TY - GEN
T1 - UMAP and Tree Physiology Optimization for Effective Water Quality Management in Consumer Electronics
AU - Gupta, Brij B.
AU - Gaurav, Akshat
AU - Bansal, Shavi
AU - Wu, Jinsong
AU - Arya, Varsha
AU - Chui, Kwok Tai
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Leveraging UMAP for feature selection and Tree Physiology Optimization (TPO) for hyperparameter tuning, we proposed model for efficient water quality control in consumer electronics. We balanced the data with SMOTE from a Kaggle water quality dataset and using UMAP to find important characteristics. The TPO method then was used to maximize the parameters of the deep learning model. With an eye on few false positives, our algorithm was very accurate in spotting clean water. Still, the confusion matrix shows that there are difficulties precisely identifying dangerous water.
AB - Leveraging UMAP for feature selection and Tree Physiology Optimization (TPO) for hyperparameter tuning, we proposed model for efficient water quality control in consumer electronics. We balanced the data with SMOTE from a Kaggle water quality dataset and using UMAP to find important characteristics. The TPO method then was used to maximize the parameters of the deep learning model. With an eye on few false positives, our algorithm was very accurate in spotting clean water. Still, the confusion matrix shows that there are difficulties precisely identifying dangerous water.
KW - Consumer Electronics
KW - SMOTE
KW - Tree Physiology Optimization (TPO)
KW - UMAP
KW - Water Quality Management
UR - https://www.scopus.com/pages/publications/105006510312
U2 - 10.1109/ICCE63647.2025.10929989
DO - 10.1109/ICCE63647.2025.10929989
M3 - Conference contribution
AN - SCOPUS:105006510312
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
BT - 2025 IEEE International Conference on Consumer Electronics, ICCE 2025
T2 - 2025 IEEE International Conference on Consumer Electronics, ICCE 2025
Y2 - 11 January 2025 through 14 January 2025
ER -