In the handwriting recognition field, the deep learning is becoming the new trend thanks to their ability to deal with unlabeled raw data especially with the huge size of raw data available nowadays.

Device-free sensing using WiFi channel state information (CSI) is a non-intrusive method of human activity recognition in an urban built environment. In this paper, we propose a human activity ...

Handwritten digit recognition | ... IMU2Text: A hybrid CNN+GNN pipeline for handwriting recognition and trajectory prediction using IMU data with state-of-the-art accuracy (99.74%). cnn imu ...

Many of the Dead Sea Scrolls could be older than once thought, a new study suggests.According to Mladen Popović, lead author of the report published in PLOS One, the analysis used both ...

Contribute to D13garg/Handwritten-digit-recognition-using-cnn development by creating an account on GitHub. Skip to content. Navigation Menu Toggle navigation. Sign in Appearance settings. Product ...

Arabic handwritten characters are important in many applications, making reliable recognition systems essential. In this study, we present a new method for Arabic Handwritten Recognition (AHR) that ...

Deep Convolutional Neural Networks - also known as DCNN - are powerful models for different visual pattern classification problems. Many works in this field use image augmentation at the training ...