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

"…We developed a mechanism which converts a given medical image to a spectral space which have a base set composed of special functions. …"

Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. حسب Ege Altan (11768156)

Reconstructing <i>sparse</i>, binary patterns using message passing algorithms and PCA. حسب Sebastian Goldt (14522594)

"…<p>We plot the mse per pattern obtained by the AMP algorithm, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e072" target="_blank">Eq (32)</a>, as a function of the effective noise Δ (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e032" target="_blank">9</a>), for random (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e044" target="_blank">15</a>) and informed (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e045" target="_blank">16</a>) initialisations. …"

Continuous Probability Distributions generated by the PIPE Algorithm حسب LUIS G.B. PINHO (14073372)

"…The PIPE algorithm can generate several candidate functions to fit the empirical distribution of data. …"

Flowchart of DAPF-RRT algorithm. حسب Zhenggang Wang (1753657)

"…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …"

Performance comparison of different algorithms. حسب Zhenggang Wang (1753657)

"…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …"

The loss function of network structures, LPC-DNN, LPC-PCA-DNN, LPC-LSTM, LPC-PCA-LSTM, MFCC-DNN, MFCC-PCA-DNN, MFCC-LSTM and MFCC-PCA-LSTM, as the epoch increases. حسب Cihun-Siyong Alex Gong (11874066)

Pipeline of the interactor algorithm. حسب Jose Cleydson F. Silva (8685594)

<b></b>Magnetic Kernels: A Theoretical and Algorithmic Framework for the P vs NP Problem حسب DURGHAM QARALLEH (21904172)

Flowchart of proposed algorithm. حسب Tibebu Legesse (21030014)

"…Moreover, the proposed algorithm significantly extends network lifetime, with a <b>3.5%</b> and <b>7.5%</b> improvement over EAPS-AODV and AODV. …"

The SSIM for the different algorithms. حسب Bingbing Li (461702)

"…When using the algorithm for denoising, the research method had a minimum denoising time of only 13ms, which saved 9ms and 3ms compared to the hard threshold algorithm (Hard TA) and soft threshold algorithm (Soft TA), respectively. …"

Original data for the study "<b>Improving basin-wide flood estimation from a global hydrological model through spatiotemporal-pattern-</b><b>based </b><b>machine learning</b>" حسب Jiaqing Wang (18814630)

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب Morgan Najera (21540776)

"…</p><p dir="ltr">The package includes:</p><ul><li>Scripts for first-order analysis, third-order modeling, optimization using a Physically Grounded Merit Function (PGMF), and RMS-based refinement.</li><li>A subfolder named <b>Images</b>, which stores the figures generated by six of the seven provided scripts.…"

In this example the MPC algorithm perfectly tracks the noisy signal , which results in many false spikes. حسب Nicholas A. Rondoni (21573261)

<b>The Negative Digital Root Implemented as a Mathematica Standalone Function</b> حسب Paul F. Marrero Romero (17450601)

PCA2GO Functional Annotation of Immune biological functions significantly enriched p<10E-10) in Stage 1 and stage 2 r-HAT cases. حسب Peter Nambala (7245215)

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Visual depiction of the MSA algorithm. حسب Kayson Fakhar (12890364)

The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations. حسب Alexis M. Thornton (11068403)

"…<p>(A) Overview of the experimental approach (B) Schematic of the eVIP decision tree-based eVIP algorithm. …"

Principal component analysis (PCA) of sub-layer mean intensities. حسب Maëlle Vilbert (17101954)

GELU function. حسب Yuanzhou Zheng (15195249)