Context Although recognition works on mathematical expressions have been explored for
four decades, the current literature and trends are varied and frequently influenced by …

Handwriting has continued to persist as a means of communication and recording
information in day-to-day life even with the introduction of new technologies. Given its …

We describe an online handwriting system that is able to support 102 languages using a
deep neural network architecture. This new system has completely replaced our previous …

In the IoT and WSN era, large number of connected objects and sensing devices are
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …

Air-writing refers to writing of linguistic characters or words in a free space by hand or finger
movements. Air-writing differs from conventional handwriting; the latter contains the pen-up …

In this paper, a hidden Markov model with auto-correlated observations (HMM-AO) is
developed to handle the degradation modeling of manufacturing systems. Unlike the …

Self-supervised learning has gained prominence due to its efficacy at learning powerful
representations from unlabelled data that achieve excellent performance on many …

Abstract Dynamic Bayesian networks (DBNs) are a useful tool for representing complex
stochastic processes. Recent developments in inference and learning in DBNs allow their …