UMAP and Tree Physiology Optimization for Effective Water Quality Management in Consumer Electronics

  • Brij B. Gupta
  • , Akshat Gaurav
  • , Shavi Bansal
  • , Jinsong Wu
  • , Varsha Arya
  • , Kwok Tai Chui

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2025 IEEE International Conference on Consumer Electronics, ICCE 2025
ISBN (Electronic)9798331521165
DOIs
Publication statusPublished - 2025
Event2025 IEEE International Conference on Consumer Electronics, ICCE 2025 - Las Vegas, United States
Duration: 11 Jan 202514 Jan 2025

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X
ISSN (Electronic)2159-1423

Conference

Conference2025 IEEE International Conference on Consumer Electronics, ICCE 2025
Country/TerritoryUnited States
CityLas Vegas
Period11/01/2514/01/25

Keywords

  • Consumer Electronics
  • SMOTE
  • Tree Physiology Optimization (TPO)
  • UMAP
  • Water Quality Management

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