Australian and regional temperature timeseries are available from 1910 to present (prior to 1910 Australian temperature observations are sparse and some were measured in non-standard ways ... and are ...

Abstract: Sparse code multiple access (SCMA) is a promising non-orthogonal ... we propose a variable modulation SCMA (VM-SCMA) that allows users to employ codebooks with different modulation orders.

Have you ever heard the person who talks about the weather on TV say that the weather is going to be variable close variableA named piece of data (often a number or text) stored in a computer’s ...

Complex industrial processes are characterized by dynamics, non-linearity, and multi-variable coupling, which present challenges for fault diagnosis. To address the limitations of traditional fault ...

(GDPO), a novel approach to optimize graph diffusion models for arbitrary (e.g., non-differentiable) objectives using reinforcement learning ... modify line 353 in "main_generate.py" to specify ...

It consists of approximately 2100 variables from more than 100 data sources related to Quality of Government ... You can use them for your analysis, graphs, teaching, and other academic-related and ...

Objective Disease activity both between and within patients with SLE is highly variable, yet factors driving this variability remain unclear. This study aimed to identify predictors of variability in ...

We’re taking steps to better understand the impacts of climate change on the economy and to reduce our environmental footprint.

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...

In a leap for urban ecology, researchers have unveiled a cutting-edge method to dynamically estimate seasonal tree heights in ...

Background: Electrocardiogram (ECG) provides a straightforward and non-invasive approach for various applications ... in electrocardiogram research to focus on the development process through ...