EurekAlert!

LSTM resolves the long-standing trade-off between sensitivity and measurement range

Researchers in China propose and experimentally demonstrates a novel, deep learning-driven spectral recognition strategy, ...
Investopedia

How to Use a Tree Diagram for Probability and Decision-Making

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
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 ...
IEEE

Time-Aware LSTM Neural Networks for Dynamic Personalized Recommendation on Business Intelligence

Abstract: Personalized recommendation plays a critical role in providing decision-making support for product and service analysis in the field of business intelligence. Recently, deep neural ...
IEEE

Long-Term Time Series Forecasting With Multilinear Trend Fuzzy Information Granules for LSTM in a Periodic Framework

Abstract: Considerable research achievements have been made in utilizing information granulation as an effective technique for addressing long-term time-series forecasting. However, existing studies ...
GitHub

A modern diagram scripting language that turns text to diagrams.

The most convenient way to use D2 is to just run it as a CLI executable to produce SVGs from .d2 files. You can run the install script with --dry-run to see the ...