Fitness function parameters. by Ankita Sharma (3183054)

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

“…Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”

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

“…Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”

Simulation settings of rMAPPO algorithm. by Jianbin Zheng (587000)

“…Additionally, value function normalization and adaptive learning rate strategies are applied to accelerate convergence. …”

Raw task performance on both experiments, with respect to conditions. by Anis Najar (9745561)

Objective function for pressure control system. by Fazal E. Nasir (14992506)

Filled contour plot based on histograms of the occurence-frequency of binned values of and as a function of rate ratio . by Paul Kinsler (3975620)

Venn diagrams showing overlap of the total of overrepresented/underrepresented kinases for both cohorts. by Erica A. K. DePasquale (11851483)

Implementation of Adaptive Genetic Algorithm for classification problems by Dr.E.N. Ganesh (12315038)

“…The evaluation</p> <p>function takes into account her four key factors: error rate,</p> <p>entropy measure, rule consistency, or hole rate. …”

CEC2022 and CEC2017 benchmark functions. by Chengcheng Ding (9013862)

Network Gradient Descent Algorithm for Decentralized Federated Learning by Shuyuan Wu (57425)

“…<p>We study a fully decentralized federated learning algorithm, which is a novel gradient descent algorithm executed on a communication-based network. …”

Intermediate model comparisons. by Anis Najar (9745561)

Parameter comparison between UD and SD conditions. by Anis Najar (9745561)

Generalizing the results. by Anis Najar (9745561)

Gaining Outlier Resistance With Progressive Quantiles: Fast Algorithms and Theoretical Studies by Yiyuan She (759508)

“…The obtained resistant estimators, though not necessarily globally or even locally optimal, enjoy minimax rate optimality in both low dimensions and high dimensions. …”

Filaments rule and gave Rate Strategists an advantage. by Bastiaan J. R. Cockx (18078759)

Low-Rank Covariance Function Estimation for Multidimensional Functional Data by Jiayi Wang (294312)

“…In this article, we propose a novel nonparametric covariance function estimation approach under the framework of reproducing kernel Hilbert spaces (RKHS) that can handle both sparse and dense functional data. …”

The extended analyses of the observed ceRNA pairs that are related to miRNA hsa-let-17e-5p. by Yi-Wen Hsiao (13767916)

Growth rate comparison between models and experimental results in mono-culture and co-culture. by Elias Vera-Siguenza (16993830)

<i>OptRAM</i>: <i>In-silico</i> strain design via integrative regulatory-metabolic network modeling by Fangzhou Shen (5140994)

“…To address challenges in metabolic engineering, computational strain optimization algorithms based on genome-scale metabolic models have increasingly been used to aid in overproducing products of interest. …”