paper
2021
Extremes & hazards
Applications & impacts Application study
Classical ML (trees, GP, linear, kernels) Journal
2021-07-07
004
Jul 2021
Drumil Joshi, Fawzan Sayed, Harsh Jain et al.
Journal of University of Shanghai for Science and Technology
Cloud-deployed machine learning compares classifiers for predicting hurricane and cyclone occurrence over Pacific and Atlantic coasts, with map visualization; the methodological novelty is limited.
A Cloud Native Machine Learning based Approach for Detection and Impact of Cyclone and Hurricanes on Coastal Areas of Pacific and Atlantic Ocean
In one sentence. Cloud-deployed machine learning compares classifiers for predicting hurricane and cyclone occurrence over Pacific and Atlantic coasts, with map visualization; the methodological novelty is limited.
Labels
- Topic
- Extremes & hazards, Applications & impacts
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.51201/jusst/21/07149 OpenAlex:W3183020475
- Added
- 2026-10-22
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