In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …

Encoder-decoder models have become an effective approach for sequence learning tasks
like machine translation, image captioning and speech recognition, but have yet to show …

In the recent decades, the handwritten character recognition is still a challenging process in
the pattern recognition field. The handwritten digits and characters are not always of the …

The adoption of electronic health records (EHRs) is an important step in the development of
modern medicine. However, complete health records are not often available during …

In this paper, a Competitive Neural Network circuit based on voltage-controlled memristors
is proposed, of which the synapse structure is one memristor (1M). The designed circuit …

Handwritten text recognition, ie, the conversion of scanned handwritten documents into
machine-readable text, is a complex exercise due to the variability and complexity of …

Abstract Arabic Handwritten Text Recognition (AHTR) based on deep learning approaches
remains a challenging problem due to the inevitable domain shift like the variability among …

This paper introduces a new publicly available image-based Swedish historical handwritten
character and word dataset named C haracter Ar kiv D igital S weden (CArDIS)(https …

Abstract Handwritten Document Recognition (HDR) has emerged as a challenging task
integrating text and layout information recognition to tackle manuscripts end-to-end. Despite …

Off-line handwritten text recognition (HTR) poses a significant challenge due to the
complexities of variable handwriting styles, background degradation, and unconstrained …