In the new paper, Zhang and his collaborators verified their approach by testing it on time-series data, ensuring that it produced a known underlying structure. Then, they applied it to ...

"New algorithm cuts through 'noisy' data to better predict tipping points." ScienceDaily. ScienceDaily, 27 April 2024. <www.sciencedaily.com / releases / 2024 / 04 / 240426165214.htm>.

Whether you’re trying to predict a climate catastrophe or mental health crisis, mathematics tells us to look for fluctuations. Changes in data, from wildlife population to anxiety levels, can be an ...