Folder with all data and algorithms حسب Jorge Servert Lerdo de Tejada (22290001)

Algorithm of model development and validation. حسب Bethan Cracknell Daniels (20469396)

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

"…<p>In the top panel, we show the computation of the Fitness and Complexity algorithm. The Fitness of the entity <i>e</i>₁ is the technological Complexity sum of all the technology done by <i>e</i>₁. …"

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

Improve algorithm settings. حسب Hui Zhao (7395)

الموضوعات:

Comparison of different optimization algorithms. حسب Hang Zhao (143592)

الموضوعات: "…crayfish optimization algorithm…"

Algorithm steps for house price prediction model. حسب Xuan Wang (55634)

الموضوعات:

Ranking of ML algorithms. حسب Yasemin Ayaz Atalan (21989402)

"…The RF algorithm performed best with the lowest mean absolute percentage error (MAPE, 0.084%), mean absolute error (MAE, 0.035), root mean square error (RMSE, 0.063), and mean squared error (MSE, 0.004) values in the test dataset. …"

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

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

الموضوعات:

Algorithmic experimental parameter design. حسب 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. …"

Flow diagram of the MAO algorithm. حسب Mohamed Irhuma (20818274)

"…Furthermore, the K-nearest Neighbor imputation technique fills the missing values, which preserves the data integrity as well as reliability. The experimental outcomes attained using the proposed model achieved a correlation of 0.929, Mean Square Error (MSE) of 7.34, Mean Absolute Error of 1.76, and Root Mean Square Error (RMSE) of 2.71 for the supply chain analysis dataset. …"

The overview of the ML algorithms’ flowchart. حسب Yasemin Ayaz Atalan (21989402)

"…The RF algorithm performed best with the lowest mean absolute percentage error (MAPE, 0.084%), mean absolute error (MAE, 0.035), root mean square error (RMSE, 0.063), and mean squared error (MSE, 0.004) values in the test dataset. …"

Clustering results obtained using K-means. حسب Sajida Perveen (8256378)

"…This research proposes an unsupervised approach using clustering algorithms, including Gaussian Mixture Model (GMM), K-means, and K-medoids, to eliminate the need for manual labeling in detecting fake news. …"

Spatial spectrum estimation for three algorithms. حسب 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. …"

Comparison of Point Cloud rigid registration algorithms. حسب Morena Raiola (22439390)

Mean SHAP value of feature importance of early childhood development. حسب Tsion Mulat Tebeje (13955254)

الموضوعات:

The structure of genetic algorithm (GA). حسب Ali Akbar Moosavi (17769033)

"…Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …"

The speed of anchor-based algorithms. حسب Olarewaju Mubashiru Lawal (14710251)

The speed of anchor-free algorithms. حسب Olarewaju Mubashiru Lawal (14710251)