The identification of the two-phase flow regime is the most fundamental and crucial target of
fluid mechanics in the nuclear thermal-hydraulic analysis since the accuracy of fluid and …

Recent deep learning based approaches have achieved great success on handwriting
recognition. Chinese characters are among the most widely adopted writing systems in the …

Just like its great success in solving many computer vision problems, the convolutional
neural networks (CNN) provided new end-to-end approach to handwritten Chinese …

Recent deep learning based methods have achieved the state-of-the-art performance for
handwritten Chinese character recognition (HCCR) by learning discriminative …

Handwritten Arabic character recognition systems face several challenges, including the
unlimited variation in human handwriting and large public databases. In this work, we model …

Providing computers with the ability to process handwriting is both important and
challenging, since many difficulties (eg, different writing styles, alphabets, languages, etc.) …

Handwritten Chinese text recognition based on over-segmentation and path search
integrating multiple contexts has been demonstrated successful, wherein the language …

Like other problems in computer vision, offline handwritten Chinese character recognition
(HCCR) has achieved impressive results using convolutional neural network (CNN)-based …

Recent years have seen increased interests in applying the latest technological innovations,
including artificial intelligence (AI) and machine learning (ML), to the field of education. One …

Automated techniques for Arabic content recognition are at a beginning period contrasted
with their partners for the Latin and Chinese contents recognition. There is a bulk of …