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)

Thesis-RAMIS-Figs_Slides by Felipe Santibañez-Leal (10967991)

“…In this direction, the option of estimating the statistics of the model directly from the training image (performing a refined pattern search instead of simulating data) is a very promising.<br><br>Finally, although the developed concepts, ideas and algorithms have been developed for inverse problems in geostatistics, the results are applicable to a wide range of disciplines where similar sampling problems need to be faced, included but not limited to design of communication networks, optimal integration and communication of swarms of robots and drones, remote sensing.…”

Steps in the extraction of 14 coordinates from the CT slices for the curved MPR. by Linus Woitke (22783534)

“…Protruding paths are then eliminated using graph-based optimization algorithms, as demonstrated in f). …”

Flowchart scheme of the ML-based model. by Noshaba Qasmi (20405009)

Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP by Xiaoyuan Wang (492534)

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