Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...
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 ...
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 ...
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 ...
Management expects the first quarter of fiscal 2026 to be transitional, reflecting challenging sales comparisons, tariff-related costs, and moderating consumer sentiment. Drabik described expectations ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results