We propose a robust algorithm for constructing first return maps of dynamical systems from time series without the need for embedding. A first return map is typ

"Discover the latest advances in neuromorphic computing in this webinar hosted by APL Machine Learning. As demand grows for more powerful and energy-efficient artificial intelligence, neuromorphic technologies are emerging as a promising approach to ne...

Delay embedding methods are a staple tool in the field of time series analysis and prediction. However, the selection of embedding parameters can have a big imp

ToF-SIMS generates mountains of data, and developing analysis tools to sort through it can give researchers faster and more precise results.

Time-bin multiplexing reduces physical resource requirements and control complexity

Summer school, rheosamos, Rheology, Hellenic Society of Rheology, Department of Mathematics, 2026, Samos