IEEE

Handwritten Text Recognition in Ancient Manuscripts Using Convolutional Neural Networks (CNN)

Abstract: Handwritten Text Recognition (HTR) in ancient manuscripts is a crucial task for preserving and analyzing historical records. Convolutional Neural Networks (CNN) offer a powerful approach to ...
GitHub

mohansree14/Bayesian-Deep-Learning-for-Probabilistic-Financial-Forecasting

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
IEEE

Robust Automatic Modulation Recognition Using Convolutional Deep Neural Networks

Abstract: This work looks into Automated Modulation Categorization (AMC), essential in military and civil projects. The Convolutional neural networks (CNN) form the foundation of a powerful AMC ...
Associated Press

Jahmyr Gibbs rescues Lions with long TD run in OT for 34-27 win over Giants

Copyright 2025 The Associated Press. All Rights Reserved. Copyright 2025 The Associated Press. All Rights Reserved. Detroit Lions running back Jahmyr Gibbs (0) runs ...
ZDNet

Slow internet? The right way to run a speed test (and what to do with the results)

Accelerate your tech game Paid Content How the New Space Race Will Drive Innovation How the metaverse will change the future of work and society Managing the ...
Frontiers

Enhancing Bangla handwritten character recognition using Vision Transformers, VGG-16, and ...

Bangla Handwritten Character Recognition (BHCR) remains challenging due to complex alphabets, and handwriting variations. In this study, we present a comparative evaluation of three deep learning ...