The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…These methods are tested on both real and synthetic data, with the former taken from a network of air quality monitoring stations across California. …”

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

FIS image analysis using the semi-automatic algorithm. by Anna Demchenko (18449439)

Summary of the metrics of the different trained algorithms that performed best in the Testing process for each dataset. by Jaime B. Matas-Bustos (21772430)

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Summary of the metrics of the different trained algorithms based on mean and 95% confidence intervals (calculated using t-Student) for the Testing process in each dataset. by Jaime B. Matas-Bustos (21772430)

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

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Summary of the metrics of the different trained models foreach algorithm in each split for each dataset. by Jaime B. Matas-Bustos (21772430)

Schematic representation of semi-automated algorithm for organoids analyzing. by Anna Demchenko (18449439)

Kidney Transplant Biopsy-derived signature matrix of 18 cell phenotypes (KTB18) for deconvolution using the CIBERSORTx algorithm by Alexis Varin (20591600)

“…<p dir="ltr"><a href="https://www.nature.com/articles/s41587-019-0114-2" rel="noreferrer" target="_blank">CIBERSORTx</a> is an algorithm, accessible through a <a href="https://cibersortx.stanford.edu/index.php" rel="noreferrer" target="_blank">web portal</a>, designed to infer the cellular composition of bulk RNA-seq or microarray data, referred to as "mixture files". …”

Algorithm process. by Wei Cui (92129)

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

The Search process of the genetic algorithm. by Wenguang Li (6528113)

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The construction process of the FCM clustering algorithm. by Xini Fang (20861990)

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Effects of Nash equilibrium speed changes with the non-sensory motor algorithm on encounters, agent numbers, and payoffs. by Hiroyuki Ichijo (13891153)

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Effects of Nash equilibrium attack and defense behaviors with the sensory–motor algorithm on encounters, agent numbers, and payoffs. by Hiroyuki Ichijo (13891153)

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Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms by Kelechi Amamba (21022064)

“…<p dir="ltr">Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms</p><p dir="ltr">This study describes an empirical evaluation of 24 machine learning models, including Logistic Regression, Decision Trees, Random Forests, Support Vector Machines and Neural Networks using a highly imbalanced fraud dataset that reflects the real-world where the data was culled from. …”

Processed results from ECG data with the P-T algorithm. by Daehyun Kwon (11985629)

Multi-sensor fusion process and algorithm workflow. by Hongliang Zou (20707270)