Algorithm framework. by Zongjin Li (38031)

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Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

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

Data after data processing. by Jiaqi Wang (369548)

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

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

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

The AUC of each model was calculated using 113 ML algorithm. by Xuefen Lin (17785367)

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AUC-ROC curves of LNG trade network link prediction via Six Machine Learning Algorithms. by Pei Zhao (487688)

Subjects:

Flowchart of the general algorithm for one trial. by Junying Wang (509009)

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

Subjects:

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... by Zachary P. Neal (9946331)

The frequency of MRGs observed in the 113 algorithm combinations(A). by Xuefen Lin (17785367)

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Scatter diagram of different principal elements. by Jizhong Wang (7441697)

“…The experimental results show that the SSA-LightGBM model proposed in this paper has an average fault diagnosis accuracy of 93.6% after SSA algorithm optimization, which is 3.6% higher than before optimization. …”

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

Random Forest and Gradient Boosting algorithms. by Yvan J. Garcia-Lopez (20783591)

Confusion Matrix for the Hybrid algorithms. by Faten Al-hussein (20707521)

“…Medical records from 3,000 King Abdulaziz University Hospital patients containing demographic, lifestyle, and lipid profile data were used to develop the models. For the first time, we utilized recommended machine learning algorithms to develop hybrid prediction models to reduce the number of significant KPIs while enhancing HbA1c prediction accuracy. …”

The model of novel attention mechanism of GATs in predicting the potential links in LNGTN. by Pei Zhao (487688)

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Model’s measure methods. by Songsong Wang (8088293)

Subjects: “…necessitating extensive data…”

Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”

Mean prevalence of CoC across groups created using the k-means algorithm. by Shafayet Khan Shafee (22593191)