GitHub

Prometheus Time Series Anomaly Detection with LSTM Autoencoder

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...
IEEE

SMN-YOLO: Lightweight YOLOv8-Based Model for Small Object Detection in Remote Sensing Images

Abstract: The remote sensing image object detection has advanced significantly; yet, small object detection remains challenging due to their limited size and varying scales. Furthermore, real-world ...
IEEE

CGI-Based Synthetic Data Generation and Detection Pipeline for Small Objects in Aerial Imagery

Abstract: Small object detection in drone-captured imagery presents critical challenges across environmental monitoring, urban planning, and disaster management. Current approaches struggle with ...
Page Six

Sydney Sweeney’s new lingerie line, Syrn, is all about ‘the art of the tease’

Sydney Sweeney knows how to keep people waiting. The “Euphoria” actress, 28, is officially launching her new lingerie line, Syrn (pronounced “sye-rin,” according to the brand), on Jan. 28, with a drop ...
GitHub

LINEA: Fast and accurate line detection using scalable transformers

LINEA is a powerful real-time line detector that introduces Line Attention mechanism, achieving outstanding performance without being pretrained on COCO or Object365 datasets. Attention Mechanishm We ...