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.…”

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.…”

Flowchart of the subspace fitting algorithm for interpolated coprime arrays. by Chuanxi Xing (20141665)

Spatial spectrum of the 100th frame under array distortion conditions (20 elements). by Gaoxiang Xing (21755689)

Subjects:

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Partial dependence plots using models were DVT is predicted by D-dimer and either C3bc, terminal complement complex (TCC) or C-reactive protein (CRP). by Vårin Eiriksdatter Wikan (22379134)

Subjects:

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

|B1+| and |E| maps using the standard basis. by Maryam Arianpouya (12299222)

Subjects: “…Cell Biology…”

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms by Guangyin Jia (21075537)

“…By comparing 8 machine learning algorithms and using a weighted soft voting method to integrate the two optimal algorithms, we established 108 prediction models and identified the best ensemble learning model MACCS_LK for screening and defining its application domain. …”

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. …”

Comparison of PSNR values of different algorithms. by Xiaojun Wang (50332)

Subjects:

Changes in FID values of different algorithms. by Xiaojun Wang (50332)

Subjects:

Comparison of SSIM values of different algorithms. by Xiaojun Wang (50332)

Subjects:

Changes in loss values for different algorithms. by Xiaojun Wang (50332)

Subjects:

Flow diagram of included and excluded patients. by Vårin Eiriksdatter Wikan (22379134)

Subjects:

The proportions of immune cells based on the xCell algorithm. by Wan-Jing Zhen (20427813)

Subjects:

Improved modelling of breast cancer cells using machine learning heuristic algorithms by Maria Sajjad (19737807)

“…This approach also considers the different properties and responses of immune cells. Our validated results, obtained using metaheuristic algorithms and sensitivity analysis, provide significant insights into the correlation between the advancement of breast cancer and the innate and adaptive immune systems. …”

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)