Ditapis dengan
Integrating the artificial intelligence and hybrid machine learning algorithm…
The aim of the current work is to compare susceptibility maps of landslides produced using machine learning techniques i.e. multilayer perception neural nets (MLP), kernel logistic regression (KLR), random forest (RF), and multivariate adaptive regression splines (MARS); novel ensemble approaches i.e. MLP-Bagging, KLR-Bagging, RF-Bagging and MARS-Bagging in the Kurseong-Himalayan region. For th…
- Edisi
- Vol.3, December 2022
- ISBN/ISSN
- 2666-5441
- Deskripsi Fisik
- 14 hlm PDF, 5.975 KB
- Judul Seri
- Artificial Intelligence in Geosciences
- No. Panggil
- 551
Evaluating the performances of SVR and XGBoost for short-range forecasting of…
This research aims to forecast maximum temperatures and the frequency of heatwave days across four different temperature zones (Zone 1, 2, 3 and 4) in India. These four zones are categorized based on the 30-year average maximum temperatures (T30AMT) during the summer months of April, May, and June (AMJ). Two Machine Learning (ML) algorithms eXtreme Gradient Boosting (XGBoost) and Support Vector…
- Edisi
- Vol.24, December 2024
- ISBN/ISSN
- 2590-1974
- Deskripsi Fisik
- 13 hlm PDF, 11.612 KB
- Judul Seri
- Applied Computing and Geoscience - Open Access
- No. Panggil
- 551.136
Modeling the spatial pattern of sediment flow in lower Hugli estuary, West Be…
Suspended sediment concentration (SSC) information on the coastal waters is necessary for understanding and management of the estuarine environment. It serves as an indicator of coastal erosion and deposition. It is challenging for a macro-tidal estuary like the Hugli with a complex hydrodynamic condition and depth variations to estimate suspended sediment concentration by field observations on…
- Edisi
- Vol.8, December 2020
- ISBN/ISSN
- 2590-1974
- Deskripsi Fisik
- 12 hlm PDF, 3.894 KB
- Judul Seri
- Applied Computing and Geoscience - Open Access
- No. Panggil
- 551.136
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