Latent state estimations for experimental data with time limit for subject 21. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 7. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 3. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 22. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 4. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 19. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 10. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 18. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 8. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 6. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 1. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 15. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 9. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 12. حسب Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 2. حسب Samiul Alam (18563323)

An exemplar procedure for activity flow modeling based on the direct and shortest paths at a network density of 15%. حسب Zhengdong Wang (35299)

Event-driven data flow processing. حسب Yixian Wen (12201388)

"…Subsequently, we implement an optimal binary tree decision-making algorithm, grounded in dynamic programming, to achieve precise allocation of elastic resources within data streams, significantly bolstering resource utilization. …"

Presentation_1_Modified GAN Augmentation Algorithms for the MRI-Classification of Myocardial Scar Tissue in Ischemic Cardiomyopathy.PPTX حسب Umesh C. Sharma (10785063)

"…Currently, there are no optimized deep-learning algorithms for the automated classification of scarred vs. normal myocardium. …"

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). …"

Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment حسب Jianfang Cao (1881379)

"…The MapReduce parallel programming model on the Hadoop platform is used to perform an adaptive fusion of hue, local binary pattern (LBP) and scale-invariant feature transform (SIFT) features extracted from images to derive optimal combinations of weights. …"