Performance of SVM model for various kernel functions. by Xueliang Guo (4797057)

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)

ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space by Koushik Naskar (7510592)

“…In order to overcome such shortcoming, we develop a generalized algorithm, “ADT” to generate the nonadiabatic equations through symbolic manipulation and to construct highly accurate diabatic surfaces for molecular processes involving excited electronic states. …”

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”

PathOlOgics_RBCs Python Scripts.zip by Ahmed Elsafty (16943883)

Presentation_1_Aberrant Whole-Brain Transitions and Dynamics of Spontaneous Network Microstates in Mild Traumatic Brain Injury.zip by Marios Antonakakis (8304126)

“…<p>Dynamic Functional Connectivity (DFC) analysis is a promising approach for the characterization of brain electrophysiological activity. …”

Parameters to configure the multi-staged vascularization using the PDCCO algorithm. by Eduardo G. Zilves (22209247)

Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network by Rajesh Kumar Thangavel (20591164)

“…<p>Brain tumors can cause difficulties in normal brain function and are capable of developing in various regions of the brain. …”

The Blood–Brain Barrier (BBB) Score by Mayuri Gupta (1886839)

“…An algorithm, designated “BBB Score”, composed of stepwise and polynomial piecewise functions, is herein proposed for predicting BBB penetration based on five physicochemical descriptors: number of aromatic rings, heavy atoms, MWHBN (a descriptor comprising molecular weight, hydrogen bond donor, and hydrogen bond acceptors), topological polar surface area, and pKa. …”

The Blood–Brain Barrier (BBB) Score by Mayuri Gupta (1886839)

“…An algorithm, designated “BBB Score”, composed of stepwise and polynomial piecewise functions, is herein proposed for predicting BBB penetration based on five physicochemical descriptors: number of aromatic rings, heavy atoms, MWHBN (a descriptor comprising molecular weight, hydrogen bond donor, and hydrogen bond acceptors), topological polar surface area, and pKa. …”

The Blood–Brain Barrier (BBB) Score by Mayuri Gupta (1886839)

“…An algorithm, designated “BBB Score”, composed of stepwise and polynomial piecewise functions, is herein proposed for predicting BBB penetration based on five physicochemical descriptors: number of aromatic rings, heavy atoms, MWHBN (a descriptor comprising molecular weight, hydrogen bond donor, and hydrogen bond acceptors), topological polar surface area, and pKa. …”

Fig 1 - by Anant Shinde (3954662)

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The top 2 ROI pairs contributing towards the classification of multi-electrode stimulation. by Anant Shinde (3954662)

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VAS tolerability scores (min = 0, max = 10) of all sessions of all participants. by Anant Shinde (3954662)

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Fig 6 - by Anant Shinde (3954662)

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Accuracy across different ROIs for the classification shown by various models. by Anant Shinde (3954662)

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Data preprocessing flow-chart. by Anant Shinde (3954662)

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Time taken for data processing up to prediction, varying the number of ROIs used. by Anant Shinde (3954662)

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Accuracy of models to classify different stimulations. by Anant Shinde (3954662)

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ROC and MCC across different ROIs for the classification shown by various models. by Anant Shinde (3954662)

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