Algorithm of model development and validation. حسب Bethan Cracknell Daniels (20469396)

Folder with all data and algorithms حسب Jorge Servert Lerdo de Tejada (22290001)

Evaluation metrics of the models constructed by each algorithm. حسب Xiaoyan Yang (259084)

الموضوعات:

Workflow of the developed simulation algorithm. حسب Arnab Mutsuddy (22146227)

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

Comparison of different optimization algorithms. حسب Hang Zhao (143592)

الموضوعات:

Average computation time for each algorithm. حسب Jinyu Wang (381467)

"…To address these problems, we propose a new, efficient real-time SLR data processing method. This algorithm combines single-stage filtering with a histogram-based approach and incorporates polynomial fitting to establish a predictive model. …"

Secondary metrics for each model developed and tested. حسب Michael D. Cobler-Lichter (22492930)

الموضوعات:

Federated averaging algorithm. حسب Yan Qin (118276)

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

Pseudocode for the missForestPredict algorithm. حسب Elena Albu (15181070)

الموضوعات:

Algorithmic experimental parameter design. حسب 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. …"

The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

"…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …"

A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Propo... حسب Zachary P. Neal (9946331)

Comparison of Point Cloud rigid registration algorithms. حسب Morena Raiola (22439390)

Partial dependence plots (A – G) and the resulting clustered feature importance (H) for each feature and trained model. حسب Daniel Walke (21680915)

"…In H), we hierarchically clustered (Euclidean distance with average linking) the feature importance resulting from the normalized variance in the partial dependence plots for each trained model. Tree-based algorithms (i.e., Decision Tree, Random Forest, XGBoost, and RUSBoost) are grouped together indicating similar underlying mechanisms for the classification. …"

Algorithm deployment platform build. حسب Jie Wang (16762)

Spatial spectrum estimation for three algorithms. حسب 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. …"

Schematic diagram of the experimental algorithm. حسب Ronghua Meng (20978441)

"…On the basis of stable egg carrying, a carrying motion mathematical model is established, and the genetic algorithm (GA) is chosen to optimize the structural parameters. …"

Data Sheet 1_Development and validation of an endoscopic diagnostic model for sessile serrated lesions based on machine learning algorithms.docx حسب Xinying Yu (16400811)

"…Background and aims<p>Sessile serrated lesions (SSLs) are morphologically subtle and often misclassified as hyperplastic polyps (HPs), increasing colorectal cancer risks. We developed a machine learning (ML) model to improve endoscopic SSL diagnosis.…"