Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

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

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

Fitting flow of DAKM algorithm. by Xiaobing Chen (572034)

Subjects:

Data fitting and inferences of time-dependent parameters for BC using the VOCs-INN algorithm. by Wenxuan Li (2566450)

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

Flow diagram of FPA-WPA algorithm. by Jiayuan Wang (3765376)

Subjects:

Runtime of fitting algorithm (for single λ) on each of three real omics data sets. by Evan Gorstein (20553314)

Data fitting and time-dependent parameters inferences for five regions within BC using the VOCs-INN algorithm. by Wenxuan Li (2566450)

Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification. by Matteo Straccamore (15083799)

The goodness of fit criteria results in all algorithms for optimal hyperparameter values. by Sevtap Tırınk (22394716)

Proportion of simulated data with improved likelihood from using multiple restarts (Algorithm 1). by Jesse Wheeler (18462457)

Subjects: “…routinely applicable algorithm…”

The data used for fitting the magnetic levitation ball experiment. by Ziwei Wu (11386352)

Prediction of transmission rates , for two VOIs in five regions using the VOCs-INN algorithm. by Wenxuan Li (2566450)

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

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

Subjects:

RF Algorithm error rate of the model. by Halit Tutar (20678455)

“…<div><p>In this study, the effect of morphological traits on fresh herbage yield of sorghum x sudangrass hybrid plant grown in Konya province, which is the largest cereal production area in Turkey, was analyzed with some data mining methods. For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …”

Model surface plots in MARS algorithm. by Halit Tutar (20678455)

“…<div><p>In this study, the effect of morphological traits on fresh herbage yield of sorghum x sudangrass hybrid plant grown in Konya province, which is the largest cereal production area in Turkey, was analyzed with some data mining methods. For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …”

Statistical results of various algorithms. by ZeSheng Lin (20501356)

Subjects:

Algorithm parameter settings. by Yue Guo (695495)

GenSearch algorithm. by Tarun Khajuria (12117309)

Subjects: