Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection حسب Samin Aref (4683934)

"…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. …"

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

HIV exposure risk algorithm. HIV exposure risk algorithm based on available data from the Tonse Padmozi trial. حسب Anna M. Leone (22486372)

Running memory of the algorithms. حسب Yanju Zhang (437336)

Training algorithm flow. حسب Xing Chen (140292)

"…However, these statistical methods require collecting data from the entire research area, which consumes a significant amount of manpower and material resources. …"

Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm and Gompertz model. حسب Turgay Şengül (12801990)

"…<p>Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm and Gompertz model.…"

Algorithm detection steps. حسب José M. Rivera-Arbeláez (12418512)

Visual depiction of the MSA algorithm. حسب Kayson Fakhar (12890364)

Visual depiction of the PCIA algorithm. حسب Kayson Fakhar (12890364)

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

"…This paper introduces an improved variation of the FOX optimization algorithm (FOX), termed Improved FOX (IFOX), incorporating a new adaptive method using a dynamically scaled step-size parameter to balance exploration and exploitation based on the current solution’s fitness value. …"

Feature selection algorithm. حسب Mahmoud Zeydabadinezhad (12289570)

"…Our analysis pipeline included pre-processing steps, feature extraction from both time and frequency domains, a voting algorithm for selecting features, and model training and validation. …"

Sensitivity analysis of the TV-BayesOpt algorithm performance at tracking a periodic temporal drift when the period of the drift is offset from the covariance function period anticipated by the TV-BayesOpt algorithm. حسب John E. Fleming (8533956)

"…<p>The performance of a scheduler (green line), the TV-BayesOpt with a periodic temporal covariance function (purple line) and the TV-BayesOpt with a periodic and smooth forgetting covariance algorithm were estimated by calculating the AUC value for the associated cumulative regret plot for each implementation at different offset in the true temporal period.…"

Efficient algorithms to discover alterations with complementary functional association in cancer حسب Rebecca Sarto Basso (6728921)

"…We provide analytic evidence of the effectiveness of UNCOVER in finding high-quality solutions and show experimentally that UNCOVER finds sets of alterations significantly associated with functional targets in a variety of scenarios. In particular, we show that our algorithms find sets which are better than the ones obtained by the state-of-the-art method, even when sets are evaluated using the statistical score employed by the latter. …"

Algorithm for matching a DICOM file obtained from PACS with a radiology report collected from HIS. حسب Thao Nguyen (51638)

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

Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy حسب Yujin Wu (2901128)

الموضوعات:

Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy حسب Yujin Wu (2901128)

الموضوعات:

Pseudocode of the BBAC_I Algorithm. حسب Zezhi Lin (22521663)

Execution Steps of the EOF Algorithm. حسب Zezhi Lin (22521663)

Algorithm of the brightness scale calibration experiment. حسب Krzysztof Petelczyc (3954203)

"…<p>In the algorithm, the following variables were used: “I” denotes the current luminous intensity of the reference diode, “inc” denotes the current difference between reference and target diode luminous intensity; “cnt” is the current number of performed trials, while “correct” is a counter of correct answers in cnt trials, both of them are counted separately for every settings of I and inc. …"