Self-powered flexible devices with skin-like multiple sensing ability have attracted great
attentions due to their broad applications in the Internet of Things (IoT). Various methods …

Automated recognition of handwritten characters and digits is a challenging task. Although a
significant amount of literature exists for automatic recognition of handwritten characters of …

Numeral recognition plays a crucial role in creating automated systems such as posting
address sorting and license plate recognition. Nowadays, numeral recognition systems …

As deep learning continues to evolve, we have observed huge breakthroughs in the fields of
medical imaging, video and frame generation, optical character recognition (OCR), and …

Handwritten character recognition (HCR) remains a challenging pattern recognition problem
despite decades of research, and lacks research on script independent recognition …

With the rise of the techniques including big data and artificial intelligence, we now have a
higher-level technology in solving image classification problems, and increase the accuracy …

The brain-inspired hyperdimensional computing (HDC) gains attention as a light-weight and
extremely parallelizable learning solution alternative to deep neural networks. Prior …

Active Learning is a very common yet powerful framework for iteratively and adaptively
sampling subsets of the unlabeled sets with a human in the loop with the goal of achieving …

Handwritten digit recognition is one of the significant challenging problems, finding usage in
fields like postal mail arranging and healthcare. Thus, it evokes the necessity for a …

In the realm of data analysis and document processing, the recognition of handwritten
numerals stands as a pivotal advancement. This contribution has steered transformative …