Functional modules. حسب Mehrnaz Shoushtarian (6411299)

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. حسب Gursimran Singh (575288)

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Generated blended data using mouse brain cells and human embryonic heart cells, labeled as <i>Mix</i>[<i>a</i>,<i>b</i>,<i>c</i>], indicates the proportion of mouse brain cells fou... حسب Nuray Sogunmez Erdogan (21533872)

Data Sheet 1_Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive.pdf حسب Elena Pastorelli (7024235)

"…This work provides the computational community with a two-compartment spiking neuron model that supports the proposed forms of brain-state-specific activity. A machine learning evolutionary algorithm, guided by a set of fitness functions, selected parameters defining neurons that express the desired apical dendritic mechanisms. …"

Longitudinal trajectories of functional network development across the birth transition. حسب Lanxin Ji (20290942)

Explained variance ration of the PCA algorithm. حسب 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. …"

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... حسب Ziyan Jin (21021976)

Comparison of computational cost between SBOA and MESBOA. حسب Yuqi Xiong (12343771)

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-value on CEC2022 (dim = 20). حسب Yuqi Xiong (12343771)

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Flowchart of low-light image enhancement based on MESBOA. حسب Yuqi Xiong (12343771)

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Flowchart of low-light image enhancement based on MESBOA. حسب Yuqi Xiong (12343771)

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Precision elimination strategy. حسب Yuqi Xiong (12343771)

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Results of low-light image enhancement test. حسب Yuqi Xiong (12343771)

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Evaluation metrics obtained by SBOA and MESBOA. حسب Yuqi Xiong (12343771)

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Lens imaging opposition-based learning. حسب Yuqi Xiong (12343771)

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Python code for a rule-based NLP model for mapping circular economy indicators to SDGs حسب Zahir Barahmand (18008947)

"…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…"

RASP performance across different scales in the Mouse Sagittal brain dataset. حسب Ian K. Gingerich (22822222)

Drug Release Nanoparticle System Design: Data Set Compilation and Machine Learning Modeling حسب Shan He (121220)

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ClaritySpectra: Raman spectra analysis tool حسب Aaron Celestian (9395696)

"…</li><li>Pre-compiled database from RRUFF and SLOPP that includes Hey Index of classification, chemistry, locality, paragenesis, mineral evolution stage, etc.</li></ul><h3>PEAK FITTING </h3><ul><li>Automated background subtraction using asymmetric least squares fitting</li><li>A new suggested background feature that lets you preview the background that you like best</li><li>Interactive background fitting lets you further tune the background to perfection</li><li>Four choice of peaks: Gaussian, Lorentzian, Pseudo-Voigt, and the new Asymmetric Voigt functions</li><li>Overlapping view of how well the peaks fit with quality metrics</li><li>No need to define regions, the algorithm is smart enough to what a peak looks like.…"

<b>Functional excitation-inhibition ratio indicates near-critical oscillations across frequencies</b> حسب Marina Diachenko (19739092)

"…Mansvelder, Hilgo Bruining, Eco de Geus, Arthur-Ervin Avramiea^$, Klaus Linkenkaer-Hansen^$,*</p><p dir="ltr">*Correspondence: Klaus Linkenkaer-Hansen (klaus.linkenkaer@cncr.vu.nl)</p><p dir="ltr">^$Shared authorship</p><p><br></p><p><br></p><p dir="ltr"><b>Abstract</b></p><p dir="ltr">The concept of excitation/inhibition (E/I) balance plays an important role in understanding brain function in health and disease. We recently introduced an algorithm to determine a functional E/I ratio based on the critical brain dynamics that emerge in neuronal networks balancing between order and disorder. …"