Performance of machine learning algorithms. by Wenxue Liu (6877754)

Characteristics of training algorithms. by Tuan Anh Nguyen (121944)

“…This article presents the design of a hybrid self-learning algorithm to address the above challenges. …”

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Federated averaging algorithm pseudocode. by Hadi Mohammadian KhalafAnsar (22783784)

The flowchart of QLDE algorithm. by Guanqun Wang (705958)

“…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with <i>K</i>-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …”

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

DMTD algorithm. by Yunhu Huang (21402795)

“…The first algorithm, EITO_E, is based on an expert system containing expert rules and a heuristic expert inference method. …”

ResNet50 algorithm. by Zhang Shanshan (22272359)

mixWAS: A One-Shot Lossless Algorithm for Cross-Cohort Learning in Mixed-Outcomes Analysis by Ruowang Li (21182873)

“…Traditional methods often require data pooling or complex data harmonization, which can reduce efficiency and limit the scope of cross-cohort learning. We introduce mixWAS, a one-shot, lossless algorithm that efficiently integrates distributed EHR datasets via summary statistics. …”

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

Robust control scheme. by Tuan Anh Nguyen (121944)

“…This article presents the design of a hybrid self-learning algorithm to address the above challenges. …”

Specific Algorithm Steps. by Na Wang (193263)

Comparison of algorithm performance metrics. by Qing Zeng (494174)

Evaluating the robustness of GNNs compared to benchmarks (A) and their required training time (B). by Daniel Walke (21680915)

“…<p>We evaluated the classification performance (A) of GNNs (Graph-SAGE) on homogeneous and heterogeneous similarity graphs and the performance of other machine learning algorithms (neural network, Decision Tree, Logistic Regression, Random Forest, RUSBoost, XGBoost) by adding 10 or 100 noisy features to the complete blood count datasets (higher values represent better performance). …”

<b>Discrimination of gold deposit types based on big data analysis and machine learning techniques</b> by Lihao Feng (20837036)

Risk element category diagram. by Yao Hu (3479972)

“…The LSTM algorithm can play a role in providing early warning, assisting decision-making, optimizing resources, and enhancing real-time monitoring in airport security assurance. …”

Schematic diagram of <i>K</i>-means algorithm. by Guanqun Wang (705958)

“…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with <i>K</i>-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …”

Flowchart of PRGA algorithm. by Yicheng Liu (2179626)

“…A case study of a bidirectional disruption during the 08:00–10:00 on the section of Xi’an Metro Line 2 demonstrates that: (1) The proposed model exhibits stronger robustness under demand uncertainty, achieving a reduction of 3 dispatched vehicles and a cost saving of 9,439 RMB by moderately increasing passenger costs by 850 RMB and extending bridging time; (2) The RPGA algorithm outperforms Non-dominated Sorting Genetic Algorithm II (NSGA-II), Reinforcement Learning-based NSGA-II (RLNSGA-II), and Multi-objective Particle Swarm Optimization Algorithm (MOPSO) in hypervolume (HV), generational distance (GD), and non-dominated ratio (NDR); (3) Increasing the rated passenger capacity within a certain range can reduce average passenger delays but correspondingly raises transportation costs. …”

Feature selection using Boruta algorithm. by Shayla Naznin (13014015)

“…<div><p>Background</p><p>Under-5 mortality in Bangladesh remains a critical indicator of public health and socio-economic development. …”

Image 2_Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm.tif by Jiaming Wang (2637667)

“…</p>Method<p>In this study, a robust and accurate prediction model for osteoporosis was developed and validated based on machine learning and SHAP techniques. …”