Statistical performance evaluation of algorithms and p-values obtained from Wilcoxon’s test. by Erdal Eker (19251018)

Details of 23 basic benchmark functions. by Ying Li (38224)

Overview of the modeling approach using Marxan optimization algorithm. by Boris Salak (18340030)

Algorithm of the PbGA search for the optimal PbF. by Larasmoyo Nugroho (18078260)

“…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …”

Experiment 2: Evaluating modularity-based consensus clustering pipelines on synthetic networks based on clustered real-world networks. by Yasamin Tabatabaee (18095491)

Ranking of Pareto set methods on the Banana dataset based on closeness to the optimal point. by Mohammed Shalaby (18297650)

Ranking of Pareto set methods on the USPS dataset based on closeness to the optimal point. by Mohammed Shalaby (18297650)

Image_1_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

Image_5_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

Image_2_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

Image_3_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

Image_4_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

Determination of optimal number of clusters. by Karl Gauffin (3175503)

Optimal ALARM BN discovered by CausNet. by Nand Sharma (21519845)

“…On a personal computer with a 2.3 GHz Intel Core i9 processor with 16 GB RAM, each processing takes less than five minutes. Our ‘partial generational orderings’ based method CausNet-partial is an efficient and scalable method for finding optimal sparse and small Bayesian networks from high dimensional data.…”

The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization by James A. Lumley (9464878)

“…Summarizing multiple MMPs that describe the same structural change into a single chemical transform can be a powerful tool for prediction (termed Transform from here on). This is particularly useful in the area of Absorption, Distribution, Metabolism, and Elimination (ADME) analysis that is less influenced by 3D structural binding effects. …”

The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization by James A. Lumley (9464878)

“…Summarizing multiple MMPs that describe the same structural change into a single chemical transform can be a powerful tool for prediction (termed Transform from here on). This is particularly useful in the area of Absorption, Distribution, Metabolism, and Elimination (ADME) analysis that is less influenced by 3D structural binding effects. …”

Experiment 3: Comparison of FastEnsemble(Leiden-CPM) and Leiden-CPM on synthetic networks based on clustered real-world networks. by Yasamin Tabatabaee (18095491)

HIV screening algorithm. by Wei Li A. Koay (21094209)

Here is the extracted cattle’s image from the original image using YOLOv5 algorithm, which accurately detects and isolates the cattle for further processing. by Md Junayed Hossain (22615268)

Optimal control for quadrotors UAV based on deep neural network approximations of stable manifold of HJB equation by Yuhuan Yue (824383)