The proposed solution has been developed and tested based on a group of 40 subjects ... study by detailed clinical examination. The data for the study were collected with the use of miniature ...

🚩 2023/11/1: I have marked some recommended papers with 🌟 (Just my personal preference 😉). 🚩 2023/11/1: I have added a new category : models specifically designed for irregular time series. 🚩 ...

The problem of time series segmentation (TSS) is to find a meaningful segmentation of a time series (TS) that captures a data-generating ... (CD) diagram. Not significantly different algorithms are ...

Speedata, a Tel Aviv-based startup developing an analytics processing unit (APU) designed to accelerate big data analytic and AI workloads, has raised a $44 million Series B funding round ...

Therefore, the current research suffers from sensor under-killing problems due to the pessimistic consideration. To solve this problem, this work first considers the time-series sensing data to ...

Method: To address these limitations, we propose AMDCnet, a multi-scale-based time series ... sensors on San Francisco Bay Area freeways, spanning January 2015 to December 2016. • Electricity (Khan et ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Today, Snorkel AI announced general availability of two new product offerings on the Snorkel AI Data Development Platform: Snorkel Evaluate and Snorkel ...