Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 9 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Solar photovoltaic module multi-class anomaly detection using MobileNet architecture with skip connections

Related

  1. Panel-Aware Local Background Filtering for Photovoltaic Thermal Anomaly Detection and Automatic Bounding-Box Pre-Annotation
    Sensors (Basel, Switzerland)Peer-reviewedCC BYFull textEurope PMC
  2. MFPN-ASPP: MobileNet feature pyramid with ASPP for photovoltaic panel defect segmentation
    Nivin Galal, El Said A. Marzouk, Hossam EL-Din Moustafa +2
    Scientific ReportsPeer-reviewedCC BY 4.0Full textCrossref
  3. A blockchain-enhanced CNN architecture for robust anomaly detection in industrial and IoT cyber-physical systems
    Raja Waseem Anwar, Mohammad Abrar, Abdu Salam +1
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCrossref
  4. Cloud Cost Intelligence: An Autonomous FinOps Architecture with Dual-Stage Time-Series Anomaly Detection and Safety-Gated Cloud Remediation
    Shaurya Goel, Samyukta Sreekanth, Poojitha Madan
    ZenodoPreprintCC BY 4.0Full textZenodo
  5. HECA-MobileNet: an explainable lightweight attention-based deep learning framework for custard apple disease detection
    Kothakota Naveen, D. Ajitha
    Scientific ReportsPeer-reviewedCC BYFull textPlant biologyDOAJ
BibTeX
@article{bhetalam2026solar,
  title = {{Solar photovoltaic module multi-class anomaly detection using MobileNet architecture with skip connections}},
  author = {Avinash Bhetalam and Kanasottu Anil Naik},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-78448-8},
  url = {https://www.nature.com/articles/s41598-026-78448-8},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Solar photovoltaic module multi-class anomaly detection using MobileNet architecture with skip connections
AU  - Avinash Bhetalam
AU  - Kanasottu Anil Naik
PY  - 2026
DA  - 2026/10/28
JO  - Scientific Reports
DO  - 10.1038/s41598-026-78448-8
UR  - https://www.nature.com/articles/s41598-026-78448-8
SN  - 2045-2322
ER  -