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

Human Activity Recognition From Radar Signals Based on FBSE-EWT and Quantum Convolution Neural Network

Abstract: Frequency-modulated continuous wave (FMCW) radar signals reflected from the human activities are analyzed to enable accurate recognition and classification, forming the basis for activity ...
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 ResNet-50: a performance analysis

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 ...