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.
Forbes

How To Navigate The New Frontier Of Market Segmentation

In today’s competitive market, companies must rethink how they connect with customers. Market segmentation—the practice of dividing a broad market into subgroups based onshared characteristics—has ...
Scientific Research Publishing

LRTACF-NET: Lowest-Resolution Temporal Attention and Cross Feedback for Multi-Temporal Crop Classification ()

1 Institute of Quantitative & Technological Economics, Chinese Academy of Social Sciences, Beijing, China. 2 Institute of Acoustics, Chinese Academy of Sciences, Beijing, China. 3 Lanyun Technology ...
Business Wire

Elisity Raises $37M Series B to Fuel AI Innovation in Identity-Based Microsegmentation

Identity-based approach to microsegmentation speeds adoption in OT, IoT and hybrid environments such as healthcare and critical infrastructure, and applies AI to deflect emerging cyber threats SAN ...
IEEE

Multi-Scale Time Series Segmentation Network Based on Eddy Current Testing for Detecting Surface Metal Defects

Abstract: In high-risk industrial environments like nuclear power plants, precise defect identification and localization are essential for maintaining production stability and safety. However, the ...
GitHub

[ENH] window based time series segmentation via clustering - restored branch

benHeid Awaiting requested review from benHeid benHeid is a code owner felipeangelimvieira Awaiting requested review from felipeangelimvieira felipeangelimvieira is a code owner fnhirwa Awaiting ...