (11068403)

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The effect of each parameter on the frequency of peak value. by Shangyang Jin (21772466)

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The performance metrics comparison between MaAVOA and other algorithms in terms of GD value on DTLZs in the case of the 100000 function evaluations. by Heba Askr (15572851)

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The performance metrics comparison between MaAVOA and other algorithms in terms of HV value on DTLZs in the case of the 100000 function evaluations. by Heba Askr (15572851)

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The performance metrics comparison between MaAVOA and other algorithms in terms of IGD value on DTLZs in the case of the 100000 function evaluations. by Heba Askr (15572851)

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Hyperparameter settings of the algorithm 1. by Jin Xu (31283)

“…Therefore, this paper presents a novel adaptive control structure for the Twin Delayed Deep Deterministic Policy Gradient algorithm, which is based on a reference trajectory model (TD3-RTM). …”

Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter. by Yasamin Tabatabaee (18095491)

Average running times for the different algorithms. by Ayush Dogra (17054597)

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Qualitative comparisons of the proposed algorithm with 7 state-of-the-art algorithms in 4 representative CT-MRI image pairs. by Ayush Dogra (17054597)

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Qualitative comparisons of the proposed algorithm with 7 state-of-the-art algorithms in 4 representative CT-MRI image pairs. by Ayush Dogra (17054597)

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Comparison of mAP@0.5 and Recall for mainstream algorithms. by Junjie Lu (160350)

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Identification of recurrent synapses by the smooth-index algorithm. by Alexander Borst (32619)

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Process of facial feature extraction and recognition method based on ipca algorithm. by Lu Lin (201289)

Completion times for different algorithms. by Jianbin Zheng (587000)

“…Action masking is used to filter out invalid states and actions, while a shared reward mechanism is adopted to balance cooperation efficiency among agents. Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”

The average cumulative reward of algorithms. by Jianbin Zheng (587000)

“…Action masking is used to filter out invalid states and actions, while a shared reward mechanism is adopted to balance cooperation efficiency among agents. Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”

-value on 23 benchmark functions (dim = 30). by Yuqi Xiong (12343771)

“…To enhance algorithm performance, this paper proposes an enhanced Secretary Bird Optimization Algorithm (MESBOA) based on a precise elimination mechanism and boundary control. …”

Illustration of final objective function values consistency and possible objective function landscapes. by Fabian Fröhlich (848026)

Flowchart of improved FOX optimization algorithm. by Mahmood A. Jumaah (22272371)

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Variation of function values by ADM with different tolerable waiting times. by Yuxuan Long (17720796)

<i>S</i>_<i>c</i> of ch150, rat575 and fl1400 for algorithms of each group. by Jin Zhang (53297)