Comparison of algorithms in two cases. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

Flow of the NSGA-II algorithm. حسب Yi Tao (178829)

الموضوعات: "…evolutionary genetic algorithm…"

ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space حسب Koushik Naskar (7510592)

"…The “ADT” program can be efficiently used to (a) formulate analytic functional forms of differential equations for ADT angles and diabatic potential energy matrix and (b) solve the set of coupled differential equations numerically to evaluate ADT angles, residue due to singularity­(ies), ADT matrices, and finally, diabatic potential energy surfaces (PESs). …"

Membership function of output for tank 1. حسب Tamiru Demelash Kassie (20678515)

Membership function of output for tank 2. حسب Tamiru Demelash Kassie (20678515)

An expectation-maximization algorithm for finding noninvadable stationary states. حسب Robert Marsland (8616483)

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics حسب Paolo Cifani (1575613)

"…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …"

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics حسب Paolo Cifani (1575613)

"…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …"

The used test functions in the evaluation. حسب Xuan Chen (158617)

Accuracy of the support vector machines for different proportion of test samples and different length of nodes used for training. حسب Abeer Aljohani (18497914)

الموضوعات:

The effect of test set size and number of nodes on the values of confusion matrix using SVM combined with the uniform window. حسب Abeer Aljohani (18497914)

الموضوعات:

Example of use of the slightly off-axis strategies. حسب Raul Castañeda (13932971)

Variations of loss functions versus epoch number. حسب Xueliang Guo (4797057)

Flowchart for the genetic algorithm used in this article. حسب Behnam Kia (6111551)

Algorithm. حسب Daniel Sanchez-Taltavull (11654630)

Associative memory paradigm used to train the feature decoders. حسب Sam Hall-McMaster (10343795)

الموضوعات:

Average function evaluation times of the three optimization algorithms. حسب Shuhui Yu (1535500)

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... حسب Ziyan Jin (21021976)

Algoritmo de clasificación de expresiones de odio por tipos en español (Algorithm for classifying hate expressions by type in Spanish) حسب Daniel Pérez Palau (11097348)

"…</li></ul><p dir="ltr"><b>File Structure</b></p><p dir="ltr">The code generates and saves:</p><ul><li>Weights of the trained model (.h5)</li><li>Configured tokenizer</li><li>Training history in CSV</li><li>Requirements file</li></ul><p dir="ltr"><b>Important Notes</b></p><ul><li>The model excludes category 2 during training</li><li>Implements transfer learning from a pre-trained model for binary hate detection</li><li>Includes early stopping callbacks to prevent overfitting</li><li>Uses class weighting to handle category imbalances</li></ul><p dir="ltr">The process of creating this algorithm is explained in the technical report located at: Blanco-Valencia, X., De Gregorio-Vicente, O., Ruiz Iniesta, A., & Said-Hung, E. (2025). …"

Eight commonly used benchmark functions. حسب Guangwei Liu (181992)

"…The proposed algorithm was evaluated on eight standard benchmark functions, CEC2019 benchmark functions, four engineering design problems, and a PID parameter optimization problem. …"