The minimal data set 3. by Esete Habtemariam Fenta (9727779)

The minimal data set 10. by Esete Habtemariam Fenta (9727779)

The minimal data set 14. by Esete Habtemariam Fenta (9727779)

The minimal data set 12. by Esete Habtemariam Fenta (9727779)

The minimal data set 11. by Esete Habtemariam Fenta (9727779)

The minimal data set 9. by Esete Habtemariam Fenta (9727779)

The minimal data set 2. by Esete Habtemariam Fenta (9727779)

The minimal data set 15. by Esete Habtemariam Fenta (9727779)

The minimal data set 21. by Esete Habtemariam Fenta (9727779)

The minimal data set 18. by Esete Habtemariam Fenta (9727779)

The minimal data set 20. by Esete Habtemariam Fenta (9727779)

The minimal data set 5. by Esete Habtemariam Fenta (9727779)

The minimal data set 17. by Esete Habtemariam Fenta (9727779)

The minimal data set 19. by Esete Habtemariam Fenta (9727779)

The minimal data set 4. by Esete Habtemariam Fenta (9727779)

The minimal data set 13. by Esete Habtemariam Fenta (9727779)

The minimal data set 7. by Esete Habtemariam Fenta (9727779)

Testing set error. by Xiangjuan Liu (618000)

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”

Setting up for VFSS image. by Rie Asayama (693361)

Comparison of the Classification performance of the proposed model calculated on the test set with state-of-the-art Approaches. by Muhammad Zubair (728141)