Characteristics of training dataset used. by Muhammad Usman Tariq (11022141)

Subjects:

Qualitative Analysis of Real Drug Evidence Using DART-MS and the Inverted Library Search Algorithm by Edward Sisco (1548589)

“…However, these newer analytical platforms require new computational methods to best make use of the collected data. The inverted library search algorithm (ILSA) is a recently developed method designed specifically for working with mass spectra of mixtures collected with DART-MS and has been implemented as a function in the NIST/NIJ DART-MS data interpretation tool (DIT). …”

Qualitative Analysis of Real Drug Evidence Using DART-MS and the Inverted Library Search Algorithm by Edward Sisco (1548589)

“…However, these newer analytical platforms require new computational methods to best make use of the collected data. The inverted library search algorithm (ILSA) is a recently developed method designed specifically for working with mass spectra of mixtures collected with DART-MS and has been implemented as a function in the NIST/NIJ DART-MS data interpretation tool (DIT). …”

Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set? by Minyi Su (1425976)

“…Model scoring functions were derived with these machine-learning algorithms on various training sets selected from over 3700 protein–ligand complexes in the PDBbind refined set (version 2016). …”

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

Modifications and the character values used in the training data. by Muhammad Usman Tariq (11022141)

Subjects:

Average runtime for all algorithms on benchmark functions (in second). by Shuhan Du (13955497)

Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms. by Tehnan I. A. Mohamed (16846175)

“…<p>Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.…”

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

Number of offspring as a function of the number of mismatches for the best couple (blue) and the second-best couple (red) found by APIS parentage assignment. by Julien Roche (611898)

Results of searching performance of the improved NAG algorithm on Rosenbrock function, Ackley function, and Rastrigin function. by Rui Zhang (13940)

Results of searching performance of different algorithm models on the Rosenbrock function, Ackley function, and Rastrigin function. by Rui Zhang (13940)

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz by Faizan Ali (21689861)

Subjects:

Comparative analysis of WordNet replacement impact on data distribution. by Enock Niyonkuru (21246879)

Results of searching performance of different algorithm models on the Sphere function and Griewank function. by Rui Zhang (13940)

Results of searching performance of the improved NAG algorithm on Sphere function and Griewank function. by Rui Zhang (13940)

Diagram of the algorithm used during the training phase. by Ana P. Arantes (17131753)

Flowchart of DAPF-RRT algorithm. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Performance comparison of different algorithms. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

eVIP identifies functional differences between two RNF43 frameshift mutations. by Alexis M. Thornton (11068403)

Subjects: