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. …”

Test section including model of the aortic root with BHV and a flow sensor at the ascending aorta. by Bernhard Vennemann (7434353)

Subjects:

Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

The training process for PV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

The training process for AV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

The training process for TV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

The training process for MV data. (a) Training accuracy as a function of epochs. (b) Training loss as a function of epochs. by Hiam Alquran (17636906)

Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

Cleavage time as a function of scaled fiber diameter. by Roukayatou R. Ouedraogo (20460980)

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 finite element analysis coupled with user’s subroutine for changes in bone density. by Hassan Mehboob (8960273)

“…<p>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 finite element analysis coupled with user’s subroutine for changes in bone density.…”

Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

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

Subjects:

Valve during diastole with inserts creating an artificial leak. by Bernhard Vennemann (7434353)

Subjects:

Sinusoidal fit to the measurement data. by Bernhard Vennemann (7434353)

Subjects:

Steps of data preprocessing. by Bernhard Vennemann (7434353)

Subjects:

The phases of automated BHV monitoring. by Bernhard Vennemann (7434353)

Subjects:

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

Subjects:

Results from BELUGA Genetic Algorithm. by Andrew D. Marquis (10757660)

Training accuracy/loss as a function of epochs for different datasets. by Hiam Alquran (17636906)

A Safe and Simple Algorithm for Adding and Adjusting Mealtime Insulin to Basal-Only Therapy by Mary L. Johnson (6254417)