GitHub

Hy 2 DL: Hydrological modeling using Deep Learning methods

Hy 2 DL is a python library to create hydrological models for rainfall-runoff prediction using deep learning methods. The repository includes implementations with Large-Sample Hydrology datasets such ...
IEEE

Random Undersampled Digital Elevation Model Super-Resolution Based on Terrain Feature-Aware Deep Learning Network

Abstract: The digital elevation model (DEM) provides important data support for geographic information analysis. However, due to the limitation of measurement cost and complex terrain, the collected ...
IEEE

Bagging System Performance Analysis Using Artificial Neural Network, Random Forest Regression, Linear Regression, and Support Vector Regression

Abstract: Agriculture is one of the most important sectors in the world because it provides commodities such as rice, cassava, corn, rubber, and palm oil. Urea fertilizer is essential for use in crops ...
The New York Times

A Scientific Achievement That’s Totally Random

Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can. By Alexander Nazaryan Researchers in Switzerland ...
The New York Times

U.S. Forest Service to Open Millions of Acres to Off-Road Vehicles, Memo Shows

The forthcoming order echoes President Trump’s decision to repeal executive orders that have protected other public lands from vehicles for decades. By Lisa Friedman Reporting from Washington The ...