IoT-Based Monitoring and Prediction of Water Quality Using Swin-Transformer and Depthwise Separable Convolutional Neural Network Optimized by Circulatory System-Based Optimization.
- DOI
- 10.1002/wer.70466
- Published
- 2026 Jul
- Container
- Water environment research : a research publication of the Water Environment Federation
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1002/wer.70466,
title = {IoT-Based Monitoring and Prediction of Water Quality Using Swin-Transformer and Depthwise Separable Convolutional Neural Network Optimized by Circulatory System-Based Optimization.},
author = {Gunti NR and Subrahmanyam K},
year = {2026},
journal = {Water environment research : a research publication of the Water Environment Federation},
doi = {10.1002/wer.70466},
url = {https://doi.org/10.1002/wer.70466}
}RIS
TY - JOUR TI - IoT-Based Monitoring and Prediction of Water Quality Using Swin-Transformer and Depthwise Separable Convolutional Neural Network Optimized by Circulatory System-Based Optimization. AU - Gunti NR AU - Subrahmanyam K PY - 2026 JO - Water environment research : a research publication of the Water Environment Federation DO - 10.1002/wer.70466 UR - https://doi.org/10.1002/wer.70466 ER -
APA
NR, G., & K, S. (2026). IoT-Based Monitoring and Prediction of Water Quality Using Swin-Transformer and Depthwise Separable Convolutional Neural Network Optimized by Circulatory System-Based Optimization.. Water environment research : a research publication of the Water Environment Federation. https://doi.org/10.1002/wer.70466
Source records
- pubmed · retrieved 2026-09-26T03:15:01.737Z