3D profiles of <i>β</i> and λ with respect to the MAE for different Gaussian noise levels: (a) <i>σ</i> = 10⁻² and (b) <i>σ</i> = 10⁻³. by Limin Ma (556873)

Vertical central profiles produced for the 128-th column of the restored images with different Gaussian noise levels: (a) <i>σ</i> = 10⁻² and (b) <i>σ</i> = 10<sup>−3</s... by Limin Ma (556873)

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

“…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …”

Immune infiltration analysis by ssGSEA algorithm. by Yubin Xue (1537042)

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

Optimal Subsampling for Functional Quasi-Mode Regression with Big Data by Tao Wang (12008)

“…To estimate the model, we employ B-spline basis functions to approximate the functional coefficient and include a penalty term in the objective function for enforcing smoothness in the resulting estimator. …”

Spatial characterization of cancer-associated cell types in human breast cancer malignancies. by Nuray Sogunmez Erdogan (21533872)

Immune infiltration analysis by CIBERSORT algorithm. by Lanying Shen (22755930)

Precise spatial delineation of brain cell types in adult mouse brain. by Nuray Sogunmez Erdogan (21533872)

The GOR4 and SOPMA algorithm findings. by Ahmad Abdullah Mahdeen (19704401)

Deconvolution challenges due to coherence and heterogeneity. by Nuray Sogunmez Erdogan (21533872)

Immune infiltration analysis by CIBERSORT algorithm. by Lanying Shen (22755930)

Biological Function Assignment across Taxonomic Levels in Mass-Spectrometry-Based Metaproteomics via a Modified Expectation Maximization Algorithm by Gelio Alves (51850)

“…To overcome this limitation, we implemented an expectation-maximization (EM) algorithm, along with a biological function database, within the MiCId workflow. …”

<b>FCG-MFD: Benchmark Function Call Graph-Based Dataset for Malware Family Detection</b> by Hassan jalil hadi (18243805)

The cost function Φ(<i>x</i>, <i>w</i>) versus the number of iterations for different Gaussian noise levels: (a) <i>σ</i> = 10⁻² and (b) <i>σ</i> = 10⁻³.... by Limin Ma (556873)

Test functions. by Kejia Liu (5699651)

“…<div><p>The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence. …”

Differences between FFVTD at Stage II-A and Stage II-B. by Ferhat Yuna (21519851)

Comparative analysis of WordNet replacement impact on data distribution. by Enock Niyonkuru (21246879)

Original paper-based support for item 18 (A), 19 (B) and 22 (C) and screenshots of the digital interfaces of the item 18 (D), 19 (E) and 22 (F). by Dominique Vincent-Genod (20552594)

Clinical characteristics of the participants. by Yuki Takagi (9647692)

“…</p><p>Methods</p><p>We included 30 patients (48 eyes) who underwent HFA 24-2 Swedish Interactive Threshold Algorithm Standard and IMOvifa™ 24plus (1-2) Ambient Interactive Zippy Estimated tests on the same day and HFA 10-2 within six months. …”