As the world faces its largest crisis of displaced people since World War II, a new algorithm developed by Stanford researchers could help countries resettle refugees in a way that boosts their ...

Crowdsourcing and data integration algorithms represent an evolving interdisciplinary field that combines human intelligence with computational methods to enhance data processing and decision support.

The authors of this paper deal with the development of a Robust Position Unit (RPU) based on the real-time implementation of an advanced positioning algorithm. The RPU uses a tightly coupled technique ...

A new machine learning algorithm could help governments and resettlement agencies find the best places for refugees to relocate, depending on their particular skills and backgrounds. As the world ...

This article discusses the latest advancements in the data integration industry and how organisations can successfully integrate these technologies into their existing data strategy. In the age of big ...

Monte Carlo integration – the process of numerically estimating the mean of a probability distribution by averaging samples – is used in financial risk analysis, drug development, supply chain ...

A team of computational biologists has developed an algorithm that can 'align' multiple sequencing datasets with single-cell resolution. The new method has implications for better understanding how ...

According to Linear Technology’s Jim Williams, “The unfortunate relationship between servo systems and oscillators is very apparent in thermal control systems.” (Linear Applications Handbook, 1990).