As citizens of countries and employees become comfortable using mobile technology, there is an opportunity for the workplace to deliver training using mobile technology. Using mobile learning allows employees to learn just ...

Handwriter identification aims to simplify the task of forensic experts by providing them with semi-automated tools in order to enable them to narrow down the search to determine the final identification of an unknown ...

This study addresses the problem of identifying the authorship of historical manuscripts, a challenging task that offers interesting applications for document examiners and paleographers. We exploit handwriting texture as ...

This paper proposes a new convolutional neural network architecture to tackle the problem of word spotting in handwritten documents. A Deep learning approach using a novel Convolutional Neural Network is developed for the ...

While peer-agreement and gold checks are well-established methods for ensuring quality in crowdsourced data collection, we explore a relatively new direction for quality control: estimating work quality directly from ...

The challenges of population management as urban density increase globally have compelled researchers and developers to consider more efficient means of managing resources in cities. Consequently, the smart city concept ...

Many spectrum sensing techniques have been proposed to allow a secondary user (SU) to utilize a primary user's (PU) spectrum through opportunistic access. However, few of them have considered the tradeoff between accuracy ...