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Information technology growth brings vast time-series data. Despite richness, challenges like redundancy emphasize the need for time-series data fusion research. Rough set theory, a valuable tool for ...
The TSForecasting project offers a comprehensive and integrated pipeline designed to Automate Time Series Forecasting applications. By implementing multivariate approaches that incorporate multiple ...
The Microsoft Finance Time Series Forecasting Framework, aka finnts or Finn, is an automated forecasting framework for producing financial forecasts. While it was built for corporate finance ...
Spiking neural networks (SNNs), inspired by the spiking behavior of biological neurons, provide a unique pathway for capturing the intricacies of temporal data. However, applying SNNs to time-series ...
Therefore, we present a novel framework that allows an end-to-end ASIC implementation of a low-power hardware for time series classification using NNs. This includes a neural architecture search (NAS) ...
Data cloud company Snowflake has signed a definitive agreement to acquire California-based time series forecasting company Myst.The financial details of the transaction were not disclosed. Over ...