Latent state estimations for experimental data with time limit for subject 16. by Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 20. by Samiul Alam (18563323)

Latent state estimations for experimental data with time limit for subject 5. by Samiul Alam (18563323)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf by Cecilia Lindig-León (7889777)

“…And we propose two new multilabel uses of the Common Spatial Pattern (CSP) algorithm to optimize the signal-to-noise ratio, namely MC2CMI and MC2SMI approaches. …”

Event-driven data flow processing. by 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. …”