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.

24B Records Exposed in Massive Leak of Emails, Passwords, and Login Data

Cybernews researchers found an exposed database with 24 billion credential records, raising fresh risks from password reuse ...
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 ...
note

[Java Programming] Cleanly Eliminate Data Duplication! A Smart Method for Extracting Unique Elements Using the Stream API

In the development and operation of web applications and internal business systems, the requirement to "remove duplicates and extract only unique data" from accumulated datasets arises very frequently ...
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 ...
ebm.bmj

From promise to practice: challenges and pitfalls in the evaluation of large language models for data extraction in evidence synthesis

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be ...