Convergence curve of real power transmission line loss minimization by using (a) the HFPSO algorithm and (b) the PSO algorithm. حسب Abdullah Khan (377292)

Algorithm testing. حسب Ziad M. Ali (12516532)

الموضوعات:

Classification performance of four machine learning algorithms on the test set. حسب Maryam Ahmadzadeh (8590380)

The mAP for all algorithms and 80% of the data used for training. حسب Mohammad Amin Fraiwan (20469541)

The mAP for all algorithms and 50% of the data used for training. حسب Mohammad Amin Fraiwan (20469541)

The mAP for all algorithms and 60% of the data used for training. حسب Mohammad Amin Fraiwan (20469541)

Represention of the anneal schedules used as a function of the dimensionless anneal parameter <i>s</i>. حسب John Golden (9946327)

Benchmark functions. حسب Mingjun Li (178925)

الموضوعات:

3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. حسب Giacomo Janson (8138517)

Final assignment algorithm. حسب Negin Alisoltani (11949357)

Gillespie algorithm simulation parameters. حسب Nicholas H. Vitale (20469289)

"…Both the ensemble and stochastic models presented in this work have been verified using Monte Carlo molecular dynamic simulations that utilize the Gillespie algorithm. …"

Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN). حسب Solomon Shiferaw Beyene (9143178)

The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. حسب Solomon Shiferaw Beyene (9143178)

Testing performance comparison for different algorithms. حسب Roberto Bárcenas (13924220)

Training performance comparison for different algorithms. حسب Roberto Bárcenas (13924220)

Algorithm pseudocode. حسب Cheng-jie Chen (22272090)

الموضوعات:

Results on solving TSS using different evolutionary and greedy algorithms. حسب Alexander Andreev (16822333)

الموضوعات:

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.…"

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

3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. حسب Giacomo Janson (8138517)