The results of ICA performed using PyNoetic. حسب Gursimran Singh (575288)

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PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA. حسب Gursimran Singh (575288)

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Performance of various deep learning models from PyNoetic’s classification module on the Motor Imagery decoding task. حسب Gursimran Singh (575288)

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

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A typical BCI system depicting the flow and processing of EEG data. حسب Gursimran Singh (575288)

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Data_Sheet_1_Modified Particle Swarm Optimization Algorithms for the Generation of Stable Structures of Carbon Clusters, Cn (n = 3–6, 10).doc حسب Gourhari Jana (4015469)

"…<p>Particle Swarm Optimization (PSO), a population based technique for stochastic search in a multidimensional space, has so far been employed successfully for solving a variety of optimization problems including many multifaceted problems, where other popular methods like steepest descent, gradient descent, conjugate gradient, Newton method, etc. do not give satisfactory results. Herein, we propose a modified PSO algorithm for unbiased global minima search by integrating with density functional theory which turns out to be superior to the other evolutionary methods such as simulated annealing, basin hopping and genetic algorithm. …"

Data_Sheet_2_Modified Particle Swarm Optimization Algorithms for the Generation of Stable Structures of Carbon Clusters, Cn (n = 3–6, 10).doc حسب Gourhari Jana (4015469)

"…<p>Particle Swarm Optimization (PSO), a population based technique for stochastic search in a multidimensional space, has so far been employed successfully for solving a variety of optimization problems including many multifaceted problems, where other popular methods like steepest descent, gradient descent, conjugate gradient, Newton method, etc. do not give satisfactory results. Herein, we propose a modified PSO algorithm for unbiased global minima search by integrating with density functional theory which turns out to be superior to the other evolutionary methods such as simulated annealing, basin hopping and genetic algorithm. …"

Data_Sheet_1_Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health.PDF حسب Minhua Guo (18392646)

Step by step workflow for PRLF model training and data scoring. حسب John Prindle (10774286)

Cut point estimation. حسب Adrian Verster (5875283)

Parameter metrics in simulated communities. حسب Adrian Verster (5875283)

Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection حسب Samin Aref (4683934)

"…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. For accessing other networks used in the study, please refer to the article for references to the primary sources of those network data.…"

Gene content overlap in <i>RNF43 G659fs</i> mutation-specific pathways. حسب Alexis M. Thornton (11068403)

LBQANA python code + Merged Gene Expression Dataset from GSE10810, GSE17907, GSE20711, GSE42568, GSE45827, and GSE61304 for Breast Cancer Biomarker Discovery حسب M RN (9866504)

Search-based testing (Genetic Algorithm) - Chapter 11 of the book "Software Testing Automation" حسب Saeed Parsa (13893726)

"…</p> <p><br></p> <p>3. Algorithm</p> <p>Below is the main body of the test data generator program:</p> <p>  </p> <p>the main body of a Python program to generate test data for Python functions.…"

Who has ears, listen: Citizen Listening Program for disease prevention. حسب Ramiro García Pereira (2836310)

Example of a typical workflow to construct a network using NeKo. حسب Marco Ruscone (11747264)

Identifying cognitive impairment with story recall (Wilson et al., 2024) حسب Sarah C. Wilson (19370966)

"…</b> Discourse measures and descriptions from the CLAN software (including duration, MLU, type-token ratio, etc.).</p><p dir="ltr"><b>Supplemental Material S3.…"

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

Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. حسب Kevin Sawade (16726527)

"…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…"