A new soil-moisture retrieval strategy has improved the accuracy of satellite-based moisture mapping by combining microwave reflection signals with vegetation-structure information that conventional ...

Per today's advance PR, the move is being framed as a dose of high-octane for Oni's upcoming summer slate that will include the upcoming launches of New York Times best-selling creator Matt Kindt's ...

Centrality measures allow to identify important nodes in networked systems. An open question in network theory is the empirical observation that a node’s centrality—whose computation requires ...

We use Deno 2.0 for some functions because it is a bit more reliable with Typescript than Node. Unfortunately we observe that these functions have random cold start timeout errors. Because some of ...

Many types of economic problems require that we consider two variables at the same time. A typical example is the relation between price of a commodity and the demand or supply of that commodity. The ...

As such, investors for whom maximizing their income is not the highest priority or investors who are planning to hold their shares in a vehicle that does not boast any particular tax advantages may be ...

In recent years, neural networks have once again triggered an increased interest among researchers in the machine learning community. So-called deep neural networks model functions using a composition ...

Abstract: This paper proposes a computationally efficient and accurate method to solve probabilistic power flow (PPF) and its global sensitivity analysis (GSA) problems of power distribution systems.

Quantum annealing (QA) can be competitive to classical algorithms in optimizing continuous-variable functions when running on appropriate hardware, show researchers from Tokyo Tech. By comparing the ...

The benchmark tests show that the noise-free realization of QA can significantly outperform state-of-the-art classical algorithms. Quantum annealing (QA) is a cutting-edge algorithm that leverages the ...