IEEE

Data Generation for Enhancing EEG-Based Emotion Recognition: Extracting Time-Invariant and Subject-Invariant Components With Contrastive Learning

Abstract: The utilization of Artificial Intelligence for Generative Content (AIGC) has emerged as an effective and sophisticated approach for generating synthetic Electroencephalography (EEG) signals.
IEEE

Extracting Diurnal Activity Patterns of Birds in Communal Roosts From Polarimetric Weather Radar Data

Abstract: Communal roosts are essential stopover sites for migratory birds. Monitoring the diurnal activity patterns of birds in communal roosts (DAPBCRs) is crucial for understanding their migratory ...
GitHub

PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.

🔍 PDF parser for AI data extraction — Extract Markdown, JSON (with bounding boxes), and HTML from any PDF. #1 in benchmarks (0.907 overall). Deterministic local mode + AI hybrid mode for complex ...
LinkedIn

Interview #473: How do you parse JSON data in Python?

JSON (JavaScript Object Notation) has become the standard format for exchanging data between applications, APIs, web services, and databases. Whether you are a Python developer, test automation ...
GitHub

Document knowledge mining solution accelerator

Ingest, extract, and classify content from a high volume of assets to gain deeper insights and generate relevant suggestions for quick and easy reasoning. This enables the ability to conduct ...