Since the inception of Industry 4.0 in 2012, emerging technologies have enabled the
acquisition of vast amounts of data from diverse sources such as machine tools, robust and …

The boom of the technological area has given rise to numerous new applications that
actually rule the entire world. Some of them mainly are the social media networks like the …

The prevalence of mobile devices (smartphones) along with the availability of high-speed
internet access world-wide resulted in a wide variety of mobile applications that carry a large …

Text classification is a quintessential and practical problem in natural language processing
with applications in diverse domains such as sentiment analysis, fake news detection …

A plethora of negative behavioural activities have recently been found in social media.
Incidents such as trolling and hate speech on social media, especially on Twitter, have …

Identification of threatening text on social media platforms is a challenging task. Contrary to
the high-resource languages, the Urdu language has very limited such approaches and the …

Feature engineering is a computationally time-consuming process in the end-to-end
machine learning pipeline. Large amounts of text data are being generated on many …

In order to diagnose sleep problems, it is critical to correctly identify sleep stages which is a
labor-intensive task. Due to rising data volumes, advanced algorithms, and improvements in …

Paramount and vast applications such as social networks deal with big graphs. For this
reason, big graph analysis and processing is currently a necessity. Detection of connected …

Nowadays, billions of people engage in communication and express their opinions on the
internet daily. Unfortunately, not all of these expressions are friendly or compliant, making …