LiteParse : Open-Source Tool Finally Fixing OCR’s Biggest Table & Layout Flaws

LiteParse pairs fast text parsing with a two-stage agent pattern, falling back to multimodal models when tables or charts ...
The American BazaarOpinion

Opening up the AI peephole: Toward not misunderstanding each other

The debate about AI’s impact is not just about technology; it is also about the gap between how it works and how it appears ...
IEEE

Partial Discharge Pattern Recognition Method Based on SIFT-BOVF and Siamese-VGG with Limited Training Samples for Generator Stator

Abstract: Accurate pattern recognition under conditions of limited training samples is a significant challenge in partial discharge (PD) detection for generators. To address this issue, a novel method ...
GitHub

This project is a simple and practical face recognition-based attendance system built using Python, Flask, and OpenCV.

Face-Attendance/ │ ├── app.py # Main Flask application ├── utils.py # Face detection and capture functions ├── train_model.py # Model training (KNN) ├── attendance.csv # Attendance records ├── ...
siliconcanals

9 signs your brain is wired for pattern recognition in a way most people never develop, and it almost always traces back to how unpredictable your childhood environment was

Bessel van der Kolk, a prominent psychiatrist who spent decades studying how trauma reshapes the body, once described a patient who could walk into a crowded room and immediately identify which person ...
IEEE

Optical Sequence Pattern Recognition of 4-symbol OOK Signal for Photonic Firewall

Abstract: In this paper, a 4-symbol on-off keying sequence pattern recognition scheme is proposed. Sequence pattern recognition serves as the core mechanism of the photonic firewall. The recognition ...
GitHub

pattern_causality_py

pattern_causality is a comprehensive Python library that implements the Pattern Causality algorithm for analyzing causal relationships in time series data. This package provides efficient tools for ...