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                             21 results found
no title author magazine year volume issue page(s) type
1 A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases Niraula, Poshan

36 8 p. 2265-2283
article
2 A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information Tian, Di

36 8 p. 2353-2375
article
3 A method to increase the number of positive samples for machine learning-based urban waterlogging susceptibility assessments Tang, Xianzhe

36 8 p. 2319-2336
article
4 Analysis of precipitation dynamics at different timescales based on entropy theory: an application to the State of Ceará, Brazil Rolim, Larissa Zaira Rafael

36 8 p. 2285-2301
article
5 A new picking algorithm based on the variance piecewise constant models D’Angelo, Nicoletta

36 8 p. 2101-2113
article
6 A PCA-based clustering algorithm for the identification of stratiform and convective precipitation at the event scale: an application to the sub-hourly precipitation of Sicily, Italy Sottile, Gianluca

36 8 p. 2303-2317
article
7 Bayesian time-varying occupancy model for West Nile virus in Ontario, Canada Temple, Seth D.

36 8 p. 2337-2352
article
8 Data-driven approaches for runoff prediction using distributed data Han, Heechan

36 8 p. 2153-2171
article
9 From scenario-based seismic hazard to scenario-based landslide hazard: fast-forwarding to the future via statistical simulations Lombardo, Luigi

36 8 p. 2229-2242
article
10 From scenario-based seismic hazard to scenario-based landslide hazard: rewinding to the past via statistical simulations Luo, Luguang

36 8 p. 2243-2264
article
11 Geostatistical based framework for spatial modeling of groundwater level during dry and wet seasons in an arid region: a case study at Hadat Ash-Sham experimental station, Saudi Arabia Budiman, Jaka S.

36 8 p. 2085-2099
article
12 Horizontal grid spacing comparison among Random Forest algorithms to nowcast Cloud-to-Ground lightning occurrence La Fata, Alice

36 8 p. 2195-2206
article
13 On the prediction of landslide occurrences and sizes via Hierarchical Neural Networks Aguilera, Quinton

36 8 p. 2031-2048
article
14 Solving three major biases of the ETAS model to improve forecasts of the 2019 Ridgecrest sequence Grimm, Christian

36 8 p. 2133-2152
article
15 Spatiotemporal data science: theoretical advances and applications Amato, Federico

36 8 p. 2027-2029
article
16 Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential Amato, Federico

36 8 p. 2049-2069
article
17 Stacking ensemble of deep learning methods for landslide susceptibility mapping in the Three Gorges Reservoir area, China Li, Wenjuan

36 8 p. 2207-2228
article
18 Statistical spatiotemporal analysis of hydro-morphological processes in China during 1950–2015 Wang, Nan

36 8 p. 2377-2397
article
19 Temporal downscaling of precipitation from climate model projections using machine learning Kajbaf, Azin Al

36 8 p. 2173-2194
article
20 Unified landslide hazard assessment using hurdle models: a case study in the Island of Dominica Bryce, Erin

36 8 p. 2071-2084
article
21 Using data-driven algorithms for semi-automated geomorphological mapping Giaccone, Elisa

36 8 p. 2115-2131
article
                             21 results found
 
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