Devdiscourse

AI-driven rainfall forecasting shows major gains in predicting flood-triggering storms

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Not all MMM tools are equal: Meridian, Robyn, Orbit, and Prophet explained

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
Scientific Research Publishing

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case Study of Guangzhou South Railway Station ()

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...

Understanding Fourier Analysis: Uncovering Patterns in Time Series Data

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.
IEEE

Physics-Informed LSTM-Based Time-Series Forecasting Model for Power Transformers

Abstract: The complexity of data and limited model generalization significantly hinder prediction accuracy. A physics-informed long short-term memory model with adaptive weight assignment (PILSTM-AWA) ...
IEEE

DiffTST: Diff Transformer for Multivariate Time Series Forecast

Abstract: Deep learning models employing the Transformer architecture have demonstrated exceptional performance in the field of multivariate time series forecasting research. However, these models ...
Gizmodo

Apple Watch Series 11 Is Selling Like the Previous Series 10 Model as It Hits Its Lowest Price for Christmas

This article features deals sourced directly by Gizmodo and produced independently of the editorial team. We may earn a commission when you buy through links on the site. Reading time 2 minutes If you ...