A myriad of works has been published for achieving data clustering based on the Bayesian paradigm, where the clustering sometimes resorts to Naïve-Bayes decisions. Within the domain of clustering, the Bayesian principle ...

Anti-patterns and code smells are archetypes used for describing software design shortcomings that can negatively affect software quality, in particular maintainability. Tools, metrics and methodologies ...

A hidden Markov model with two hidden layers is considered. The bottom layer is a Markov chain and given this the variables in the second hidden layer are assumed conditionally independent and Gaussian distributed. The ...

Visually impaired individuals often rely on assistive technologies such as white canes for independent navigation. Many electronic enhancements to the traditional white cane have been proposed. However, only a few of these ...

Soft Qwerty keyboards are widely used on mobile devices such as tablets and smartphones. Research into physical keyboards have found split keyboards to be ergonomically better than ordinary physical keyboards. Consequently, ...

Dry eye disease (DED) has a prevalence of between 5 and 50%, depending on the diagnostic criteria used and population under study. However, it remains one of the most underdiagnosed and undertreated conditions in ophthalmology. ...

To estimate the reliability and cognitive states of operator performance in a human-machine collaborative environment, we propose a novel human mental workload (MW) recognizer based on deep learning principles and utilizing ...

All students should have equal opportunities to pursue education. When the COVID-19 pandemic began, almost all teaching activities had to be switched from the traditional face-to-face format to digital platforms. Although ...

There is evidence that biological systems, such as the brain, work at a critical regime robust to noise, and are therefore able to remain in it under perturbations. In this work, we address the question of robustness of ...

Data stored in transactional databases are vulnerable to noise and outliers and are often discarded at the early stage of data mining. Abnormal transactions in the marketing transactional database are those transactions ...