paper
2020
Extremes & hazards
Applications & impacts Application study
CNN / U-Net0–6 h Journal
2020-07-01
012
Jul 2020
Chih‐Chiang Wei
Water Resources Management
Deep CNN real-time system for evaluating extreme rainfall to support construction-industry decisions; the abstract is missing, so details are limited.
Real-time Extreme Rainfall Evaluation System for the Construction Industry Using Deep Convolutional Neural Networks
In one sentence. Deep CNN real-time system for evaluating extreme rainfall to support construction-industry decisions; the abstract is missing, so details are limited.
Labels
- Topic
- Extremes & hazards, Applications & impacts
- Type
- Application study
- Method
- CNN / U-Net
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Other
- Status
- Pre-operational / experimental
- Identifiers
- DOI:10.1007/s11269-020-02580-x OpenAlex:W3038356744
- Added
- 2026-10-22
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