The refracted opposition-based learning mechanism. by Yang Guo (399435)

Subjects:

Decrease in loss during the training process. by Muhammad Idrees (92773)

Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

Subjects:

Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)

Subjects:

The top 10 putative metabolites with the largest negative fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

The top 10 putative metabolites with the largest positive fold change between normal and thin cows. by Bhuripit Saraphol (20855573)

Accuracy of multiple classifiers with a deep-learning-based feature set by Afira Aslam (21433666)

Subjects:

Cross-lagged panel model based on physical activity, aggressive behavior and Chinese language learning. by Zixia Bu (21475019)

Salt chemotaxis learning assay. by Masahiro Tomioka (430683)

Youthful systemic milieu in young recipients decreased apoptosis and oxidative stress damage in allografts, and promoted proliferation. by Chengjun Yu (12136227)

Cross-lagged panel model consistency test based on physical activity, aggressive behavior and Chinese language learning. by Zixia Bu (21475019)

Oviduct Glycoprotein 1 (OVGP1) Diagnoses Polycystic Ovary Syndrome (PCOS) Based on Machine Learning Algorithms by Fengjuan Wang (768949)

Time-based splitting strategy and forecast horizons. by Thierry Jean (20691795)

Organic solvent exposure causes defects in salt chemotaxis learning. by Masahiro Tomioka (430683)

Project summary: Team Based Learning tutorials in S248 by Kate Nixon (18466555)

“…The project will implement some elements of the team-based learning (TBL) approach¹ to deliver tutorials with a greater student focus and an emphasis on building working relationships with members of a team. …”

Hybrid imputation of missing values using KNN on MEWMA-based adaptive process control by Yijun Jiang (1852231)

“…When dealing with data fluctuation, we assign a higher weight to the KNN method for its sensitivity, while the EWMA method is preferred for stationary data. …”

The motor torque curves of load increase/decrease (A) the load of 10 N • m (B) the load of 20 N • m. by Taochang Li (20642935)

The motor speed curves of load increase/decrease (A) the load of 10 N • m (B) the load of 20 N • m. by Taochang Li (20642935)

AI KRegression by CHIN-CHENG CHU (20718575)

Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)