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.
The Blogs | The Times of Israel

Phase Transitions in Human History

Human history is not governed by thermodynamic laws. Still, the vocabulary of metastability, tipping points, and critical ...
The Business Journals

Local CEO: How AI transforms tasks, needs human context

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. The Germantown firm has found ways to use AI tools to speed ...
IEEE

Fractional number-theoretic transforms based on matrix functions

Abstract: In this paper, we introduce fractional number-theoretic transforms (FrNTT) based on matrix functions. The approach, which is a kind of finite field extension of the method presented in [1], ...
IEEE

Estimation and Classification of Fault Using Wavelet Transforms and Radial Basis Function Neural Network (RBFNN)

Abstract: This project describes the design and implementation of fault estimation and classification in the 33-bus transmission system consists of diesel power generator, wind generator, PV generator ...