Explainable deep unsupervised learning for flood monitoring and anomaly detection using multivariate DWLR sensors.
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| Title: | Explainable deep unsupervised learning for flood monitoring and anomaly detection using multivariate DWLR sensors. |
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| Authors: | Potharaju S; Department of CSE, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India. saiprasad.potharaju@sitpune.edu.in., Tambe SN; Department of Information Technology, K. K.Wagh Institute of Engineering Education & Research, Nashik, MH, India., Tirandasu RK; Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India., Kumar DA; Department of CSE, Lakireddy Bali Reddy College of Engineering, Mylavaram, India., Kiranmai B; Department of CSE(DS), Sreyas Institute of Engineering and Technology, Hyderabad, India., Kantipudi MVVP; Department of ETC, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India. |
| Source: | Scientific reports [Sci Rep] 2026 Jun 03. Date of Electronic Publication: 2026 Jun 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-026-55978-9 |
