Illustration of recording paradigm with PyNoetic’s Stimuli generation and recording module. by Gursimran Singh (575288)

Subjects:

GO/KEGG Enrichment Analysis of Differentially Expressed Genes in High and Low-Risk Groups. by Jie Chu (293795)

F1-Score of different algorithms for TMD on SHL dataset. by Rui Li (4631)

F1-Score of different algorithms for TMD on HTC dataset. by Rui Li (4631)

The denoising results yielded by different algorithms. by Limin Ma (556873)

GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios by Yang Lan (20927512)

“…Using occurrence data and environmental variable, we employ the Maximum Entropy (MaxEnt) algorithm within the species distribution modeling (SDM) framework to estimate occurrence probability at a spatial resolution of 1/12° (~10 km). …”

Functional enrichment analysis. by Junjie Su (368807)

Subjects:

Algorithm detection steps. by José M. Rivera-Arbeláez (12418512)

Schematic diagram of sliding mode variable structure control algorithm design content. by Haoran Cui (7235234)

Subjects:

Illustration of the unrestricted model and its training algorithm. by Yuru Song (21300760)

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

Subjects:

Riemann Hypothesis Solution: A Structured Hilbert-Polya Operator Realization via Entropy Geometry by Jennifer Bulyaki (22283308)

WGCNA and machine learning algorithms. by Shushu Wang (6870191)

A. Mean change from baseline on Cognitive Ability Scores. by Carol Kotliar (22351525)

Subjects:

Greedy optimization algorithm. by Alexis Bénichou (19832361)

Skin transfer function ankle render diagram. by Yuliang Yuan (4478698)

Bone transfer function pelvis render diagram. by Yuliang Yuan (4478698)

<b>Fig. 3 | Performance analysis of microrobot navigation in various environments using reinforcement learning algorithms.</b> by Mahmoud Medany (20766911)

“…<b>e.</b> Impact of different reward functions on the rate of target achievement. …”

Identifying the groups becomes harder when the degradation chain is long, especially for groups catalyzing upstream reactions. by Yuanchen Zhao (12905580)

“…<p>(A) The panel shows the ability of the Metropolis algorithm to recover the true functional groups within a linear degradation chain with <i>N</i> = 4 metabolites. …”

<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043) by Erola Fenollosa (20977421)

“…</li><li>The dataframe of extracted colour features from all leaf images and lab variables (ecophysiological predictors and variables to be predicted)</li><li>Set of scripts used for image pre-processing, features extraction, data analytsis, visualization and Machine learning algorithms training, using ImageJ, R and Python.</li></ol><p dir="ltr">Read the <b>readMe.txt </b>to find detailed information of each file.…”