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.
GitHub

Language-agnostic AST analysis and dependency visualization for modern development workflows

CodeGraph is a powerful open source tool that brings advanced computer science principles to everyday development through Abstract Syntax Tree (AST) analysis, dependency graph visualization, and ...
IEEE

Enhancing the Transferability of Adversarial Examples With Random Diversity Ensemble and Variance Reduction Augmentation

Abstract: Currently, deep neural networks (DNNs) are susceptible to adversarial attacks, particularly when the network's structure and parameters are known, while most of the existing attacks do not ...
IEEE

DataWink: Reusing and Adapting SVG-based Visualization Examples with Large Multimodal Models

Abstract: Creating aesthetically pleasing data visualizations remains challenging for users without design expertise or familiarity with visualization tools. To address this gap, we present DataWink, ...