Deep learning models, particularly Convolutional Neural Networks (CNN), are the core technologies for current Chinese handwriting recognition. The workflow can be summarized in the following steps: ...

Future OCR table recognition systems will also have adaptive learning capabilities, enabling them to automatically adjust recognition models based on user feedback and changes in ...

In 540p-to-1080p comparisons, NSS improves stability and detail retention. It performs well in scenes with fast motion, ...

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...

Day,” when quantum computers can break today’s encryption—possibly by 2030—posing risks for crypto, security, and finance.

Abstract: Comparison of machine-learning antenna models, based on one deep neural network, an ensemble of neural networks and a mixture of experts, is presented. Two datasets comprising 100,000 ...

Transformer models adapted from natural language processing, such as BERT, identify semantic flaws in code, including ...

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

Abstract: This paper investigates an unmanned aerial vehicle (UAV) assisted semantic network where the ground users (GUs) periodically capture and upload the sensing information to a base station (BS) ...

In this study, an integrated artificial intelligence (AI)-atomic force microscopy (AFM) platform is introduced that enables ...

The integration of deep learning in biodiesel research accelerates feedstock evaluation and optimizes production, making it ...