We have witnessed in recent years an ever-growing volume of information becoming
available in a streaming manner in various application areas. As a result, there is an …

Computer vision syndrome causes vision problems and discomfort mainly due to dry eye.
Several studies show that dry eye in computer users is caused by a reduction in the blink …

An enormous and ever-growing volume of data is nowadays becoming available in a
sequential fashion in various real-world applications. Learning in nonstationary …

There is an emerging need for predictive models to be trained on-the-fly, since in numerous
machine learning applications data are arriving in an online fashion. A critical challenge …

In our digital universe nowadays, enormous amount of data are produced in a streaming
manner in a variety of application areas. These data are often unlabelled. In this case …

Using deep learning models to classify time series data generated from the Internet of
Things (IoT) devices requires a large amount of labeled data. However, due to constrained …

Batch mode active learning (BMAL) is devoted to training trustful learning models with
scarce labeled samples by efficiently asking the ground truth annotations of the most …

In real-world applications, the process generating the data might suffer from nonstationary
effects (eg, due to seasonality, faults affecting sensors or actuators, and changes in the …

This paper presents the novel task of bluespotted ribbontail (BR) ray (Taeniura lymma)
recognition using deep learning based computer vision methods to enable the identification …

Stock trading has tremendous importance not just as a profession but also as an income
source for individuals. Many investment account holders use the appreciation of their …