Accuracy, sensitivity, specificity and F-score. by Solomon Shiferaw Beyene (9143178)

Procedure of the DCT-based EIT algorithm. by Rongqing Chen (249906)

Subjects:

Absolute error of blur length <i>L</i> from our proposed method. by Wei Zhou (24328)

Posterior for parameter <i>θ</i> of the uniform toy model for different weights in the ABC distance function. by Jonathan U. Harrison (5447603)

“…Metrics to evaluate the performance of Algorithm 2 are shown in (b), (c), and (d) as <i>N</i> varies resulting in different total numbers of simulations from the model. …”

Posterior for parameters <i>θ</i> of the bimodal toy model for different weights in the ABC distance function. by Jonathan U. Harrison (5447603)

“…<p>The posterior distribution for parameters <i>θ</i> = (<i>θ</i>₁, <i>θ</i>₂) of the bimodal toy model for different weights in the ABC distance function is shown in (a) and (b). …”

Posteriors for parameter <i>θ</i> in the simple diffusion model for different weights in the ABC distance function. by Jonathan U. Harrison (5447603)

S1 Dataset - by Hao Wu (65943)

Subjects:

Analysis of the limit cases of the sampling function. by Greta Grassmann (12418506)

Performance of the smooth-index algorithm for matrices with different densities. by Alexander Borst (32619)

“…B</b> Performance of the algorithm as a function of the number of neurons. Plotted is the fraction of non-zero entries in the upper triangle of the matrix in case of the original connectivity matrix before scrambling (in black), after out-degree sorting (in red) and after smooth-index sorting (in blue). …”

Example psychometric functions for observer DHB. by Daniel H. Baker (11559693)

Flowchart of improved FOX optimization algorithm. by Mahmood A. Jumaah (22272371)

“…Additionally, it achieved 880 wins, 228 ties, and 348 losses against 16 optimization algorithms across all involved functions and problems. …”

Shows the LL component of output from the wavelet filter function for normal, benign, and malignant lung cancer samples. by Tehnan I. A. Mohamed (16846175)

Search-based testing (Genetic Algorithm) - Chapter 11 of the book "Software Testing Automation" by 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.…”

Multi-scale detection of hierarchical community architecture in structural and functional brain networks by Arian Ashourvan (6685232)

“…Finally, we build an explicitly multimodal multiplex graph that combines both structural and functional connectivity in a single model, and we identify the topological scales where resting state functional connectivity and underlying structural connectivity show similar <i>versus</i> unique hierarchical community architecture. …”

Type-1 membership function for distance. by Seung-Min Ryu (21463891)

“…<div><p>In this study, we present an algorithm to estimate the distance between a vehicle and a target object using light from headlights captured by a camera. …”

Type-1 membership function for speed. by Seung-Min Ryu (21463891)

“…<div><p>In this study, we present an algorithm to estimate the distance between a vehicle and a target object using light from headlights captured by a camera. …”

Parameter settings for algorithms. by Guangwei Liu (181992)

“…In Case 1, the GJO-GWO algorithm addressed eight complex benchmark functions. …”

Parameter settings for algorithms. by Guangwei Liu (181992)

“…In Case 1, the GJO-GWO algorithm addressed eight complex benchmark functions. …”

Tables S1-S7 from The Mutation-Associated Neoantigen Functional Expansion of Specific T Cells (MANAFEST) Assay: A Sensitive Platform for Monitoring Antitumor Immunity by Ludmila Danilova (14930903)

Supplementary Data 1 from The Mutation-Associated Neoantigen Functional Expansion of Specific T Cells (MANAFEST) Assay: A Sensitive Platform for Monitoring Antitumor Immunity by Ludmila Danilova (14930903)