Baseline one-class SVM model. by Bernhard Vennemann (7434353)

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Bar plots of MCI for different AR scenarios. by Bernhard Vennemann (7434353)

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Steps of data preprocessing. by Bernhard Vennemann (7434353)

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Principle of novelty detection in cardiac flow patterns. by Bernhard Vennemann (7434353)

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Mild AR scenario measurement overlaid onto the baseline model. by Bernhard Vennemann (7434353)

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BNA Neuromarker scores as a function of LEDD. by Sharon Hassin-Baer (420354)

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Classification accuracy as a function of random walk length. by Inon Zuckerman (8399517)

Similarity between the allegiance matrices of the multiplex SC-FC graph, the FC graph alone, and the SC graph alone, as a function of the topological scale for the group. by Arian Ashourvan (6685232)

The phase-field function for three different network configurations considered in this work. by Martina Bukač (20161460)

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

Optimization Performance Comparison of Metaheuristic Algorithms. by Xie Qiu (13243770)

Comparison of performance obtained by our approach with other state-of-the-art algorithms. by Sajad Mousavi (6672425)

Average classification accuracies for fft and stack methods, LSTM, Bi-LSTM, and CNN algorithms. by Jamila Akhter (21144252)

Data_Sheet_1_Prediction of motor function in patients with traumatic brain injury using genetic algorithms modified back propagation neural network: a data-based study.docx by Hui Dang (4396087)

“…</p>Conclusion<p>The genetic algorithms modified back propagation neural network can predict motor function in patients with traumatic brain injury, which can be used as a reference for risk and prognosis assessment and guide clinical decision-making.…”

Data_Sheet_1_Prediction of motor function in patients with traumatic brain injury using genetic algorithms modified back propagation neural network: A data-based study.docx by Hui Dang (4396087)

“…</p>Conclusion<p>The genetic algorithms modified back propagation neural network can predict motor function in patients with traumatic brain injury, which can be used as a reference for risk and prognosis assessment and guide clinical decision-making.…”

Generating the PSC kernel using a double exponential function. by Alireza Ghadimi (13839874)

Classification accuracy as a function of the amount of training data. by Dovilė Kurmanavičiūtė (21072549)

Local magnetization and susceptibility as a function of temperature from Metropolis simulations with the global archetype model. by Giulio Ruffini (383994)

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

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