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)

Validation of image processing steps and metric results using images of a microfluidic device. by Gavrielle R. Untracht (11820311)

Solubility Prediction of Different Forms of Pharmaceuticals in Single and Mixed Solvents Using Symmetric Electrolyte Nonrandom Two-Liquid Segment Activity Coefficient Model by Getachew S. Molla (6416744)

“…Moreover, a design of experiments is included in the methodology to generate and use experimental data appropriately for model parameter regression and model validation. …”

DataSheet1_Applying the Hubbard-Stratonovich Transformation to Solve Scheduling Problems Under Inequality Constraints With Quantum Annealing.pdf by Sizhuo Yu (11429743)

“…Its current hardware implementation relies on D-Wave’s Quantum Processing Units, which are limited in terms of number of qubits and architecture while being restricted to solving quadratic unconstrained binary optimization (QUBO) problems. …”

Design and implementation of the Multiple Criteria Decision Making (MCDM) algorithm for predicting the severity of COVID-19. by Jiaqing Luo (10975030)

“…<p>(A). The MCDM algorithm-Stage 1. Preprocessing, this stage is the process of refining the collected raw data to eliminate noise, including correlation analysis and feature selection based on P values. …”