A closed-loop, music-based brain-computer interface for emotion mediation - Fig 4 by Stefan K. Ehrlich (6475490)

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Exploration of Bioinspired Algorithms in Multithreshold Image Segmentation for Medical Images by Fernando Ramírez sarmiento (18359679)

“…<p dir="ltr">The brain is essential for human functioning, but it is vulnerable to multiple pathologies, including strokes, brain tumors, and other disorders that compromise its structure and function. …”

A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... by Hassan Mehboob (8960273)

Contrast enhancement of digital images using dragonfly algorithm by Soumyajit Saha (19726163)

“…The article deals with contrast enhancement as an optimization problem and uses the Dragonfly Algorithm (DA) to find the optimal grey-level intensity values. …”

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. …”

Consistency of model-derived predictive patterns as a function of sample diversity. by Oualid Benkarim (9707986)

Simplified schematic diagram of the serial two-photon microscope and data acquisition process. by Adam L. Tyson (10892822)

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Table_1_Identifying Mild Hepatic Encephalopathy Based on Multi-Layer Modular Algorithm and Machine Learning.DOCX by Gaoyan Zhang (450697)

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Architecture of the bottleneck 3D ResNet. by Adam L. Tyson (10892822)

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Overview of the initial cell candidate detection steps, from raw data to a cuboid of data fed into the classification network. by Adam L. Tyson (10892822)

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Architecture of the 3D ResNet. by Adam L. Tyson (10892822)

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Illustration of the cell detection process. by Adam L. Tyson (10892822)

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Out-of-distribution prediction and performance of predictive models as a function of sample diversity. by Oualid Benkarim (9707986)

Schematics for gmxapi operations. by M. Eric Irrgang (4487278)

gmxapi usage examples. by M. Eric Irrgang (4487278)

The workflow used to analyze imbalanced and balanced sequences. by Solomon Shiferaw Beyene (9143178)

Confusion matrices of machine learning models trained on data oversampled by SMOTE and data trained with class weights given to the loss function. by Lucas Teoh (12878206)

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

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Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

Comparison of the performance of the emulators as a function of the size of the training set (resolution) for the agent-based cellular automata (CA) model of brain tumours. by Andreas Christ Sølvsten Jørgensen (13911723)